Why the H20 141GB is the inference GPU of choice for large models

March 26, 2026 · ApeTops Research

As daily token consumption crosses 140 trillion and LLM inference demand compounds, the H20 141GB has become the go-to GPU for enterprise-scale model deployment. Each card carries 141 GB of HBM3e with 4.8 TB/s of memory bandwidth and 900 GB/s of NVLink interconnect.

Production fit

  • Single card serves a 70B model at production latency.
  • An 8-card node deploys DeepSeek 671B at full precision.
  • Runs GLM-5 744B quantized with room to spare.

Compared to H100 or H200, H20 is positioned as an inference-and-fine-tune workhorse — not the fastest for pre-training, but the best dollar-per-token-served on the market. For SMEs and AI-native startups, the elastic lease model turns capex into opex and radically lowers the cost of entering the LLM game.