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NVIDIA H200 SXM vs NVIDIA H200 NVL: Spec Comparison & Buyer's Guide

In AI infrastructure selection, NVIDIA H200 SXM and NVIDIA H200 NVL 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 SXMNVIDIA H200 NVL
VendorNVIDIANVIDIA
ArchitectureHopper GH100NVIDIA Hopper (GH100)
ProcessTSMC 4NTSMC 4nm
Release Date2024 112024
FP8 Compute3,958 TFLOPS3,341 TFLOPS
FP16 Compute—1,671 TFLOPS
FP32 Compute—60 TFLOPS
INT8 Compute—3,341 TOPS
Memory Type—HBM3e
Memory Capacity141 GB HBM3e141 GB HBM3e
Memory Bandwidth4.8 TB/s4.8 TB/s
TDP Power700 W600 W

Key Differences​

  • FP8 compute: NVIDIA H200 SXM leads with ~3,958 TFLOPS versus NVIDIA H200 NVL's 3,341 TFLOPS, a clear edge in large-scale Transformer training/inference.
  • Power: NVIDIA H200 NVL has a TDP of 600 W, lower than NVIDIA H200 SXM's 700 W, friendlier to datacenter PUE and cooling.

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, NVIDIA H200 NVL 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 NVIDIA H200 NVL?​

The core difference is architecture and compute density: NVIDIA H200 SXM uses Hopper GH100, FP8 ~3,958 TFLOPS, memory 141 GB HBM3e; NVIDIA H200 NVL uses NVIDIA Hopper (GH100), FP8 ~3,341 TFLOPS, memory 141 GB HBM3e. 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 NVIDIA H200 NVL differ in memory capacity?​

NVIDIA H200 SXM is 141 GB HBM3e, NVIDIA H200 NVL is 141 GB HBM3e; the gap directly affects loadable model size and context length.