Search results for Rubin Ultra
AI & Enterprise
Amazon to buy an additional 2 million Nvidia GPUs for AWS data centers
Amazon will add 2 million Nvidia GPUs to Amazon Web Services data centers as it accelerates infrastructure expansion to meet surging AI computing demand. Amazon and Nvidia plan to deploy Blackwell Ultra, Rubin and Rubin Ultra GPUs across AWS infrastructure in 2027 and 2028. The deal also includes networking gear, open models, CPUs, data software and robotics platforms. Financial terms were not disclosed, though some expect tens of billions of dollars.
Industry
Post-HBM paths diverge as Samsung stacks and SK hynix connects
Samsung Electronics and SK hynix are pursuing different approaches for the next step after high-bandwidth memory, as rising AI workloads make it hard to expand bandwidth and capacity with HBM alone. Samsung is focusing on 3D vertical stacking that places HBM on top of accelerators to reduce data-movement bottlenecks. SK hynix is standardising high-bandwidth flash with SanDisk, linking different memory tiers via UCIe to raise system capacity and efficiency.
AI & Enterprise
Big Tech steps up coding AI push, arms with China AI performance
Big Tech companies are accelerating an offensive in the coding AI tools market, raising questions about shifts in a field led by Anthropic, OpenAI and Cursor. Meta unveiled its first AI coding agent, Muse Code, in beta. Google is in talks on a deal worth about $1.5 billion involving AI coding startup Mechanize. AWS launched Kiro Crew, an autonomous workspace. Chinese firms also quickened moves to build large-scale AI models.
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AI & Enterprise
Nvidia considers cutting memory on Rubin Ultra GPU amid HBM shortage
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AI & Enterprise
Nvidia\'s Kyber launch delayed by more than a year to 2028
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Industry
Data centre power architecture shifts as BBU batteries emerge as new battleground
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Industry
Samsung Electronics\' turnkey strategy aims to reverse market share in HBM4
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Industry
AI-driven component stocks stay firm despite memory swings
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Industry
GPU standalone era may end as integrated design determines AI chip performance