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1. Summary NVIDIA’s continuous innovation across its GPU architectures, spanning from Volta to the latest Blackwell, has been foundational in propelling advancements in artificial intelligence. These architectures provide the computational backbone for a wide spectrum of AI workloads, from traditional deep learning to the most complex large-scale generative AI models. Each successive generation introduces specialized…
Read MoreThe rise of AI-driven innovation has made GPUs indispensable for startups and small businesses. However, managing GPU resources efficiently remains a challenge, especially with limited budgets, fluctuating workloads, and the need for cutting-edge hardware for R&D and deployment. Understanding the GPU Challenge for Startups AI workloads—especially large-scale training and inference—demand cutting-edge GPUs like NVIDIA A100…
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– Upgrading H100 to H200 Semiconductor giant Nvidia introduced its latest artificial intelligence chip, the H200, designed to support training and deployment across various AI models. An upgraded version of the H100 chip, the H200 boasts 141GB of memory, focusing on enhancing “inference” tasks. The chip demonstrates a notable improvement of 1.4 to 1.9 times…
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