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UNIT · NVIDIA · GPU
141 GB VRAMworkstation·Reviewed May 2026

NVIDIA H200 NVL (PCIe)

NVDA · HARDWARE
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 street·4800 GB/s memory bandwidth
RUNLOCALAI SCORE
See full leaderboard →
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.

WORKLOAD FIT
Try other hardware →

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. Approx. $32000.

Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.

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.

all-MiniLM-L6-v2
0.022B · other
FLUX.1 [dev]
12B · other
Qwen 3 0.6B
0.6B · qwen
BGE Large EN v1.5
0.335B · other
Nomic Embed Text v1.5
0.137B · other
Kokoro 82M
0.082B · other
Llama 3.1 8B Instruct
8B · llama
Qwen 3 30B-A3B
30B · qwen

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?

Current street price for NVIDIA H200 NVL (PCIe) is around $32000. Prices vary by region and supply.

Where next?

Buyer guides
  • Best GPU for local AI →
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  • Best used GPU for local AI →
Troubleshooting
  • CUDA out of memory →
  • Ollama running slowly →
  • ROCm not detected →
  • Model keeps crashing →

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

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Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

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