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NVIDIA and AWS announced an expansion of their collaboration at AWS re:Invent, introducing NVIDIA NVLink Fusion for enhanced AI infrastructure. This integration will support new custom silicon, improve performance, and simplify deployment for advanced AI services. Additionally, they are launching AWS AI Factories for secure, sovereign AI solutions worldwide.
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At AWS re:Invent, NVIDIA and Amazon Web Services (AWS) announced significant advancements in their partnership, focusing on the integration of NVIDIA NVLink Fusion into AWS's infrastructure. This integration will support NVIDIA's custom-designed silicon, including Trainium4 chips for AI model training and Graviton CPUs for various workloads. The collaboration aims to enhance performance and speed up the deployment of cloud-scale AI capabilities. AWS's use of NVIDIA's NVLink scale-up interconnect and MGX rack architecture is expected to simplify deployment and systems management.
NVIDIA's Blackwell architecture, featuring GPUs like the HGX B300 and GB300 NVL72, expands AWS's accelerated computing offerings. This move positions AWS to launch AI Factories, which will provide dedicated AI infrastructure to customers while ensuring data sovereignty and compliance with local regulations. For federal organizations, the integration of NVIDIA Blackwell GPUs with AWS's cloud services aims to transform supercomputing capabilities.
On the software front, NVIDIA's Nemotron open models are now integrated with Amazon Bedrock, facilitating the creation of generative AI applications. This integration allows developers to access specialized AI tools with minimal infrastructure management. Additionally, Amazon OpenSearch Service will utilize NVIDIAβs cuVS for serverless GPU acceleration, enhancing performance for unstructured data processing. This collaboration reflects a broader commitment to improving developer experiences and accelerating AI deployment across industries.
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