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The First Mass-Produced 600+ Ah Large Battery Cell

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JINGMEN, China, Dec. 12, 2024 /PRNewswire/ — In the energy storage industry, both systems and battery cells are expanding at an astonishing pace.

While the global market is rapidly adopting the 300Ah+ battery cells primarily based on 314Ah, research and mass production of the next-generation 500Ah+ large-capacity battery cells are already in full swing.

As many companies rush to enter the market for 500Ah+ large-capacity battery cells, EVE Energy has become the first in the industry to achieve mass production of the 628Ah large battery cell.

On December 10th, EVE Energy’s first phase of the 60GWh Super Energy Storage Factory, Mr. Big, officially commenced operations in Jingmen, Hubei.

By the end of the third quarter of 2024, EVE Energy’s global energy storage battery cell shipment volume has firmly secured the top 2 position. As the single largest energy storage factory and the first to mass-produce the 600Ah+ large battery cell, these two milestones undoubtedly showcase the ambition and strategic positioning of this leading lithium battery enterprise in the energy storage sector.

【01 First Disclosure of Intelligent Battery Cell Technology】
Addressing the Pain Points of Large Capacity Battery Cells

Large capacity battery cells have undoubtedly emerged as a significant trend in the energy storage field over the past two years.

In fact, as early as 2022, when the market was still promoting 280Ah battery cells, EVE Energy, leveraging its keen market insight and foresight, proposed the trend of large capacity battery cell development and launched the 560Ah battery cell.

Now, after more than a year of development, EVE Energy has upgraded the cell capacity to 628Ah, transforming bold innovation into practical reality and delivering a heavy blow to competitors in the industry.

The advantages of increasing cell capacity are clear: it can reduce the cost and integration complexity of energy storage systems, improve energy density and safety, and reduce the use of components in the PACK stage, thus simplifying the assembly process and further lowering costs.

However, challenges remain, particularly concerning thermal management and overall efficiency for large capacity battery cells.

To tackle these issues, EVE Energy partnered with Professor Yang Hanxi from Wuhan University, a top global university, to create an electrochemical collection model based on electrochemical principles. Inspired by the “low drag” design found in automotive engineering, the company continuously optimizes the thickness of the collection medium, the positioning of the tabs, and the shapes and sizes of the terminals, paving a high-speed road for electrons.

This invention significantly reduces the internal resistance of the battery cell, thereby lowering the risk of heat generation.

In terms of safety and reliability, EVE Energy unveiled its intelligent battery cell technology for the first time during this launch ceremony.

This technology employs intelligent high-precision source perception to capture key signals throughout the entire lifecycle of the battery cell in real-time. Similar to how smartwatches monitor blood oxygen and heart rate, this technology can monitor gases, temperatures, and other critical information in real time, effectively identifying parameters from different characteristics based on a powerful database matching mechanism and performing advanced processing and analysis on the signals.

Once an anomaly is detected, timely warnings and defensive measures are taken. The intelligent battery cell technology acts as a guardian of safety and will open a new track for battery safety in the energy storage industry.

【02 1.5 Cells Per Second】
The 60GWh Super Energy Storage Factory Facilitates Mass Production

To support the mass production of Mr. Big’s large battery cells, EVE Energy’s 60GWh Super Energy Storage Factory officially commenced operations on December 10th. EVE Energy has established a virtual factory leveraging digital twin technology, creating a super intelligent factory that integrates automation, digitization, and low-carbon processes.

In the face of mass production, the size of large batteries poses challenges to production lines and manufacturing processes, comparable to the difficulties faced during the development phase.

The 60GWh Super Energy Storage Factory at EVE Energy employs over 80 advanced industry technologies, featuring automated production across the entire process. The company holds 140 intellectual property rights related to core equipment and products. It can be said that this production line and factory are tailor-made for Mr. Big.

One set of figures illustrates the efficiency of EVE Energy’s Super Energy Storage Factory: the production line can achieve an average output of 1.5 battery cells per second from material feeding to finished batteries; it completes four entire battery packs in one minute; produces over 40 containers of 5MWh daily; and can deliver 1GWh output in just five days.

For a more intuitive concept: 1GWh of batteries, calculated at a charge and discharge cycle of 300 times a year, can satisfy the annual electricity demand of 300,000 households.

Furthermore, taking advantage of Jingmen’s unique industrial environment and geographical location, the integration of upstream and downstream supply chains around the super factory has emerged, enabling wall-to-wall supply, significantly reducing logistics and warehousing costs, improving collaboration efficiency, and forming advantages in industrial agglomeration development, thus ensuring delivery capabilities.

In terms of quality management, the product defect rate has reached the PPB (Parts Per Billion) level. By constructing an extreme manufacturing standard system and defining ten core indicators for globally leading battery cell manufacturing, EVE Energy adheres to an extremely rigorous management philosophy focused on eliminating dust. The factory management spans from macro-level cleanliness to micro-level 0.5μm dust CLASS 5 control, ensuring quality through competency. Simultaneously, an image database of various control points has been established, along with the introduction of equipment health models, BP neural networks, knowledge graphs, and AI autonomous tuning to achieve digital closed-loop quality management. Each product is also equipped with a “data package” and a “battery passport” for one-click full lifecycle traceability.

Additionally, this factory is currently the largest single energy storage factory in the industry, with a single line capacity exceeding 15GWh (while the highest capacity for current Japanese and Korean battery companies is only 3-4GWh).

With the commissioning of the energy storage super factory and the mass production of Mr. Big, EVE Energy’s global capacity construction process has been accelerated, ensuring sufficient capacity supply to meet customer and market demands.

As the first company in the industry to achieve mass production of 600Ah+ large capacity battery cells, EVE Energy’s forward-looking layout has begun to see practical applications. In this challenging and opportunity-filled arena of energy storage, we look forward to EVE Energy contributing significantly to the global energy transition and sustainable development.

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SOURCE EVE Energy

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/C O R R E C T I O N — Applied Intuition, Inc./

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In the news release, Applied Intuition Collaborates with Heidelberg Materials to Advance Innovation in Quarry Operations with Autonomous Haulage Fleets, issued 30-Apr-2026 by Applied Intuition, Inc. over PR Newswire, we are advised by the company that changes have been made. The complete, corrected release follows, with additional details at the end:

Applied Intuition Collaborates with Heidelberg Materials to Advance Innovation in Quarry Operations with Autonomous Haulage Fleets

Deployment brings intelligent, vehicle-based autonomy to Australia, establishing a new operating model for construction and mining environments.

SUNNYVALE, Calif., April 30, 2026 /CNW/ — Applied Intuition, Inc., a leader in physical AI, today announced its collaboration with Heidelberg Materials, one of the world’s largest integrated manufacturers of building materials and solutions, to deploy autonomous haulage systems for Heidelberg Materials’ quarry operations, starting at a site in Australia.

Applied Intuition will provide its Self-Driving System (SDS) for Construction to support autonomous haulage operations within Heidelberg Materials’ fleet of construction and mining vehicles in Australia. The deployment marks the next real-world application of Applied Intuition’s autonomy platform in industrial environments. Upon successful completion, it will support the expansion of autonomous operations within Heidelberg Materials’ broader Australian network.

The collaboration also challenges the standard industry model. While autonomy solutions traditionally target the largest quarry sites, this system is designed for smaller operations, including those running just two 40-ton trucks, making it deployable across quarry sites of varying size worldwide.

“No two quarry or construction sites operate the same way, with different layouts, constraints and economics,” said Qasar Younis, co-founder and CEO of Applied Intuition. “We’ve built our platform to adapt to that reality. This partnership shows we can take the same core system used in large mining operations and apply it to smaller, infrastructure-constrained quarry sites, scaling it across hundreds of unique locations.”

For Heidelberg Materials, the partnership is aimed at enhancing safety and operational performance. It also reflects the need for an autonomy solution that can operate at large sites and smaller ones too, whereas traditional autonomous haulage systems are often too infrastructure-heavy or costly to scale. For Applied Intuition, it serves as a proof point that its autonomy platform is designed not just for one-off deployments, but for global scale across construction, quarry and mining environments of any size.

Applied Intuition’s system runs directly on the vehicle, with integrated perception, decision-making and safety systems onboard, enabling reliable operation without constant connectivity or heavy site infrastructure.

The collaboration builds on Applied Intuition’s growing presence in construction and mining autonomy and reinforces its broader physical AI strategy. The same core platform has already been deployed in other industries, including trucking and defense, with learnings from each domain contributing to continuous system improvements. Applied Intuition’s SDS platform strategy also enables the company to bring technologies proven in other domains into construction and mining, helping accelerate development and deployment.

Through this project, Applied Intuition demonstrates the range of its autonomy platform, from some of the largest mining trucks in the world to smaller quarry vehicles operating in constrained, lower-infrastructure environments. Together, these deployments highlight the company’s approach to building scalable autonomy for construction and mining from the ground up.

To learn more about how Applied Intuition is building the future of construction autonomy, visit applied.co.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Gothenburg, Sweden; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

Correction: An earlier version of this release incorrectly stated the location of the site noted in the first paragraph.

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SOURCE Applied Intuition, Inc.

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MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency

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Reduces HBM Costs with GPU–Tenstorrent Heterogeneous Distributed Serving
First unveiled at Tenstorrent’s launch event, TT-Deploy, in San Francisco on May 1

SANTA CLARA, Calif., May 1, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, announced that it has successfully validated LLM inference performance on the Tenstorrent Galaxy Wormhole system using its proprietary ‘MoAI Inference Framework.’

Based on tests across leading Mixture-of-Experts (MoE) models—including GPT-OSS, Qwen, GLM, and DeepSeek—Moreh achieved LLM inference performance on Tenstorrent Galaxy Wormhole matching or surpassing NVIDIA DGX A100-class systems, demonstrating a compelling alternative to conventional GPU-centric AI infrastructure.

Moreh also improved cost efficiency by implementing a disaggregated serving architecture that combines GPUs with Tenstorrent Wormhole chips. By utilizing Tenstorrent processors as dedicated prefill accelerators, the company reduced reliance on high-cost HBM and lowered overall infrastructure costs.

The results were first unveiled at Tenstorrent’s launch event, TT-Deploy, held on May 1 in San Francisco.

As a strategic partner of Tenstorrent and a major external contributor to Metalium, Moreh showcased a live LLM inference demo at the event. Building on its experience operating AMD GPU-based production environments in real-world data centers, the company presented its latest technical achievements in ‘Production-Ready LLM Inference on Tenstorrent Galaxy.’

MoAI Inference Framework is a disaggregated inference solution that enables unified operation of heterogeneous GPUs and NPUs—including NVIDIA, AMD, and Tenstorrent—within a single cluster. This allows enterprises to build flexible AI infrastructure strategies without vendor lock-in.

Moreh CEO Gangwon Jo stated, “Achieving production-grade LLM inference performance and stability on Tenstorrent-based systems marks a significant milestone,” and added, “We will continue to enhance performance through deeper optimization across heterogeneous architectures and closer integration with Tenstorrent NPUs.”

Moreh is developing its own core AI infrastructure engine and, through its foundation LLM subsidiary Motif Technologies, is building end-to-end capabilities spanning both infrastructure and model domains. Simultaneously, the company is making its mark in the global market through collaborations with key partners such as AMD, Tenstorrent, and SGLang.

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SOURCE Moreh

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US Startup PerZeption Inc. Announces Collaboration with Alcon Research

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BOSTON, MA, May. 1, 2026 /PRNewswire/ — Advancements in vision correction evaluation require methods that offer both precision and efficiency in detecting clinically meaningful visual differences. Addressing this need, PerZeption is set to present new data validating its AIM+ CSF modeling technology at the Association of Research in Vision and Ophthalmology (ARVO) annual meeting.

Attendees are invited to learn more about this innovative approach during the poster session on May 4, 2026, from 11:15 AM to 1:00 PM, at posterboard #0941.

“We are very excited to collaborate with Alcon, one of the largest companies within the Ophthalmology sector worldwide. “, Dr. Jan Skerswetat said. “The results, presented by Dr Derek Nankivil, indicate that our technology enables rapid, repeatable, and highly sensitive assessment of contrast vision.”

The abstract, titled ‘AIM+ CSF modeling enables efficient detection of clinically meaningful visual differences,’ outlines how PerZeption’s technology supports sensitive, low-burden visual assessment for vision correction evaluation. Data indicates that with approximately six adaptive displays of stimuli and two repeats, studies show around 20 subjects can achieve 90% power to detect a 1 JND (Just Noticeable Difference) change in AULCSF (Area Under the Log Contrast Sensitivity Function). This research also demonstrates AIM+ CSF’s stable repeatability in less than 3 minutes, absence of bias, and robust performance, validating its role as an effective tool for objective visual performance evaluation.

This joint effort highlights a shared dedication to advancing ophthalmology research and developing precise tools for visual assessment. The ARVO annual meeting serves as the world’s foremost event for ophthalmology research, offering a vital platform for sharing scientific breakthroughs and fostering dialogue within the global vision science community.

“In addition to all the exciting research presentations that leverage PerZeption technology at this years’ ARVO meeting, we are also proud to be showcasing PerZeption’s battery of functional tests at our booth, #4027.” Dr. Skerswetat added and noted that there will be opportunities to try out our technology.

This presentation at ARVO represents a significant step in the validation and recognition of PerZeption’s contributions to advanced visual assessment technologies.

About PerZeption Inc
PerZeption delivers vision testing with a rapid, self-administered, and adaptive psychophysical platform delivered via cloud-based software on standard tablets or all-in-one computers. Our flagship platform, Angular Indication Measurement (AIM), enables testing of over 20 visual functions. Our novel approach equips researchers and clinicians with a comprehensive range of visual functions and introduces new tests for which there are no currently available devices. We reduce chairtime. Self-administered tests on a single device in combination with proprietary methods that rapidly assess vision, reduce user’s burden and require minimal training or space, unlike bulky, specialized single-use devices. Finally, cloud-based delivery supports secure in-clinic and remote testing, ensuring consistent, trackable results for clinicians and pharmaceutical companies. 

View original content:https://www.prnewswire.com/news-releases/us-startup-perzeption-inc-announces-collaboration-with-alcon-research-302760563.html

SOURCE PerZeption

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