Advanced AI models such as DeepSeek-R1 are proving that enterprises can now build cutting-edge AI models specialized with their own data and expertise. These models can be tailored to unique use cases, tackling diverse challenges like never before. Based on the success of early AI adopters, many organizations are shifting their focus to full-scale production AI factories. Yet the process of…
]]>What is the interest in trillion-parameter models? We know many of the use cases today and interest is growing due to the promise of an increased capacity for: The benefits are great, but training and deploying large models can be computationally expensive and resource-intensive. Computationally efficient, cost-effective, and energy-efficient systems, architected to deliver real-time…
]]>At AWS re:Invent 2023, AWS and NVIDIA announced that AWS will be the first cloud provider to offer NVIDIA GH200 Grace Hopper Superchips interconnected with NVIDIA NVLink technology through NVIDIA DGX Cloud and running on Amazon Elastic Compute Cloud (Amazon EC2). This is a game-changing technology for cloud computing. The NVIDIA GH200 NVL32, a rack-scale solution within NVIDIA DGX Cloud or an…
]]>At COMPUTEX 2023, NVIDIA announced the NVIDIA DGX GH200, which marks another breakthrough in GPU-accelerated computing to power the most demanding giant AI workloads. In addition to describing critical aspects of the NVIDIA DGX GH200 architecture, this post discusses how NVIDIA Base Command enables rapid deployment, accelerates the onboarding of users, and simplifies system management.
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