NVIDIA RTX PRO 4500 Blackwell
No editorial image yet — generic vendor mark shown. Credentials in spec table below.
Mid-tier Blackwell workstation card: 32GB GDDR7, 200W, explicitly pitched for desktop LLM inference and generative AI. Fills the single-card 32GB local-inference slot between the 24GB RTX PRO 4000 and the 48GB+ RTX PRO 5000/6000.
Sub-scores sum to 725 / 1000. Headline = 725 × 0.70 (Estimated-confidence discount) = 507. 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 896 GB/s bandwidth — 107.5 tok/s estimated. No measured benchmarks yet.
Plain-English: Comfortable at 32B and below — snappy enough for a coding agent; vision models supported.
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.
What it does well
The RTX PRO 4500 Blackwell hits a sweet spot the consumer line misses: 32GB of CUDA VRAM at 200W in a workstation form factor. That's enough to run 32B models at good quants entirely on-card, or 70B at aggressive quantization, with the full NVIDIA stack and ECC memory — at a meaningfully lower price and power than the 48GB+ RTX PRO 5000/6000. For a quiet desk-side single-card inference box that needs more than a 5090's 32GB-but-gaming-card tradeoffs, it's a clean professional option.
Where it struggles
Workstation pricing (~$2,600) means you pay a steep premium over a consumer RTX 5090 (also 32GB, faster raw, ~$2k) — you're buying the lower power draw, blower/workstation thermals, ECC, and pro drivers, not more capability per dollar. For pure local inference where ECC and form factor don't matter, a 5090 or two used 3090s often deliver more tokens/sec/dollar. 32GB also still can't fit 70B unquantized.
Bottom line
The right call for a professional 32GB single-slot-friendly CUDA inference card where power, thermals, and ECC matter. Hobbyists chasing raw tokens/dollar should look at the 5090 or used 3090s instead.
Overview
Mid-tier Blackwell workstation card: 32GB GDDR7, 200W, explicitly pitched for desktop LLM inference and generative AI. Fills the single-card 32GB local-inference slot between the 24GB RTX PRO 4000 and the 48GB+ RTX PRO 5000/6000.
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Specs
| VRAM | 32 GB |
| Power draw (peak) | 200 W |
| Released | 2025 |
| MSRP | $2600 |
| Backends | CUDA Vulkan |
Models that fit
Open-weight models small enough to run on NVIDIA RTX PRO 4500 Blackwell with usable context.
Hardware worth comparing
The closest alternatives by price, memory bandwidth, and form factor, plus a step up and down — so you can frame the buying decision against real options.
Frequently asked
What models can NVIDIA RTX PRO 4500 Blackwell run?
Does NVIDIA RTX PRO 4500 Blackwell support CUDA?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.