The worldwide adoption of generative AI has driven massive demand for accelerated compute hardware globally. In enterprises, this has accelerated the deployment of accelerated private cloud infrastructure. At the regional level, this demand for compute infrastructure has given rise to a new category of cloud providers who offer accelerated compute (GPU) capacity for AI workloads, also known as GPU…
]]>Developers have shown a lot of excitement for NVIDIA NIM microservices, a set of easy-to-use cloud-native microservices that shortens the time-to-market and simplifies the deployment of generative AI models anywhere, across cloud, data centers, cloud, and GPU-accelerated workstations. To meet the demands of diverse use cases, NVIDIA is bringing to market a variety of different AI models…
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