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Nvidia Releasing Open-Source Optimized Tensor RT-LLM Runtime with Commercial Foundational AI Models to Follow Later This Year
September 14, 2023
Nvidia's large-language models will become generally available later this year, the company confirmed. Organizations widely rely on Nvidia's graphics process Read more…
Nvidia Shares Grace Superchip Benchmarks
September 6, 2023
Every vendor releases benchmarks when introducing a new processor. There are lots of application-based benchmarks available for HPC, and to be sure, vendors wil Read more…
NeMo LLM Service: Nvidia’s First Cloud Service Makes AI Less Vague
September 20, 2022
Nvidia is trying to uncomplicate AI with a cloud service that makes AI and its many forms of computing less vague and more conversational. The NeMo LLM service, which Nvidia called its first cloud service, adds a layer of intelligence and interactivity... Read more…
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Whitepaper
QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
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