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The 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…
Read More– 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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