Milpitas, Calif. – March 4, 2025 – Penguin Solutions, Inc. (Penguin Solutions; Nasdaq: PENG) today announced the expansion of its ICE ClusterWare software platform, (formerly Scyld ClusterWare) with multi-tenancy support, streamlined workflows and enhanced controls to help enterprises build ptimized AI ecosystems that scale seamlessly—known as Intelligent Compute Environments, the company said. Additionally, Penguin Solutions unveiled its ICE ClusterWare […]

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Amsterdam, December 2, 2024 – Nebius Group N.V.; NASDAQ:NBIS), an AI infrastructure company, today announced s definitive agreements for a USD 700 million private placement financing from a group of institutional and accredited investors, including participation from Accel, NVIDIA, and certain accounts managed by Orbis Investments. The financing supports Nebius’ previously announced plans to further […]

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A good mid-spring morn to you! You’re invited to join Shahin and Doug on a jaunt (6:04) through recent HPC-AI developments, including: AI infra-tech’s booming costs and data center scarcity problems, a possibe AI bubble ....

The post HPC News Bytes 20240429: Exorbitant AI Infra-Tech, Advanced Chips in China, Neuromorphic HPC, an AI Bubble? appeared first on High-Performance Computing News Analysis | insideHPC.

In financial services, it is important to gain any competitive advantage. Your competition has access to most of the same data you do, as historical data is available to everyone in your industry. Your advantage comes with the ability to exploit that data better, faster, and more accurately than your competitors. With a rapidly fluctuating market, the ability to process data faster gives you the opportunity to respond quicker than ever before. This is where AI-first intelligence can give you the leg
up.

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In this sponsored post, our friends over at Silicon Mechanics discuss how solving mission-critical problems using AI in the aerospace and defense industry is becoming more of a reality. Every day, new technologies emerge that can simplify deployment, management, and scaling of AI infrastructure to ensure long-term ROI. There are several questions to ask yourself to ensure deploying AI workloads, and harnessing the full potential of data, in aerospace/defense is much more plausible and efficient.

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