Q: Why does OpenMetal offer the NVIDIA H200 instead of the H100?
OpenMetal carries the H200 rather than the H100 because the H200 is the H100’s direct successor: 50% more GPU memory (141GB vs 94GB) and about 40% more bandwidth on the same Hopper compute.
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The H200 is the supported, current-generation Hopper card. Choosing it over the discontinued H100 means more memory per card, higher memory bandwidth for memory-bound inference, and single-card fit for 70B-class models that would otherwise need two H100s. For most buyers, that is strictly better hardware at the same compute tier.
It also simplifies the lineup. OpenMetal’s GPU range is the H200 for the largest-memory, bandwidth-bound work and the Blackwell RP6000 for cost-efficient training, fine-tuning, and high-throughput inference, which together cover the H100’s use cases with newer silicon. NVIDIA AI Enterprise (NVAIE) is available for teams that want NVIDIA’s supported software stack; contact OpenMetal for current options.
Both ship as single-tenant bare metal with fixed monthly pricing and included egress. If a workload was sized for an H100, the H200 is the drop-in successor, and the RP6000 is the lower-cost alternative where HBM bandwidth is not required.
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