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NVIDIA H200 SXM vs Huawei Ascend 910C: Spec Comparison & Buyer's Guide

In AI infrastructure selection, NVIDIA H200 SXM and Huawei Ascend 910C are two accelerators frequently compared. This article contrasts them item by item — architecture, compute, memory, power, and release cadence — to help you quickly judge which fits training or inference workloads.

Spec Comparison Table​

VendorNVIDIA H200 SXMHuawei Ascend 910C
VendorNVIDIAHuawei
ArchitectureHopper GH100Da Vinci
ProcessTSMC 4N7nm -class
Release Date2024 112024-04-24
FP8 Compute3,958 TFLOPS—
FP16 Compute——
FP32 Compute——
INT8 Compute——
Memory Type——
Memory Capacity141 GB HBM3e8× HBM3
Memory Bandwidth4.8 TB/s—
TDP Power700 W310 W

Key Differences​

  • Power: Huawei Ascend 910C has a TDP of 310 W, lower than NVIDIA H200 SXM's 700 W, friendlier to datacenter PUE and cooling.
  • Memory capacity: NVIDIA H200 SXM packs 141 GB HBM3e, more than Huawei Ascend 910C's 8× HBM3, more comfortable for single-card hosting of very large models.

Selection Advice​

  • When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA H200 SXM; if budget, power wall, or local support are hard constraints, Huawei Ascend 910C often fits better. Use this site's AI Compute Card Comparison Tool to validate multiple chips side-by-side before deciding.

FAQ​

What are the main differences between NVIDIA H200 SXM and Huawei Ascend 910C?​

The core difference is architecture and compute density: NVIDIA H200 SXM uses Hopper GH100, FP8 ~3,958 TFLOPS, memory 141 GB HBM3e; Huawei Ascend 910C uses Da Vinci, FP8 ~No public FP8 data, memory 8× HBM3. See the comparison table above.

What is the TDP (power) of NVIDIA H200 SXM?​

NVIDIA H200 SXM has a TDP of 700 W; actual whole-system power also includes board, fans, and PUE.

Which is better for large-model training / inference?​

Training values memory capacity, bandwidth, and multi-card interconnect; inference values single-card throughput and power efficiency. Combine the "Key Differences" and "Selection Advice" above with your batch size, model size, and SLA.

How much do NVIDIA H200 SXM and Huawei Ascend 910C differ in memory capacity?​

NVIDIA H200 SXM is 141 GB HBM3e, Huawei Ascend 910C is 8× HBM3; the gap directly affects loadable model size and context length.