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NVIDIA RTX PRO 4500 Blackwell (Workstation Edition) for local LLMs

Written by Jakub Rusinowski · Last updated

With 32 GB of GDDR7 at 896 GB/s, the RTX PRO 4500 Blackwell (Workstation Edition) runs 110 catalogued models at Q4_K_M with 8K context. The largest that fits is Gemma 3 27B Instruct (~25.4 GB), and the top pick is Qwen 3.6 35B-A3B at 92–190 tok/s.

32 GB of GDDR7 with ECC on a 256-bit bus: 896 GB/s at 200 W, dual slot, 10,496 CUDA cores. This is the Workstation Edition. A passively cooled Server Edition is quoted at 800 GB/s and 165 W; it is a different record and is not listed until a second source confirms it.

Models that run on the RTX PRO 4500 Blackwell (Workstation Edition)

Q4_K_M, 8K context, 32 GB usable. Ranked by quality and speed.

ModelVRAMSpeed
Qwen 3.6 35B-A3B
Qwen 3.6
21.9 GB92–190 tok/s
Nex-N2.5 mini
Nex-N2.5
21.9 GB92–190 tok/s
Nex-N2 mini
Nex-N2
21.9 GB92–190 tok/s
Qwen 3.5 35B-A3B
Qwen 3.5
21.9 GB92–190 tok/s
Laguna XS 2.1 33B-A3B
Poolside Laguna XS 2.1
20.7 GB92–192 tok/s
Qwen 3 32B
Qwen 3
22.8 GB21–43 tok/s
Aya Expanse 32B
Aya Expanse
21.6 GB22–46 tok/s
EXAONE 3.5 32B
EXAONE 3.5
22.3 GB21–44 tok/s
Cogito v1 32B
Cogito v1
22.3 GB21–44 tok/s
Granite 4.0 Small-H 32B-A9B
IBM Granite 4.0
20.1 GB55–114 tok/s
Olmo 3 32B
Olmo 3
20.1 GB22–45 tok/s
DeepSeek R1 Distill Qwen 32B
DeepSeek R1
22.3 GB21–44 tok/s
Showing 12 of 110

Buy it or rent the same memory

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Buy this hardware NVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board powerDeploy in the cloud now NVIDIA A40 on RunPod — from $0.44/hr · rate checked 2026-08

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Speed vs other GPUs

Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated

Specifications

Specs last updated 2026-10-07.

Memory
32 GB GDDR7
Memory bandwidth
896 GB/s
Memory bus
256-bit
Architecture
Blackwell GB203
Series
RTX PRO Blackwell
Board power
200 W
Release year
2025
Compute backends
CUDA, VULKAN
Usable for models
32 GB
Best for32 GB workstation AI30B-class modelsECC memory

Similar GPUs

Frequently asked questions

Can the NVIDIA RTX PRO 4500 Blackwell (Workstation Edition) run local LLMs?

Yes. With 32 GB (32 GB usable by a model) it runs 110 of the catalogued models at Q4_K_M with 8K context; the largest is Gemma 3 27B Instruct, needing about 25.4 GB.

How fast is the NVIDIA RTX PRO 4500 Blackwell (Workstation Edition) for AI inference?

It is estimated to run Llama 3.1 8B at 70–145 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 32 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.

What LLMs can I run on 32 GB?

Among the best that fit: Qwen 3.6 35B-A3B, Nex-N2.5 mini, Nex-N2 mini, Qwen 3.5 35B-A3B, Laguna XS 2.1 33B-A3B.