Cast AI has announced a major new feature called OMNI Compute, a platform that makes it easier for businesses to access and manage GPUs across different cloud providers and regions. This new control plane automatically finds available resources and extends existing Kubernetes clusters without any need for code changes. Alongside this, Cast AI secured a
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All posts tagged in GPU Computing
Eleveight AI has made a major move in Armenia’s tech scene by installing NVIDIA’s latest B300 Blackwell GPUs at its AI-focused data center. This makes Armenia one of the first countries worldwide to deploy these advanced graphics processors. The new hardware aims to boost AI training, inference, and research efforts across various industries. Advancing Armenia’s
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The server industry experienced an extraordinary third quarter in 2025, reaching a new revenue high of $112.4 billion. This marks a remarkable 61% jump compared to the same period last year. The surge is driven by increased demand across various server types, especially as businesses ramp up their investments in artificial intelligence and large-scale data
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Last week at AWS re:Invent, Amazon announced a new offering called AWS AI Factories. The company highlighted how these factories aim to speed up AI development using powerful hardware like Trainium, Nvidia GPUs, and secure infrastructure. The idea is to make deploying AI easier, safer, and more sophisticated for large organizations. But as with many
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AI has become a regular part of business costs, much like rent or utilities. As companies plan for their AI budgets in 2026, they need to pay close attention to the costs of the hardware that powers AI — mainly GPUs. These powerful chips are the backbone of modern data centers that run AI models,
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Altair has released the latest version of its HyperWorks software, now called HyperWorks 2026. This update focuses on making engineering design and simulation faster and more confident, using cutting-edge AI, high-performance computing, and new simulation tools. It helps teams across industries innovate quickly and improve product performance with smarter tools. What’s New in HyperWorks 2026
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As AI adoption accelerates worldwide, a significant infrastructure challenge has emerged: the limited availability of high-performance computational resources. Cloud providers report extensive waitlists for premium GPU instances, highlighting the stark imbalance between demand and supply. Unlike the previous crypto-mining GPU surge, today’s crunch is driven by genuine needs in AI research and deployment, creating a
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AWS has announced the launch of Flexible Training Plans (FTPs) for inference endpoints in Amazon SageMaker AI. This new feature provides customers with guaranteed GPU capacity for their planned evaluations and production workloads, addressing the limitations of automatic auto-scaling in certain scenarios. Enhancing Reliability for Critical AI Workloads Typically, enterprises deploy SageMaker AI inference endpoints
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Researchers have hit a significant milestone with the development and training of ZAYA1, an advanced AI model powered by AMD GPUs. This achievement highlights how AMD hardware can be a strong choice for large-scale AI projects. It marks a step forward in making AI training faster and more scalable using AMD’s cutting-edge technology. Showcasing AMD’s
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Big changes are underway in the world of AI computing. Microsoft, NVIDIA, and Anthropic have teamed up to create a new alliance focused on pushing the limits of AI hardware and software. This partnership aims to build a more diverse and efficient ecosystem for training and deploying powerful AI models, moving away from reliance on
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