14,592 cuda cores and 456 tensor cores provide unprecedented speed for ai training and inference. Compare nvidia h200 cloud rental prices starting at $2.4/hour. Building on the h100’s foundation, it introduces 141gb of hbm3e memory and 4.8 tb/s.
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See which gpu offers the best performance per dollar for llm training, inference. The b200 significantly speeds up training (up to 3 times that of the. It features 16896 shading units, 528 texture mapping units, and 24 rops.
Also included are 528 tensor cores which help improve the speed of machine learning applications.
Complete 2025 nvidia gpu comparison: B300 ultra (270gb, 14 pflops fp4), b200, h200, h100, a100. The h200 gpu features 76% more memory (vram) than the h100 and a 43% higher memory bandwidth. The nvidia h200 is revolutionizing enterprise ai and hpc with its 141 gb hbm3e memory and 4.8 tb/s bandwidth, doubling large language model inference performance over the h100.
Compare gpu specifications and cloud instances to find the best gpu for your workload. Optimized power consumption designed to reduce. With up to four gpus connected by nvidia nvlink™ and a 1.5x memory increase, large language model (llm) inference can be accelerated up to 1.7x, and hpc applications achieve. Complete guide to the nvidia h200 gpu:
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