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Datadog’s State of Cloud Costs 2024 Report Finds Spending on GPU Instances Growing 40% as Organizations Experiment with AI

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GPUs can be more than 200% faster than CPUs when parallel processing

NEW YORK, June 13, 2024 /PRNewswire/ — Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced its new report, the State of Cloud Costs 2024. The report found organizations that use graphics processing unit (GPU) instances have increased their average spending on those instances by 40% in the last year. This growth in spend on GPU instances comes as more companies are experimenting with AI and large language models (LLMs). GPUs’ capacity for parallel processing makes them critical for training LLMs and executing other AI workloads, where they can be more than 200% faster than CPUs.

“Today, the most widely used type of GPU-based instance is also the least expensive. This suggests that many customers are still in the experimentation phase with AI and applying the GPU instance to their early efforts in adaptive AI, machine learning inference and small-scale training,” said Yrieix Garnier, VP of Product at Datadog. “We expect that as organizations expand their AI activities and move them into production, they will be spending a larger proportion of their cloud compute budget as they use more expensive types of GPU-based instances.”

In addition to more companies spending compute on AI projects, the report found that containers were a common theme of wasted spend among organizations. In fact, 83% of container costs were associated with idle resources. About 54% of this wasted spend was on cluster idle, which is the cost of overprovisioning cluster infrastructure, while 29% was associated with workload idle, which comes from resource requests that are larger than their workloads require. This wasted spend comes as organizations allocate more of their EC2 compute to running containers, up to 35% compared to 30% a year ago.

Other key findings from the report include:

Outdated Technologies Are Widely Used: AWS’s current infrastructure offerings commonly both outperform their previous-generation versions and cost less, but 83% of organizations still spend an average of 17% of their EC2 budgets on previous-generation technologies.Fewer Organizations Are Taking Advantage of Discounts: Cloud service providers offer commitment-based discounts on many of their services—for example, AWS has discount programs for Amazon EC2, Amazon RDS, Amazon SageMaker and others—but only 67% of organizations are participating in these discounts, down from 72% last year.Green Technology Is on the Rise for Better Performance and Cost: On average, organizations that use Arm-based instances spend 18% of their EC2 compute budget on them—twice as much as they did a year ago. Instance types based on the Arm processor use up to 60% less energy than similar EC2s and often provide better performance at a lower cost.

For the report, Datadog analyzed AWS cloud cost data from hundreds of organizations and explored how their use of emerging and previous-generation technologies, patterns of cloud resource usage, and participation in AWS discount programs all contributed to their cloud costs.

Datadog’s State of Cloud Costs 2024 is available now. For the full results, please visit: https://www.datadoghq.com/state-of-cloud-costs/. To learn how Datadog helps companies optimize their cloud costs, visit: https://www.datadoghq.com/product/cloud-cost-management/.

About Datadog

Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

Forward-Looking Statements

This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on November 7, 2023, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Contact
Dan Haggerty
press@datadoghq.com

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SOURCE Datadog, Inc.

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Driving Certainty Through Uncertainty: eclicktech’s Engineering Approach to Agentic AI

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XI’AN, China, May 9, 2026 /PRNewswire/ — As generative AI moves from experimentation to enterprise deployment, the industry focus is shifting from model capability to operational reliability. The challenge is no longer simply building smarter AI, but ensuring AI systems can operate safely and consistently inside complex production environments.

eclicktech recently shared its internal engineering practices around Agentic AI, highlighting how the company is applying context engineering, multi-cloud infrastructure, and layered security frameworks to support enterprise-scale AI deployment.

To support global operations across more than 230 countries and regions, eclicktech built its Cycor platform around a multi-cloud architecture integrating AWS, Google Cloud, Alibaba Cloud, Tencent Cloud, Huawei Cloud, and other providers. According to the company, this approach improves infrastructure flexibility, reduces vendor lock-in risk, and enables more efficient orchestration of large-scale Kubernetes clusters and AI workloads.

eclicktech stated that one of the key lessons from early Agent development was that prompt engineering alone was insufficient for enterprise deployment. The company therefore shifted toward context engineering — an approach focused on delivering the right information, at the right time, while optimizing limited token resources.

Its engineering framework includes six layers of context management covering active sessions, short-term memory, long-term semantic storage, knowledge graphs, operational experience, and reusable organizational skills. The system also supports proactive context injection, allowing relevant operational history and risk information to be surfaced automatically before sensitive actions are executed.

To improve inference efficiency, eclicktech introduced layered token governance and progressive tool-loading mechanisms, dynamically loading tools and information only when required. The company said this approach helped improve tool selection accuracy and reduce unnecessary token consumption during complex operational workflows.

Security remains a core requirement throughout the architecture. eclicktech’s governance framework includes namespace isolation, dry-run verification, human approval workflows, rule-based validation, and rollback mechanisms designed to reduce operational risks associated with AI-driven automation.

According to eclicktech, the next stage of enterprise AI competition will depend not only on model capability, but also on engineering reliability, infrastructure orchestration, context management, and organizational knowledge systems.

Note: Certain technical information referenced in this article is derived from eclicktech’s internal engineering practices and is provided for industry reference purposes only.

View original content:https://www.prnewswire.com/apac/news-releases/driving-certainty-through-uncertainty-eclicktechs-engineering-approach-to-agentic-ai-302767441.html

SOURCE eclicktech

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How a Unified Monetization Solution Is Driving eCPM and Revenue Growth for Casual Games Worldwide

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SINGAPORE, May 8, 2026 /PRNewswire/ — Casual, hyper-casual, and hybrid-casual games have become dominant categories in the global mobile market, making in-app advertising (IAA) a key driver of monetization success. However, many developers continue to face major challenges, including unstable fill rates, fluctuating eCPMs, difficulties balancing multiple regional markets, and the ongoing tradeoff between user experience and revenue growth.

To address these issues, zMaticoo has compiled a series of monetization case studies from leading game publishers and studios across China, Vietnam, Europe, and North America. These teams span hyper-casual, puzzle, board, card, and light-casual game categories, with DAUs ranging from millions to tens of millions. By adopting the same monetization framework, they achieved simultaneous growth in fill rate, eCPM, and ad revenue while maintaining stable user experience.

A common challenge among these teams was the shrinking monetization margin across global markets, creating an urgent need for sustainable revenue growth. At the same time, developers were cautious about over-monetization negatively impacting retention and player engagement.

To solve these challenges, zMaticoo introduced an AI-driven monetization system with full-funnel optimization capabilities. The platform connects developers directly to premium global advertiser budgets across both performance and brand advertising. AI models identify high-value traffic in real time based on region, audience, and usage scenarios, prioritizing high-eCPM demand sources. Separate bidding strategies are applied for mature and emerging markets to avoid revenue loss caused by one-size-fits-all pricing models.

The platform also provides refined ad format optimization:

Banner Ads: optimized display share and loading timing to improve SOV and stabilize eCPM;Interstitial Ads: precisely triggered during high-value moments such as level completion or pause screens, with especially strong premiums in emerging markets;Rewarded Video: deeply integrated into gameplay loops, delivering high user acceptance and conversion performance.

On the technical side, zMaticoo optimized SDK infrastructure to improve fill stability under weak network conditions. Ad loading time was reduced from five seconds to under two seconds through a rebuilt loading architecture. Progressive asset loading further minimized timeout-related drop-offs. AI-powered ad templates dynamically generated personalized creatives, improving both CTR and conversion performance.

The zMaticoo team also provides one-stop operational and analytics support. Developers can monitor fill rate, impressions, eCPM, and revenue through a unified dashboard, while dedicated optimization specialists provide 7×12 support for A/B testing, strategy iteration, and scaling guidance. The platform is deeply integrated with major mediation solutions, enabling one-time integration and multi-scenario deployment while reducing development and maintenance costs.

According to zMaticoo platform data:

In mature markets including the United States, Germany, Japan, and South Korea, banner eCPMs increased by 5%–10%, while interstitial premiums improved by over 5%;In emerging markets such as Brazil, Mexico, and Southeast Asia, interstitial eCPMs increased by more than 10%.

The monetization framework has demonstrated effectiveness across hyper-casual, puzzle, board/card, and utility app categories, supporting both rapid scale-up and long-term monetization stability.

Partner feedback includes:

“We are highly satisfied with the revenue uplift after integration. Our core products’ banner performance now ranks among the top tier.””Revenue recovered significantly after A/B testing, and we are expanding testing across more products.””One solution now supports multiple global markets without requiring separate monetization strategies for each region.””Interstitial monetization performance has been especially strong, with SOV reaching 10%–20% for several partners.”

zMaticoo believes successful monetization today is not about stacking more ad platforms, but about leveraging AI, technology, and refined operations to unlock long-term traffic value. Whether for hyper-casual publishers, puzzle game studios, or global mobile app companies, this AI-powered monetization framework is designed to deliver sustainable revenue growth while preserving user experience.

View original content:https://www.prnewswire.com/news-releases/how-a-unified-monetization-solution-is-driving-ecpm-and-revenue-growth-for-casual-games-worldwide-302767432.html

SOURCE zMaticoo

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Fox ESS Celebrates Strong Momentum with Integrated Solar Storage & Charging Solutions at Smart Energy 2026

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SYDNEY, May 9, 2026 /PRNewswire/ — Fox ESS, a global leader in renewable energy solutions, attended Smart Energy 2026 during 6-7 May as a platinum sponsor. At the event, Fox ESS showcased its next-generation approach to solar storage and EV charging solution, delivering a seamless, future-ready energy experience for homeowners and installers across Australia.

Integrated Solutions Tailored for Aussie Homes

At Smart Energy 2026, Fox ESS highlighted its storage-to-charging solution, designed to make everyday energy use more convenient for local residents. With performance-led products and proven market traction, Fox ESS is set to play its part in building a more resilient energy future for Australia.

Battery Systems

Fox ESS continues to build momentum in the battery market. Sunwiz, an Australian solar consultancy, recently reported that Fox ESS ranked No.1 in March for installation capacity. And the company also revealed it has installed more than 25,000 systems in April. During the exhibition, Sunwiz presented Fox ESS with an award, recognising the company as Top Solar Company for Fastest Growing Battery.

CQ7 V6+ High Voltage Battery (42kWh and above)
Building on Fox ESS’ proven strengths, compact design and high capacity, CQ7 V6+ is well suited to medium-sized households and ensure the free use of electricity and maximize the self-consumption.EQ4800 High Voltage Battery (28kWh)
A reliable choice for smaller households, designed for efficient day-to-day energy storage.

Alongside its battery range, Fox ESS showcased all-in-one systems, including Stackable AIO and EVO, designed to simplify installation while maintaining a high standard of design and presentation.

Inverters

Fox ESS offers a range of inverters to suit local requirements, supported by up to 200% PV oversizing and a 10-year product warranty.

Single-phase: H1‑G2 (3–6kW); KH series (7–10.5kW)Three-phase: H3 Smart (5–15kW); H3 Pro (15–29.9kW); H3 Plus (50–125kW)

EV Chargers

With EV adoption accelerating, Fox ESS also offers EV charging solutions with solar linkage, designed to work across its inverter portfolio. The chargers provide robust, smart energy management, including dynamic load balancing to help protect home circuits.

A Series (7.3kW / 11kW / 22kW): IP65 and IK08 protection, OCPP-compliant.L Series (7.3kW / 11kW): straightforward installation with multiple colour options.

Big Battery Still Takes Centre Stage

As the Cheaper Home Battery Program moves into a new phase under an updated rebate policy, interest in larger battery systems continues to grow, particularly as more households consider EV upgrades amid rising fuel costs. More EVs typically mean households need greater energy availability, making higher-capacity storage an increasingly attractive option.

Looking ahead, from 1 July 2026, the Australian Government’s Solar Sharer Offer (SSO) will provide eligible households with three hours of free daily electricity to align with peak solar generation. Households with larger batteries will be well placed to make the most of this opportunity.

Fox ESS is also working with local VPP partners, including Amber Electric and Origin Loop VPP, helping homeowners unlock maximum value while supporting greater grid stability.

Maimai Comes Alive at the Exhibition

Visitors to the Fox ESS stand experienced a full programme of brand activations across the event. Following the online announcement, Sydney served as Maimai’s first physical stop, bringing the community together for face-to-face engagement. Attendees queued to take photos with the brand’s friendly and recognisable mascot.

Long-Term Commitment to Australia

Fox ESS has opened two local offices in Melbourne and Sydney, with more than 30 dedicated specialists supporting local customer needs. The company is also looking to play a wider role in Australia’s energy transition.

Notably, Ian Thorpe made his first in-person appearance at Fox Night, where he presented partners with awards. At the event party, Fox ESS also hosted a battery installation challenge, featuring eight rounds of competition, with the final winners receiving a range of prizes.

“We’re delighted to see such a strong result following the rollout of local policy. With nearly 400,000 Australian households now installing batteries, Fox ESS has played a key role, but this is only the beginning. We’re committed to keeping momentum and helping make a smarter, more reliable energy future a reality for more homes.” said Brooks Richard Geng, APAC & Middle East Managing Director, Fox ESS.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/fox-ess-celebrates-strong-momentum-with-integrated-solar-storage–charging-solutions-at-smart-energy-2026-302767429.html

SOURCE Fox ESS

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