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Processing in-Memory AI Chips Market Set to Skyrocket from $231M in 2025 to $44B by 2032 at 112.4% CAGR | Valuates Reports

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2 months ago

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What is the Market Size of Processing in-Memory AI Chips?

BANGALORE, India, April 29, 2026 /PRNewswire/ — The global Processing in-memory AI Chips market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.

 

 

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What are the key factors driving the growth of the Processing in-Memory AI Chips Market?

The processing in-memory AI chips market is expanding due to growing pressures on compute architectures from data movement inefficiency, latency constraints, rising power sensitivity, and deployment cost control across AI workloads.Demand is shifting toward chip designs that minimize the distance between memory and computation, enabling faster inference execution and better throughput under constrained thermal and energy conditions.This trend is especially relevant for workloads where bandwidth pressure, response time, and local processing efficiency directly determine system value.The market benefits from broader interest in architectures supporting both edge and data center AI tasks, without full reliance on conventional processor-memory separation.These factors create a strong commercial foundation for processing in-memory adoption.

Source from Valuates Reports: https://reports.valuates.com/market-reports/QYRE-Auto-15O17238/global-processing-in-memory-ai-chips

TRENDS INFLUENCING THE GROWTH OF THE PROCESSING IN-MEMORY AI CHIPS MARKET:

DRAM-PIM is driving growth in the processing in-memory AI chips market by addressing one of the most persistent bottlenecks in AI computing, which is the heavy cost of transferring data between memory and logic. By embedding compute capability closer to high-capacity memory structures, DRAM-PIM improves efficiency in bandwidth-intensive inference and parallel data handling environments. This makes it highly relevant for larger models and workloads that require sustained access to large datasets with lower latency overhead. Its role in improving throughput while reducing external data shuttling is strengthening its position in advanced AI infrastructure, particularly where performance scaling must happen without proportionate increases in power draw or board-level complexity.

SRAM-PIM is supporting market growth by serving AI use cases that prioritize low latency, fast local access, and power-efficient computation in compact environments. Its architectural suitability for tightly coupled memory and processing enables faster execution of inference tasks where response speed is critical and repeated memory access patterns are concentrated. This makes SRAM-PIM especially attractive in edge AI systems, embedded intelligence platforms, and applications where energy budgets and footprint limitations are decisive purchase factors. As device-side intelligence becomes more valuable across industrial, consumer, and autonomous systems, SRAM-PIM is gaining traction as a practical route to delivering on-chip efficiency without the penalties associated with conventional memory-transfer-heavy architectures.

In-memory processing chips are driving the growth of the processing in-memory AI chips market by creating a more application-aligned hardware approach for modern AI inference. Their appeal lies in improving usable performance per watt, reducing system bottlenecks, and enabling more scalable deployment economics across both small and large computing power environments. These chips are increasingly viewed as a structural response to the limitations of traditional architectures in handling AI workloads efficiently. As buyers seek solutions that can balance throughput, heat, latency, and integration flexibility, in-memory processing chips are moving from niche experimentation toward broader commercial adoption, supporting a market that is increasingly defined by workload efficiency rather than raw compute expansion alone.

A major factor supporting the market is the growing need to reduce the cost of data movement inside AI systems. In conventional architectures, moving data back and forth between memory and processors consumes time, power, and system resources. Processing in-memory chips directly address this problem by bringing computation closer to stored data. This improves execution efficiency and makes the architecture attractive for inference-heavy environments where repetitive data access creates performance drag. As buyers increasingly evaluate compute systems based on usable efficiency rather than nominal processing strength, demand for architectures that minimize data transport overhead continues to strengthen the market.

Power efficiency is emerging as a decisive growth factor for the processing in-memory AI chips market. AI deployment is no longer limited to environments where power availability is secondary. Enterprises, edge operators, and embedded system developers now require hardware that can support meaningful intelligence under tight energy and thermal budgets. Processing in-memory designs improve energy utilization by reducing unnecessary memory access traffic and enabling more efficient task execution. This gives them strong relevance in a market where lower operating cost, thermal manageability, and sustained performance matter as much as raw computational output, especially across continuously running inference systems and distributed AI infrastructure.

The expansion of edge AI is supporting market growth by increasing demand for chips that can perform inference closer to the source of data. Edge systems need fast decision-making, low energy consumption, and compact integration, all of which align well with processing in-memory designs. As intelligence moves into cameras, sensors, industrial devices, and smart endpoints, conventional architectures often face efficiency tradeoffs that reduce suitability in such environments. Processing in-memory chips help overcome these limitations by supporting local computation with lower latency and reduced data transfer dependency. This makes the technology increasingly relevant as edge intelligence shifts from optional capability to essential product differentiation.

The growing complexity of AI inference workloads is creating favorable conditions for processing in-memory adoption. As models become more memory-intensive and inference demand spreads across commercial applications, the limitations of traditional compute-memory separation become harder to ignore. Buyers are looking for architectures that can handle repeated memory access more efficiently and sustain performance under real deployment conditions. Processing in-memory chips respond to this need by improving memory interaction efficiency, which is particularly valuable in workloads where bandwidth and latency determine real-world usefulness. This shift is helping the market as hardware decisions become increasingly shaped by inference practicality rather than theoretical compute scale.

The market is also benefiting from a growing emphasis on cost-per-inference rather than simple peak performance comparisons. Buyers increasingly want AI hardware that can deliver consistent workload execution with better efficiency, lower supporting infrastructure requirements, and more practical deployment economics. Processing in-memory chips are well positioned in this context because they help reduce some of the overhead traditionally associated with memory bottlenecks, energy consumption, and system complexity. Their value proposition becomes stronger when purchasing decisions are based on long-term operating efficiency and scalable deployment. This cost discipline is pushing interest toward architectures that offer more balanced performance across real commercial use cases.

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What are the major product types in the Processing in-memory AI Chips Market?

DRAM-PIMSRAM-PIM

What are the main applications of the Processing in-memory AI Chips Market?

Near-Memory Computing (PNM) ChipIn-Memory Processing (PIM) ChipIn-Memory Computing (CIM) Chip

Key Players in the Processing in-memory AI Chips Market:

MyhticSyntiantD-MatrixHangzhou Zhicun (Witmem) TechnologyBeijing Pingxin TechnologyAistarTekSAMSUNGSK HynixShenzhen Reexen TechnologyGraphcoreAxelera AISuzhou Yizhu Intelligent TechnologyBeijing Houmo TechnologyEnCharge AI

Which region dominates the Processing in-memory AI chips market?

Asia-Pacific remains the most dynamic region due to its deep semiconductor ecosystem, expanding edge device manufacturing base, strong memory technology orientation, and increasing integration of AI into consumer and industrial electronics. China is supporting market formation through locally aligned compute architecture development, while South Korea, Japan, and Taiwan provide supply-side depth through memory and advanced chip ecosystem capabilities. Other regions are adopting more gradually, mainly through selective edge AI and infrastructure modernization use cases.

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What are some related markets to the Processing in-memory ai chips market?

Computing in Memory Technology Market was valued at USD 268 Million in the year 2024 and is projected to reach a revised size of USD 175260 Million by 2031, growing at a CAGR of 154.7% during the forecast period.In-memory Computing Chips for AI market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.HTAP-Enabling In-Memory Computing Technologies MarketIMDG (In-Memory Data Grid) Software Market Research ReportEmbedded Ai Chips Market Research ReportUltra-low Power AI Chips Market Research ReportHigh-Bandwidth Memory Chips Market was valued at USD 3816 Million in the year 2024 and is projected to reach a revised size of USD 139450 Million by 2031, growing at a CAGR of 68.2% during the forecast period.LPDDR Chips Market was valued at USD 6891 Million in the year 2024 and is projected to reach a revised size of USD 10870 Million by 2031, growing at a CAGR of 6.8% during the forecast period.Semiconductor Memory Market was valued at USD 125890 Million in the year 2024 and is projected to reach a revised size of USD 232900 Million by 2031, growing at a CAGR of 9.3% during the forecast period.AI Calculus Chips Market was valued at USD 46520 Million in the year 2024 and is projected to reach a revised size of USD 269300 Million by 2031, growing at a CAGR of 25.1% during the forecast period.Military Chips Market was valued at USD 1168 Million in the year 2024 and is projected to reach a revised size of USD 1583 Million by 2031, growing at a CAGR of 4.5% during the forecast period.

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Technology

In HelloNation, HVAC Expert Bob Schmid Outlines Causes of Air Conditioner Cooling Issues

Published

9 minutes ago

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June 19, 2026

By

The article outlines common causes of cooling problems and how maintenance supports consistent performance in coastal environments.

OCEAN VIEW, N.J., June 19, 2026 /PRNewswire/ — Why is an air conditioner not cooling properly during periods of high demand? HelloNation has published the answer in an article featuring insights from HVAC Expert Bob Schmid of Richardson Heating & Cooling in Ocean View, NJ.

The HelloNation article explains that an air conditioner not cooling often signals an underlying issue that requires attention. In coastal areas like Ocean View and Cape May County, systems face added stress from humidity and salt exposure. These environmental factors can reduce air conditioner cooling efficiency and make early diagnosis more important.

One of the most common causes identified in the article is a dirty air filter. Over time, a dirty air filter collects dust and debris that restrict airflow. This restriction prevents proper circulation, which reduces air conditioner cooling throughout the home. The article notes that regularly replacing or cleaning a dirty air filter is a simple but effective way to maintain system performance.

Low refrigerant is another frequent contributor to air conditioner not cooling issues. Refrigerant is essential for removing heat from indoor air, and low refrigerant levels can disrupt this process. The article explains that low refrigerant often results from leaks and can lead to longer run times and uneven cooling. Addressing low refrigerant promptly helps restore consistent air conditioner cooling and reduces strain on the system.

The article also highlights the role of coils in system performance. Dirty or blocked coils limit the system’s ability to transfer heat, which directly impacts air conditioner cooling. This issue is particularly common in coastal HVAC systems, where salt and moisture can accelerate buildup on outdoor units.

Salt exposure is a significant concern in coastal environments. The article describes how salt can accumulate on components, causing corrosion and restricting airflow. These conditions contribute to air conditioner not cooling problems and require regular maintenance to manage effectively. Coastal HVAC systems benefit from consistent cleaning and inspection to prevent long term damage.

Thermostat problems can also affect performance. If a thermostat is not calibrated correctly or is placed in an area with uneven temperatures, it may not reflect the home’s actual needs. The article explains that this can lead to improper cycling and reduced air conditioner cooling efficiency.

Ductwork issues are another possible cause of uneven cooling. Leaks or blockages can prevent cool air from reaching certain areas, resulting in inconsistent temperatures. Addressing duct problems can improve airflow and help resolve air conditioner not cooling concerns.

The article emphasizes that preventive care is essential. HVAC maintenance plans help identify issues such as low refrigerant, dirty air filter buildup, and worn components before they escalate. HVAC maintenance plans are especially valuable for coastal HVAC systems, where environmental stress increases the risk of performance problems.

The article also notes that early warning signs should not be ignored. Weak airflow, unusual noises, or inconsistent temperatures often indicate an air conditioner not cooling issue. Taking action early helps preserve system efficiency and maintain reliable air conditioner cooling.

The article concludes that understanding these common causes allows homeowners to make informed decisions. Addressing factors like low refrigerant, dirty air filter buildup, and coastal exposure helps ensure consistent air conditioner cooling and long term system reliability.

Why Your Air Conditioner Isn’t Cooling Properly features insights from Bob Schmid, HVAC Expert of Ocean View, NJ, in HelloNation.

About HelloNation

HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused digital publications and innovative “edvertising” approach, HelloNation delivers expert-driven, good-news content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities. HelloNation maintains partnerships with the U.S. Conference of Mayors, and the United States First Responders Association.

View original content to download multimedia:https://www.prnewswire.com/news-releases/in-hellonation-hvac-expert-bob-schmid-outlines-causes-of-air-conditioner-cooling-issues-302805535.html

SOURCE HelloNation

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Hexagon Composites ASA: Preliminary results of Subsequent Offering

Published

9 minutes ago

on

June 19, 2026

By

OSLO, Norway, June 19, 2026 /PRNewswire/ — NOT FOR RELEASE, PUBLICATION OR DISTRIBUTION, IN WHOLE OR IN PART DIRECTLY OR INDIRECTLY, IN OR INTO AUSTRALIA, CANADA, JAPAN, HONG KONG, SOUTH AFRICA OR THE UNITED STATES OR ANY OTHER JURISDICTION IN WHICH THE RELEASE, PUBLICATION OR DISTRIBUTION WOULD BE UNLAWFUL. THIS ANNOUNCEMENT DOES NOT CONSTITUTE AN OFFER OF ANY OF THE SECURITIES DESCRIBED HEREIN.

Reference is made to the stock exchange announcement made by Hexagon Composites ASA (the “Company”) on 8 June 2026 regarding commencement of the subscription period for the subsequent offering (the “Subsequent Offering”) of up to 15,625,000 new shares in the Company (the “Offer Shares”) at a subscription price of NOK 8.00 per share.

The subscription period for the Subsequent Offering expired today, 19 June 2026 at 16:30 (CEST).

Preliminary counting indicates that the Company has received subscriptions for approximately 13,150,141 Offer Shares in the Subsequent Offering.

The final allocation of the Offer Shares is expected to take place on 22 June 2026, in accordance with the allocation criteria set out in the prospectus for the Subsequent Offering dated 5 June 2026. The final results of the Subsequent Offering will be published shortly thereafter, and notifications regarding the allocation of Offer Shares and the corresponding subscription amount to be paid by each subscriber are expected to be distributed during the course of 22 June 2026.

The due date for payment of the Offer Shares is 24 June 2026 (the “Payment Date”). In order for payment to take place on the Payment Date, subscribers must ensure that there are sufficient funds on the bank account to be debited on 23 June 2026.

Advisors
DNB Carnegie, a part of DNB Bank ASA, is acting as manager for the Subsequent Offering (the “Manager”). Advokatfirmaet Schjødt AS is acting as legal counsel to the Company.  

For more information:
Berit-Cathrin Høyvik, Senior Director, Communications,Hexagon Composites
Telephone: +47 988 92 161 | berit-cathrin.hoyvik@hexagongroup.com

Eirik Løhre, CFO, Hexagon Composites
Telephone: +1 704 777 5171 (US Eastern time zone) | eirik.lohre@hexagongroup.com

About Hexagon Composites ASA 
Hexagon delivers safe and innovative solutions for a cleaner energy future. Our solutions enable storage, transportation, and conversion to clean energy in a wide range of mobility and industrial applications. Learn more at www.hexagongroup.com and follow @HexagonASA on LinkedIn.

IMPORTANT INFORMATION

This announcement does not constitute or form a part of any offer of securities for sale or a solicitation of an offer to purchase securities of the Company in the United States or any other jurisdiction. The securities of the Company may not be offered or sold in the United States absent registration or an exemption from registration under the U.S. Securities Act of 1933, as amended (the “U.S. Securities Act”). The securities of the Company have not been, and will not be, registered under the U.S. Securities Act, and may not be offered or sold in the United States absent registration under the US Securities Act or an available exemption from, or transaction not subject to, the registration requirements of the US Securities Act. There will be no public offering of securities in the United States. Any sale in the United States of the securities mentioned in this communication will be made solely to “qualified institutional buyers” as defined in Rule 144A under the U.S. Securities Act. No public offering of the securities will be made in the United States.

The Company has not authorized any offer to the public of securities in any Member State of the European Economic Area nor elsewhere. With respect to any Member State of the European Economic Area (each an “EEA Member State”), no action has been undertaken or will be undertaken to make an offer to the public of securities requiring publication of a prospectus in any EEA Member State. In any EEA Member State, this communication is only addressed to and is only directed at qualified investors in that Member State within the meaning of the EU Prospectus Regulation, i.e., only to investors who can receive the offer without an approved prospectus in such EEA Member State. The expression “EU Prospectus Regulation” means Regulation (EU) 2017/1129 of the European Parliament and of the Council of 14 June 2017 (together with any applicable implementing measures in any Member State).

In the United Kingdom, these materials are only being communicated to (a) persons who have professional experience, knowledge and expertise in matters relating to investments and qualifying as “investment professionals” for the purposes of article 19(5) of the Financial Services and Markets Act 2000 (Financial Promotion) Order 2005 (all such persons being referred to as “relevant persons”) and (b) only in circumstances falling within the circumstances set out in Part 1 of Schedule 1 to The Public Offers and Admissions to Trading Regulations 2024. These materials are directed only at relevant persons and must not be acted on or relied on by persons who are not relevant persons.

Matters discussed in this announcement may constitute forward-looking statements. Forward-looking statements are statements that are not historical facts and may be identified by words such as “anticipate”, “believe”, “continue”, “estimate”, “expect”, “intend”, “may”, “should”, “will” and similar expressions. The forward-looking statements in this release are based upon various assumptions, many of which are based, in turn, upon further assumptions. Although the Company believes that these assumptions were reasonable when made, these assumptions are inherently subject to significant known and unknown risks, uncertainties, contingencies and other important factors which are difficult or impossible to predict and are beyond its control. Such risks, uncertainties, contingencies and other important factors could cause actual events to differ materially from the expectations expressed or implied in this release by such forward-looking statements. The information, opinions and forward-looking statements contained in this announcement speak only as at its date and are subject to change without notice.

This announcement is made by and is the responsibility of, the Company. The Manager is acting exclusively for the Company and no one else and will not be responsible to anyone other than the Company for providing the protections afforded to their respective clients, or for advice in relation to the contents of this announcement or any of the matters referred to herein. Neither the Manager nor any of its affiliates make any representation as to the accuracy or completeness of this announcement and none of them accepts any responsibility for the contents of this announcement or any matters referred to herein.

This announcement is not a prospectus. This announcement is for information purposes only and is not to be relied upon in substitution for the exercise of independent judgment. It is not intended as investment advice and under no circumstances is it to be used or considered as an offer to sell, or a solicitation of an offer to buy any securities or a recommendation to buy or sell any securities of the Company. Neither the Manager nor any of its affiliates accepts any liability arising from the use of this announcement. Each of the Company, the Manager and their respective affiliates expressly disclaims any obligation or undertaking to update, review or revise any statement contained in this announcement whether as a result of new information, future developments or otherwise.

The distribution of this announcement and other information may be restricted by law in certain jurisdictions. Persons into whose possession this announcement or such other information should come are required to inform themselves about and to observe any such restrictions.

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/hexagon-composites-asa/r/hexagon-composites-asa–preliminary-results-of-subsequent-offering,c4365858

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Media Advisory – Minister Hodgson to make energy and mining announcements in Yellowknife

Published

9 minutes ago

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June 19, 2026

By

YELLOWKNIFE, NT, June 19, 2026 /CNW/ – The Minister of Energy and Natural Resources, the Honourable Tim Hodgson, will make energy and mining announcements on the margins of the 2026 Energy and Mines Ministers’ Conference (EMMC) taking place in Yellowknife, Northwest Territories, June 24–26, 2026. Media availabilities will follow.

Electricity announcement

Date: Tuesday, June 23, 2026

Time: 3 p.m. MT

Mining announcement

Date: Friday, June 26, 2026

Time: 8 a.m. MT

All accredited media are asked to pre-register by emailing media@nrcan-rncan.gc.ca. Details on how to participate will be provided upon registration.

Follow Natural Resources Canada on LinkedIn.

SOURCE Natural Resources Canada

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Processing in-Memory AI Chips Market Set to Skyrocket from $231M in 2025 to $44B by 2032 at 112.4% CAGR | Valuates Reports

Published

2 months ago

on

What is the Market Size of Processing in-Memory AI Chips?

BANGALORE, India, April 29, 2026 /PRNewswire/ — The global Processing in-memory AI Chips market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.

 

 

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What are the key factors driving the growth of the Processing in-Memory AI Chips Market?

The processing in-memory AI chips market is expanding due to growing pressures on compute architectures from data movement inefficiency, latency constraints, rising power sensitivity, and deployment cost control across AI workloads.Demand is shifting toward chip designs that minimize the distance between memory and computation, enabling faster inference execution and better throughput under constrained thermal and energy conditions.This trend is especially relevant for workloads where bandwidth pressure, response time, and local processing efficiency directly determine system value.The market benefits from broader interest in architectures supporting both edge and data center AI tasks, without full reliance on conventional processor-memory separation.These factors create a strong commercial foundation for processing in-memory adoption.

Source from Valuates Reports: https://reports.valuates.com/market-reports/QYRE-Auto-15O17238/global-processing-in-memory-ai-chips

TRENDS INFLUENCING THE GROWTH OF THE PROCESSING IN-MEMORY AI CHIPS MARKET:

DRAM-PIM is driving growth in the processing in-memory AI chips market by addressing one of the most persistent bottlenecks in AI computing, which is the heavy cost of transferring data between memory and logic. By embedding compute capability closer to high-capacity memory structures, DRAM-PIM improves efficiency in bandwidth-intensive inference and parallel data handling environments. This makes it highly relevant for larger models and workloads that require sustained access to large datasets with lower latency overhead. Its role in improving throughput while reducing external data shuttling is strengthening its position in advanced AI infrastructure, particularly where performance scaling must happen without proportionate increases in power draw or board-level complexity.

SRAM-PIM is supporting market growth by serving AI use cases that prioritize low latency, fast local access, and power-efficient computation in compact environments. Its architectural suitability for tightly coupled memory and processing enables faster execution of inference tasks where response speed is critical and repeated memory access patterns are concentrated. This makes SRAM-PIM especially attractive in edge AI systems, embedded intelligence platforms, and applications where energy budgets and footprint limitations are decisive purchase factors. As device-side intelligence becomes more valuable across industrial, consumer, and autonomous systems, SRAM-PIM is gaining traction as a practical route to delivering on-chip efficiency without the penalties associated with conventional memory-transfer-heavy architectures.

In-memory processing chips are driving the growth of the processing in-memory AI chips market by creating a more application-aligned hardware approach for modern AI inference. Their appeal lies in improving usable performance per watt, reducing system bottlenecks, and enabling more scalable deployment economics across both small and large computing power environments. These chips are increasingly viewed as a structural response to the limitations of traditional architectures in handling AI workloads efficiently. As buyers seek solutions that can balance throughput, heat, latency, and integration flexibility, in-memory processing chips are moving from niche experimentation toward broader commercial adoption, supporting a market that is increasingly defined by workload efficiency rather than raw compute expansion alone.

A major factor supporting the market is the growing need to reduce the cost of data movement inside AI systems. In conventional architectures, moving data back and forth between memory and processors consumes time, power, and system resources. Processing in-memory chips directly address this problem by bringing computation closer to stored data. This improves execution efficiency and makes the architecture attractive for inference-heavy environments where repetitive data access creates performance drag. As buyers increasingly evaluate compute systems based on usable efficiency rather than nominal processing strength, demand for architectures that minimize data transport overhead continues to strengthen the market.

Power efficiency is emerging as a decisive growth factor for the processing in-memory AI chips market. AI deployment is no longer limited to environments where power availability is secondary. Enterprises, edge operators, and embedded system developers now require hardware that can support meaningful intelligence under tight energy and thermal budgets. Processing in-memory designs improve energy utilization by reducing unnecessary memory access traffic and enabling more efficient task execution. This gives them strong relevance in a market where lower operating cost, thermal manageability, and sustained performance matter as much as raw computational output, especially across continuously running inference systems and distributed AI infrastructure.

The expansion of edge AI is supporting market growth by increasing demand for chips that can perform inference closer to the source of data. Edge systems need fast decision-making, low energy consumption, and compact integration, all of which align well with processing in-memory designs. As intelligence moves into cameras, sensors, industrial devices, and smart endpoints, conventional architectures often face efficiency tradeoffs that reduce suitability in such environments. Processing in-memory chips help overcome these limitations by supporting local computation with lower latency and reduced data transfer dependency. This makes the technology increasingly relevant as edge intelligence shifts from optional capability to essential product differentiation.

The growing complexity of AI inference workloads is creating favorable conditions for processing in-memory adoption. As models become more memory-intensive and inference demand spreads across commercial applications, the limitations of traditional compute-memory separation become harder to ignore. Buyers are looking for architectures that can handle repeated memory access more efficiently and sustain performance under real deployment conditions. Processing in-memory chips respond to this need by improving memory interaction efficiency, which is particularly valuable in workloads where bandwidth and latency determine real-world usefulness. This shift is helping the market as hardware decisions become increasingly shaped by inference practicality rather than theoretical compute scale.

The market is also benefiting from a growing emphasis on cost-per-inference rather than simple peak performance comparisons. Buyers increasingly want AI hardware that can deliver consistent workload execution with better efficiency, lower supporting infrastructure requirements, and more practical deployment economics. Processing in-memory chips are well positioned in this context because they help reduce some of the overhead traditionally associated with memory bottlenecks, energy consumption, and system complexity. Their value proposition becomes stronger when purchasing decisions are based on long-term operating efficiency and scalable deployment. This cost discipline is pushing interest toward architectures that offer more balanced performance across real commercial use cases.

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What are the major product types in the Processing in-memory AI Chips Market?

DRAM-PIMSRAM-PIM

What are the main applications of the Processing in-memory AI Chips Market?

Near-Memory Computing (PNM) ChipIn-Memory Processing (PIM) ChipIn-Memory Computing (CIM) Chip

Key Players in the Processing in-memory AI Chips Market:

MyhticSyntiantD-MatrixHangzhou Zhicun (Witmem) TechnologyBeijing Pingxin TechnologyAistarTekSAMSUNGSK HynixShenzhen Reexen TechnologyGraphcoreAxelera AISuzhou Yizhu Intelligent TechnologyBeijing Houmo TechnologyEnCharge AI

Which region dominates the Processing in-memory AI chips market?

Asia-Pacific remains the most dynamic region due to its deep semiconductor ecosystem, expanding edge device manufacturing base, strong memory technology orientation, and increasing integration of AI into consumer and industrial electronics. China is supporting market formation through locally aligned compute architecture development, while South Korea, Japan, and Taiwan provide supply-side depth through memory and advanced chip ecosystem capabilities. Other regions are adopting more gradually, mainly through selective edge AI and infrastructure modernization use cases.

Purchase Regional Report: https://reports.valuates.com/request/regional/QYRE-Auto-15O17238/Global_Processing_in_memory_AI_Chips_Market_Research_Report_2024

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We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.

What are some related markets to the Processing in-memory ai chips market?

Computing in Memory Technology Market was valued at USD 268 Million in the year 2024 and is projected to reach a revised size of USD 175260 Million by 2031, growing at a CAGR of 154.7% during the forecast period.In-memory Computing Chips for AI market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.HTAP-Enabling In-Memory Computing Technologies MarketIMDG (In-Memory Data Grid) Software Market Research ReportEmbedded Ai Chips Market Research ReportUltra-low Power AI Chips Market Research ReportHigh-Bandwidth Memory Chips Market was valued at USD 3816 Million in the year 2024 and is projected to reach a revised size of USD 139450 Million by 2031, growing at a CAGR of 68.2% during the forecast period.LPDDR Chips Market was valued at USD 6891 Million in the year 2024 and is projected to reach a revised size of USD 10870 Million by 2031, growing at a CAGR of 6.8% during the forecast period.Semiconductor Memory Market was valued at USD 125890 Million in the year 2024 and is projected to reach a revised size of USD 232900 Million by 2031, growing at a CAGR of 9.3% during the forecast period.AI Calculus Chips Market was valued at USD 46520 Million in the year 2024 and is projected to reach a revised size of USD 269300 Million by 2031, growing at a CAGR of 25.1% during the forecast period.Military Chips Market was valued at USD 1168 Million in the year 2024 and is projected to reach a revised size of USD 1583 Million by 2031, growing at a CAGR of 4.5% during the forecast period.

DISCOVER OUR VISION: VISIT ABOUT US!

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Technology

In HelloNation, HVAC Expert Bob Schmid Outlines Causes of Air Conditioner Cooling Issues

Published

9 minutes ago

on

June 19, 2026

By

The article outlines common causes of cooling problems and how maintenance supports consistent performance in coastal environments.

OCEAN VIEW, N.J., June 19, 2026 /PRNewswire/ — Why is an air conditioner not cooling properly during periods of high demand? HelloNation has published the answer in an article featuring insights from HVAC Expert Bob Schmid of Richardson Heating & Cooling in Ocean View, NJ.

The HelloNation article explains that an air conditioner not cooling often signals an underlying issue that requires attention. In coastal areas like Ocean View and Cape May County, systems face added stress from humidity and salt exposure. These environmental factors can reduce air conditioner cooling efficiency and make early diagnosis more important.

One of the most common causes identified in the article is a dirty air filter. Over time, a dirty air filter collects dust and debris that restrict airflow. This restriction prevents proper circulation, which reduces air conditioner cooling throughout the home. The article notes that regularly replacing or cleaning a dirty air filter is a simple but effective way to maintain system performance.

Low refrigerant is another frequent contributor to air conditioner not cooling issues. Refrigerant is essential for removing heat from indoor air, and low refrigerant levels can disrupt this process. The article explains that low refrigerant often results from leaks and can lead to longer run times and uneven cooling. Addressing low refrigerant promptly helps restore consistent air conditioner cooling and reduces strain on the system.

The article also highlights the role of coils in system performance. Dirty or blocked coils limit the system’s ability to transfer heat, which directly impacts air conditioner cooling. This issue is particularly common in coastal HVAC systems, where salt and moisture can accelerate buildup on outdoor units.

Salt exposure is a significant concern in coastal environments. The article describes how salt can accumulate on components, causing corrosion and restricting airflow. These conditions contribute to air conditioner not cooling problems and require regular maintenance to manage effectively. Coastal HVAC systems benefit from consistent cleaning and inspection to prevent long term damage.

Thermostat problems can also affect performance. If a thermostat is not calibrated correctly or is placed in an area with uneven temperatures, it may not reflect the home’s actual needs. The article explains that this can lead to improper cycling and reduced air conditioner cooling efficiency.

Ductwork issues are another possible cause of uneven cooling. Leaks or blockages can prevent cool air from reaching certain areas, resulting in inconsistent temperatures. Addressing duct problems can improve airflow and help resolve air conditioner not cooling concerns.

The article emphasizes that preventive care is essential. HVAC maintenance plans help identify issues such as low refrigerant, dirty air filter buildup, and worn components before they escalate. HVAC maintenance plans are especially valuable for coastal HVAC systems, where environmental stress increases the risk of performance problems.

The article also notes that early warning signs should not be ignored. Weak airflow, unusual noises, or inconsistent temperatures often indicate an air conditioner not cooling issue. Taking action early helps preserve system efficiency and maintain reliable air conditioner cooling.

The article concludes that understanding these common causes allows homeowners to make informed decisions. Addressing factors like low refrigerant, dirty air filter buildup, and coastal exposure helps ensure consistent air conditioner cooling and long term system reliability.

Why Your Air Conditioner Isn’t Cooling Properly features insights from Bob Schmid, HVAC Expert of Ocean View, NJ, in HelloNation.

About HelloNation

HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused digital publications and innovative “edvertising” approach, HelloNation delivers expert-driven, good-news content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities. HelloNation maintains partnerships with the U.S. Conference of Mayors, and the United States First Responders Association.

View original content to download multimedia:https://www.prnewswire.com/news-releases/in-hellonation-hvac-expert-bob-schmid-outlines-causes-of-air-conditioner-cooling-issues-302805535.html

SOURCE HelloNation

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Technology

Hexagon Composites ASA: Preliminary results of Subsequent Offering

Published

9 minutes ago

on

June 19, 2026

By

OSLO, Norway, June 19, 2026 /PRNewswire/ — NOT FOR RELEASE, PUBLICATION OR DISTRIBUTION, IN WHOLE OR IN PART DIRECTLY OR INDIRECTLY, IN OR INTO AUSTRALIA, CANADA, JAPAN, HONG KONG, SOUTH AFRICA OR THE UNITED STATES OR ANY OTHER JURISDICTION IN WHICH THE RELEASE, PUBLICATION OR DISTRIBUTION WOULD BE UNLAWFUL. THIS ANNOUNCEMENT DOES NOT CONSTITUTE AN OFFER OF ANY OF THE SECURITIES DESCRIBED HEREIN.

Reference is made to the stock exchange announcement made by Hexagon Composites ASA (the “Company”) on 8 June 2026 regarding commencement of the subscription period for the subsequent offering (the “Subsequent Offering”) of up to 15,625,000 new shares in the Company (the “Offer Shares”) at a subscription price of NOK 8.00 per share.

The subscription period for the Subsequent Offering expired today, 19 June 2026 at 16:30 (CEST).

Preliminary counting indicates that the Company has received subscriptions for approximately 13,150,141 Offer Shares in the Subsequent Offering.

The final allocation of the Offer Shares is expected to take place on 22 June 2026, in accordance with the allocation criteria set out in the prospectus for the Subsequent Offering dated 5 June 2026. The final results of the Subsequent Offering will be published shortly thereafter, and notifications regarding the allocation of Offer Shares and the corresponding subscription amount to be paid by each subscriber are expected to be distributed during the course of 22 June 2026.

The due date for payment of the Offer Shares is 24 June 2026 (the “Payment Date”). In order for payment to take place on the Payment Date, subscribers must ensure that there are sufficient funds on the bank account to be debited on 23 June 2026.

Advisors
DNB Carnegie, a part of DNB Bank ASA, is acting as manager for the Subsequent Offering (the “Manager”). Advokatfirmaet Schjødt AS is acting as legal counsel to the Company.  

For more information:
Berit-Cathrin Høyvik, Senior Director, Communications,Hexagon Composites
Telephone: +47 988 92 161 | berit-cathrin.hoyvik@hexagongroup.com

Eirik Løhre, CFO, Hexagon Composites
Telephone: +1 704 777 5171 (US Eastern time zone) | eirik.lohre@hexagongroup.com

About Hexagon Composites ASA 
Hexagon delivers safe and innovative solutions for a cleaner energy future. Our solutions enable storage, transportation, and conversion to clean energy in a wide range of mobility and industrial applications. Learn more at www.hexagongroup.com and follow @HexagonASA on LinkedIn.

IMPORTANT INFORMATION

This announcement does not constitute or form a part of any offer of securities for sale or a solicitation of an offer to purchase securities of the Company in the United States or any other jurisdiction. The securities of the Company may not be offered or sold in the United States absent registration or an exemption from registration under the U.S. Securities Act of 1933, as amended (the “U.S. Securities Act”). The securities of the Company have not been, and will not be, registered under the U.S. Securities Act, and may not be offered or sold in the United States absent registration under the US Securities Act or an available exemption from, or transaction not subject to, the registration requirements of the US Securities Act. There will be no public offering of securities in the United States. Any sale in the United States of the securities mentioned in this communication will be made solely to “qualified institutional buyers” as defined in Rule 144A under the U.S. Securities Act. No public offering of the securities will be made in the United States.

The Company has not authorized any offer to the public of securities in any Member State of the European Economic Area nor elsewhere. With respect to any Member State of the European Economic Area (each an “EEA Member State”), no action has been undertaken or will be undertaken to make an offer to the public of securities requiring publication of a prospectus in any EEA Member State. In any EEA Member State, this communication is only addressed to and is only directed at qualified investors in that Member State within the meaning of the EU Prospectus Regulation, i.e., only to investors who can receive the offer without an approved prospectus in such EEA Member State. The expression “EU Prospectus Regulation” means Regulation (EU) 2017/1129 of the European Parliament and of the Council of 14 June 2017 (together with any applicable implementing measures in any Member State).

In the United Kingdom, these materials are only being communicated to (a) persons who have professional experience, knowledge and expertise in matters relating to investments and qualifying as “investment professionals” for the purposes of article 19(5) of the Financial Services and Markets Act 2000 (Financial Promotion) Order 2005 (all such persons being referred to as “relevant persons”) and (b) only in circumstances falling within the circumstances set out in Part 1 of Schedule 1 to The Public Offers and Admissions to Trading Regulations 2024. These materials are directed only at relevant persons and must not be acted on or relied on by persons who are not relevant persons.

Matters discussed in this announcement may constitute forward-looking statements. Forward-looking statements are statements that are not historical facts and may be identified by words such as “anticipate”, “believe”, “continue”, “estimate”, “expect”, “intend”, “may”, “should”, “will” and similar expressions. The forward-looking statements in this release are based upon various assumptions, many of which are based, in turn, upon further assumptions. Although the Company believes that these assumptions were reasonable when made, these assumptions are inherently subject to significant known and unknown risks, uncertainties, contingencies and other important factors which are difficult or impossible to predict and are beyond its control. Such risks, uncertainties, contingencies and other important factors could cause actual events to differ materially from the expectations expressed or implied in this release by such forward-looking statements. The information, opinions and forward-looking statements contained in this announcement speak only as at its date and are subject to change without notice.

This announcement is made by and is the responsibility of, the Company. The Manager is acting exclusively for the Company and no one else and will not be responsible to anyone other than the Company for providing the protections afforded to their respective clients, or for advice in relation to the contents of this announcement or any of the matters referred to herein. Neither the Manager nor any of its affiliates make any representation as to the accuracy or completeness of this announcement and none of them accepts any responsibility for the contents of this announcement or any matters referred to herein.

This announcement is not a prospectus. This announcement is for information purposes only and is not to be relied upon in substitution for the exercise of independent judgment. It is not intended as investment advice and under no circumstances is it to be used or considered as an offer to sell, or a solicitation of an offer to buy any securities or a recommendation to buy or sell any securities of the Company. Neither the Manager nor any of its affiliates accepts any liability arising from the use of this announcement. Each of the Company, the Manager and their respective affiliates expressly disclaims any obligation or undertaking to update, review or revise any statement contained in this announcement whether as a result of new information, future developments or otherwise.

The distribution of this announcement and other information may be restricted by law in certain jurisdictions. Persons into whose possession this announcement or such other information should come are required to inform themselves about and to observe any such restrictions.

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/hexagon-composites-asa/r/hexagon-composites-asa–preliminary-results-of-subsequent-offering,c4365858

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Technology

Media Advisory – Minister Hodgson to make energy and mining announcements in Yellowknife

Published

9 minutes ago

on

June 19, 2026

By

YELLOWKNIFE, NT, June 19, 2026 /CNW/ – The Minister of Energy and Natural Resources, the Honourable Tim Hodgson, will make energy and mining announcements on the margins of the 2026 Energy and Mines Ministers’ Conference (EMMC) taking place in Yellowknife, Northwest Territories, June 24–26, 2026. Media availabilities will follow.

Electricity announcement

Date: Tuesday, June 23, 2026

Time: 3 p.m. MT

Mining announcement

Date: Friday, June 26, 2026

Time: 8 a.m. MT

All accredited media are asked to pre-register by emailing media@nrcan-rncan.gc.ca. Details on how to participate will be provided upon registration.

Follow Natural Resources Canada on LinkedIn.

SOURCE Natural Resources Canada

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