GPU × use-case guide · Translation

Is the H100 PCIe a good GPU for translation?

The H100 PCIe is a hopper NVIDIA GPU with 80 GB HBM3 (2000 GB/s), 756 TFLOPS BF16 / 1513 TFLOPS FP8, and a 350 W TDP. Translation workloads care most about high batch throughput and cost efficiency across many short-to-medium requests. Here's how the H100 PCIe measures up.

What models fit on a single H100 PCIe?

Weights only, reserving ~25% of the 80 GB for KV cache, activations and fragmentation. ✓ = fits on one card.

Largest single-card fit: Gemma 2 27B at BF16, Mixtral 8x7B (MoE) at FP8, Qwen 2.5 72B at INT4. Bigger models need tensor-parallel across 8 cards.

H100 PCIe for translation, specifically

Translation is throughput-bound rather than VRAM-bound, so the H100 PCIe's 2000 GB/s of bandwidth and 756 TFLOPS matter more than raw capacity. Because it runs offline, batch aggressively to push tokens-per-dollar down. Size it precisely on the calculator.

H100 PCIe pricing across providers

Verdict

With 80 GB, the H100 PCIe is a data-center-class card that comfortably handles translation for models up to Gemma 2 27B at full precision on a single card — a strong pick if your budget supports ~$2.29/hr.