NVIDIA RTX PRO 6000 Blackwell
NVIDIA · Pro GPU · 2025
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Price checked Aug 15, 2026
Performance Benchmarks
LLM Inference all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
Qwen3-8B
Q4_K_XL Token generation: 16K context, batch 1, Ubuntu 24.04, on-hardware lab measurement |
tokens per second |
140.6
tok/s
llama.cpp llama-bench, CUDA 12.8 · 2025-12-09
|
Unverified community Hardware Corner LLM GPU Rankings ↗ |
|
Qwen3.8-Flash-Next
FP8 single RTX PRO 6000 Blackwell, short context, community-tested |
tokens per second |
90
tok/s
vLLM (Blackwell) · 2026-09-01
|
Unverified community blog.kubesimplify.com ↗ |
|
Qwen3.8-Flash-Next
FP8 2x RTX PRO 6000 Blackwell, generation speed, community-tested |
tokens per second |
124
tok/s
vLLM (Blackwell) · 2026-09-01
|
Unverified community blog.kubesimplify.com ↗ |
Full Specifications
Related GPUs
Common Questions
Can the NVIDIA RTX PRO 6000 Blackwell run local LLMs?
Yes, if the model fits in its 96 GB of memory — VRAM capacity decides which models load at all, while its 1792 GB/s of bandwidth decides how fast tokens generate. With 24 GB or more it can hold large quantized models such as 70B-class LLMs in reduced precision, and our model pages list exact VRAM fits per model.
How much VRAM does the NVIDIA RTX PRO 6000 Blackwell have?
NVIDIA RTX PRO 6000 Blackwell has 96 GB of video memory with 1792 GB/s of memory bandwidth and a 600 W TDP , per the specification values in our hardware database.
Is the NVIDIA RTX PRO 6000 Blackwell worth it for AI workloads?
Its value depends on whether your models fit in 96 GB. Compare its VRAM and bandwidth against your target models with our VRAM calculator, or see how it stacks up in head-to-head comparisons.
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