UNIT · NVIDIA · GPU
141 GB VRAMworkstationReviewed May 2026

NVIDIA H200 NVL (PCIe)

No editorial image yet — generic vendor mark shown. Credentials in spec table below.

The PCIe-form-factor variant of the H200. Same 141 GB HBM3e, same memory subsystem (~4.8 TB/s bandwidth), in a dual-slot workstation card rather than the SXM5 datacenter module. For operators who want H200-class capacity in a standard PCIe slot (workstation deployments, single-node serving), the NVL is the realistic path. Two cards in NVLink Bridge pair to act as an effective 282 GB pool.

Released 2024·~$32000 editorial estimate · date unavailable·4800 GB/s memory bandwidth
RUNLOCALAI SCORE
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684/ 1000
BB-tier
Estimated
Throughput
500/ 500
VRAM-fit
200/ 200
Ecosystem
200/ 200
Efficiency
77/ 100

Sub-scores sum to 977 / 1000. Headline = 977 × 0.70 (Estimated-confidence discount) = 684. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →

Extrapolated from 4800 GB/s bandwidth — 576.0 tok/s estimated. No measured benchmarks yet.

Plain-English: Runs 70B comfortably — snappy enough for a coding agent; vision models supported.

7B chat
Comfortable
14B chat
Comfortable
32B chat
Comfortable
70B chat
Comfortable
Coding agent
Comfortable
Vision (≤8B VLM)
Comfortable
Long context (32K)
Comfortable
Comfortable — fits with headroom
~Tight — works, no slack
Marginal — needs aggressive quant
Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · OVERVIEW

Overview

The PCIe-form-factor variant of the H200. Same 141 GB HBM3e, same memory subsystem (~4.8 TB/s bandwidth), in a dual-slot workstation card rather than the SXM5 datacenter module. For operators who want H200-class capacity in a standard PCIe slot (workstation deployments, single-node serving), the NVL is the realistic path. Two cards in NVLink Bridge pair to act as an effective 282 GB pool. Realistic deployment: production inference serving via vLLM or TensorRT-LLM, large-context RAG over enterprise corpora, 70B-class fine-tuning. Not for consumer rigs.

Retailers we'd check:Amazon

Search-fallback link — editorial hasn't yet curated a retailer URL for this card. Editorial estimate: $32000; confirm with the retailer.

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BLK · SPECS

Specs

VRAM141 GB
Power draw (peak)600 W
Released2024
Backends
CUDA

Models that fit

Open-weight models small enough to run on NVIDIA H200 NVL (PCIe) with usable context.

Frequently asked

What models can NVIDIA H200 NVL (PCIe) run?

With 141GB VRAM, the NVIDIA H200 NVL (PCIe) runs 70B models in 4-bit quantization, plus everything smaller. See the model list below for tested combinations.

Does NVIDIA H200 NVL (PCIe) support CUDA?

Yes — NVIDIA H200 NVL (PCIe) is an NVIDIA card with full CUDA support, the most mature local-AI backend. llama.cpp, Ollama, vLLM, and ExLlamaV2 all run natively.

How much does NVIDIA H200 NVL (PCIe) cost?

Editorial price estimate for NVIDIA H200 NVL (PCIe): $32000. Price check date unavailable. Verify current retailer price and availability.

Where next?

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.