Skip to main content
NVIDIA RTX PRO 5000 Blackwell
NVIDIA · GPU · Blackwell Pro

NVIDIA RTX PRO 5000 Blackwell — Benchmarks & Specs

Data last updated · SpecPicks Editorial

48 GB VRAM300W TDP2025

Short answer: the NVIDIA RTX PRO 5000 Blackwell generates a median 160 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 3 cited runs from GPU Battle and Hardware Corner. All 27 models in the Will-It-Run matrix fit in its 48 GB of VRAM at their listed quantization with an ~8K context, the largest in the sizing matrix being DeepSeek-R1-Distill-Llama 70B at Q4_K_M (estimated to fit, not a measured run); the matrix does not include larger models, so this is not the card's ceiling. At the $7,985.00 Amazon price checked 3 h ago (prices change), that is 20.0 tok/s per $1,000, the SpecPicks Value Index.

Against the NVIDIA RTX PRO 6000 Blackwell: Both hold up to DeepSeek-R1-Distill-Llama 70B at Q4_K_M (Will-It-Run sizing, ~8K context); the NVIDIA RTX PRO 6000 Blackwell has 48 GB more VRAM (96 GB against 48 GB) for longer context or larger models. Which to pick: the NVIDIA RTX PRO 6000 Blackwell for longer context or models past DeepSeek-R1-Distill-Llama 70B; the NVIDIA RTX PRO 5000 Blackwell if DeepSeek-R1-Distill-Llama 70B at Q4_K_M with ~8K context is your ceiling. NVIDIA RTX PRO 6000 Blackwell benchmarks →

  • Median speed 160 tok/s 3 cited runs, 7-9B at Q4, llama.cpp
  • Fits in 48 GB all 27 matrix models → at ~8K context; the largest in the sizing matrix is DeepSeek-R1-Distill-Llama 70B at Q4_K_M (estimated to fit, not a measured run), and the Will-It-Run matrix has no larger model
  • Lowest linked price $7,985.00 Amazon, checked ; prices change
  • Value Index 20.0 tok/s per $1,000 median speed ÷ the tracked Amazon price above (the lowest tracked listing)
Find NVIDIA RTX PRO 5000 Blackwell on eBay → View Current Price on Amazon → Details →

Who should buy this instead: the NVIDIA RTX PRO 5000 Blackwell's 48 GB puts it in the 48 GB+ tier of the local-LLM GPU picks by VRAM (one card per tier, each with cited tok/s). If the models you run fit in 24 GB, compare the 24 GB pick. If they need more than 48 GB, start at the 128 GB unified pick.

NVIDIA RTX PRO 5000 Blackwell: verdict by use case

  • For everyday local models (7-9B dense): a median 160 tok/s at 4-bit (Q4) under llama.cpp, across 3 cited runs (GPU Battle, Hardware Corner).
  • For 70B-class local models (65-73B dense): a median 23.7 tok/s at 4-bit (Q4) under ollama, across 5 cited runs (DatabaseMart, ComputingForGeeks).
  • For large models in 48 GB: all 27 models in the Will-It-Run matrix fit with an ~8K context, the largest in the sizing matrix being DeepSeek-R1-Distill-Llama 70B at Q4_K_M (estimated to fit, not a measured run); the matrix does not include larger models, so 48 GB has headroom beyond it that is not sized here.
  • For speed per dollar: 20.0 tok/s per $1,000 on 7-9B models, at the $7,985.00 Amazon price checked (price may vary).

Each verdict quotes a figure from a linked source or a row in the tables below. Where no cited figure exists for a use case, there is no verdict line for it.

Bottom line: how fast is the NVIDIA RTX PRO 5000 Blackwell?

SpecPicks median: 160 tokens/sec across 3 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 126–208 tok/s), from GPU Battle, Hardware Corner (2 runs). At the $7,985.00 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 20.0 tok/s per $1,000. For larger models, the SpecPicks median is 23.7 tokens/sec across 5 cited single-user runs of 65-73B dense models at 4-bit (Q4) under ollama (range 4.4–26.1 tok/s), from DatabaseMart (3 runs), ComputingForGeeks (2 runs). One of those runs: qwen2.5:72b at q4_K_M generates 23.7 tokens/sec under ollama, per DatabaseMart. In PassMark G3D Mark it scores 32,459 points, per PassMark Software. Its 48 GB of VRAM is the binding constraint for local inference: the qwen2.5:72b run above (72B parameters) is the largest model on file at 4-bit quantization on this card. That run's source does not report a context length; the Will-It-Run matrix sizes each model at its listed quantization with an ~8K context, and by that measure DeepSeek-R1-Distill-Llama 70B at Q4_K_M is the largest that fits in 48 GB.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the SpecPicks median is computed here from the runs it names, each a row in the AI table, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

Amazon listing: $7,985.00, checked (price may vary)

*Price sourced from Amazon.com. Last updated 2026-11-13. Price and availability subject to change.

Check what fits in 48 GB: by file size at each listed quantization, 27 of the 27 open-weight model files in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA RTX PRO 5000 Blackwell's 48 GB while keeping at least 1.5 GB reserved for an ~8K context; the largest, DeepSeek-R1-Distill-Llama 70B (a 42.5 GB Q4_K_M file per its Hugging Face listing), leaves roughly 9 GB of the card's 51.5 GB (48 GiB) free. Will DeepSeek-R1-Distill-Llama 70B run on the RTX PRO 5000 Blackwell 48GB? → · Full Will-It-Run matrix

What fits in the NVIDIA RTX PRO 5000 Blackwell's 48 GB, and what doesn't

7 of these 7 model files load whole into 48 GB with room for an ~8K context. A file fits when the card keeps at least 1.5 GB free after the weights; file sizes are the GGUF downloads on Hugging Face in decimal GB, and the card's 48 GB (binary GiB) is 51.5 GB in the same units. Speeds are this card's single-user generation speed from cited community runs at the file listed; a row with no cited run says so rather than estimating one.

ModelQuantFits in 48 GB?Cited speed on this card
Llama 3.1 8B 4.9 GB fileQ4_K_MFits~46.6 GB left for context150 tok/smedian of 2 cited runs, per GPU Battle, ComputingForGeeks
Qwen3 14B 9 GB fileQ4_K_MFits~42.5 GB left for context91.6 tok/smedian of 2 cited runs, per Hardware Corner
gpt-oss-20b 21B-A3.6B · 12.1 GB fileMXFP4Fits~39.4 GB left for context194 tok/smedian of 2 cited runs, per Hardware Corner, DatabaseMart
Qwen3 30B-A3B 18.6 GB fileQ4_K_MFits~33 GB left for context189 tok/s1 cited run, llama.cpp, per Hardware Corner
Qwen3 32B 19.8 GB fileQ4_K_MFits~31.8 GB left for context46.6 tok/smedian of 5 cited runs, per GPU Battle, DatabaseMart, Hardware Corner
Gemma 3 27B 28.7 GB fileQ8_0Fits~22.8 GB left for contextNo public measurement on file
Llama 3.3 70B 42.5 GB fileQ4_K_MFits~9 GB left for context24 tok/smedian of 3 cited runs, per GPU Battle, Hardware Corner

The NVIDIA RTX PRO 5000 Blackwell is a graphics card from the Blackwell Pro family released in 2025 from NVIDIA. Key on-paper specs include 48 GB of GDDR7 VRAM, 300W TDP. Data on this page draws on 3 linked listings, 2 synthetic benchmark results, 40 community AI inference reports (top 17 shown), compiled from DatabaseMart, Hardware Corner, ComputingForGeeks, GPU Battle, PassMark Software; each table row links to its source. Read this page when shopping the NVIDIA RTX PRO 5000 Blackwell, comparing it against other graphics cards in your build, or sizing it for a specific workload (synthetic benchmark scores or local LLM inference).

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the NVIDIA RTX PRO 5000 Blackwell, in generated tokens per second for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from. Batched serving runs are listed separately below.
Model Quantization Relative Tokens/sec VRAM used Source
qwen3:4b q4_K_M llama.cpp 298.8 tok/s 3.1 GB GPU Battle 2026-07-12
gpt-oss:20b MXFP4 llama.cpp 213.4 tok/s — Hardware Corner 2026-03
llama3.1:8b q4_K_M llama.cpp 208.3 tok/s 4.8 GB GPU Battle 2026-07-12
qwen3:30b-a3b q4_K_M llama.cpp 188.8 tok/s — Hardware Corner 2025-09
gpt-oss:20b MXFP4 ollama 175.3 tok/s — DatabaseMart 2026-10-22
qwen3:8b q4_K_M llama.cpp 4K context 159.8 tok/s — Hardware Corner 2026-03
qwen3:8b q4_K_M llama.cpp 16K context 126.3 tok/s — Hardware Corner 2026-03
qwen2.5-coder:14b q4_K_M llama.cpp 114.6 tok/s 8.8 GB GPU Battle 2026-07-12
deepseek-r1:70b q4_K_M ollama 26.1 tok/s — DatabaseMart 2026-01-29
llama3.3:70b q4_K_M ollama 26.1 tok/s 43.0 GB DatabaseMart 2026-01
qwen2.5:72b q4_K_M ollama 23.7 tok/s — DatabaseMart 2026-01-29
qwen2.5:72b q4_K_M ollama 8K context 12.1 tok/s 47.0 GB ComputingForGeeks 2026-06
qwen2.5:72b q4_K_M ollama 32K context 4.4 tok/s — ComputingForGeeks 2026-09-25

Batched serving throughput

Aggregate output tokens per second on the NVIDIA RTX PRO 5000 Blackwell summed across 50 concurrent requests (serving runtimes such as vLLM). This is total server throughput, not one user's generation speed — each request generates far slower — so these rows are not comparable with the single-stream table above.
Model Quantization Relative Tokens/sec (aggregate) VRAM used Source
qwen3:8b FP16 vllm batched 2479.5 tok/s aggregate — DatabaseMart 2025-10
llama3.1:8b FP16 vllm batched 2462.5 tok/s aggregate — DatabaseMart 2025-10
qwen3:8b FP16 vllm batched 2125.3 tok/s aggregate — DatabaseMart 2026-01-29
llama3.1:8b FP16 vllm 50 concurrent requests 2113.8 tok/s aggregate — DatabaseMart 2026-01

Synthetic Benchmarks

Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.

Synthetic benchmark scores for the NVIDIA RTX PRO 5000 Blackwell — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
PassMark G3D Mark 32,459 points PassMark Software retrieved 2026-09-24
PassMark G2D Mark 1,271 points PassMark Software retrieved 2026-09-24

Products Featuring the NVIDIA RTX PRO 5000 Blackwell

Systems with the NVIDIA RTX PRO 5000 Blackwell

Laptops and desktops that ship with the NVIDIA RTX PRO 5000 Blackwell — whole systems, listed separately from the part itself.

Full Specifications

TDP300 W
VRAM48 GB
CUDA cores14080
Memory typeGDDR7

NVIDIA RTX PRO 5000 Blackwell — Frequently Asked Questions

What is the NVIDIA RTX PRO 5000 Blackwell best used for?
NVIDIA RTX PRO 5000 Blackwell is a 48 GB VRAM Blackwell Pro-family workstation graphics card. Professional 3D modeling, CAD, rendering and simulation on certified drivers, plus local LLM inference in its large VRAM pool, are the headline use cases; the benchmark tables on this page place it within its generation.
When was the NVIDIA RTX PRO 5000 Blackwell released?
NVIDIA RTX PRO 5000 Blackwell was released in 2025, a Blackwell Pro-generation part.
Where do the NVIDIA RTX PRO 5000 Blackwell benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
Can the NVIDIA RTX PRO 5000 Blackwell run local LLMs?
Yes — AI inference results for the NVIDIA RTX PRO 5000 Blackwell are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. With 48 GB VRAM, 32B-parameter open-weight models fit at Q4 quantization.
Where can I buy the NVIDIA RTX PRO 5000 Blackwell?
Amazon listings for the NVIDIA RTX PRO 5000 Blackwell are linked at the top of this page and in the Products Featuring the NVIDIA RTX PRO 5000 Blackwell section. SpecPicks earns a small affiliate commission on qualifying purchases, at no extra cost to the buyer.

Buying guides that rank the NVIDIA RTX PRO 5000 Blackwell's class

This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.

Related GPUs

Editorial guides covering the NVIDIA RTX PRO 5000 Blackwell

In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.

More guides & deep dives from the SpecPicks archive

Browse all articles & guides →

More reviews from the SpecPicks archive

Browse all reviews →

More buying guides from SpecPicks

Browse all buying guides →

Hardware benchmark data on SpecPicks

All benchmarks →
NVIDIA RTX PRO 5000 Blackwell
NVIDIA RTX PRO 5000 Blackwell
$7985.00
View on Amazon →