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NVIDIA RTX A5500 24GB
NVIDIA · GPU · Ampere Pro

NVIDIA RTX A5500 24GB — Benchmarks & Specs

24 GB VRAM230W TDP$2,500 MSRP2021

Short answer: the NVIDIA RTX A5500 24GB generates 26.1 tokens/sec on qwen:32b (q4_K_M) under ollama in a single cited run, per DatabaseMart; there are too few comparable runs on file for a median. Its 24 GB of VRAM holds up to DeepSeek-R1-Distill-Qwen 32B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (20 of 27 models fit). An eBay listing for it is $3,064.33, checked (listings can end at any time).

Who should buy this instead: the NVIDIA RTX A5500 24GB's 24 GB puts it in the 24 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 16 GB, compare the 16 GB pick. If they need more than 24 GB, start at the 48 GB+ pick.

Bottom line: how fast is the NVIDIA RTX A5500 24GB?

For local LLM inference it generates 26.1 tokens/sec running qwen:32b at q4_K_M under ollama, per DatabaseMart. In GeekBench 5 OpenCL it scores 173,222 points, per technical.city. Its 24 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is llava:34b (34B parameters, q4_K_M), generating 27.2 tokens/sec under ollama, per DatabaseMart. 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-Qwen 32B at Q4_K_M is the largest that fits in 24 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. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

eBay listing (New (other)): $3,064.33, checked . eBay listings are third-party and can end at any time; as an eBay Partner Network member, SpecPicks may earn a commission.

Check what fits in 24 GB: by file size at each listed quantization, 20 of the 27 open-weight model files in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA RTX A5500 24GB's 24 GB while keeping at least 1.5 GB reserved for an ~8K context; the largest that fits, DeepSeek-R1-Distill-Qwen 32B (a 19.9 GB Q4_K_M file per its Hugging Face listing), leaves roughly 4.1 GB free. Check a model in the Will-It-Run matrix →

What fits in the NVIDIA RTX A5500 24GB's 24 GB, and what doesn't

5 of these 7 model files load whole into 24 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. Speeds are this card's single-user generation speed from cited community runs at the Q4-class file listed; a row with no cited run says so rather than estimating one.

ModelQuantFits in 24 GB?Cited speed on this card
Llama 3.1 8B 4.9 GB fileQ4_K_MFits~19.1 GB left for contextNo public measurement on file
Qwen3 14B 9 GB fileQ4_K_MFits~15 GB left for contextNo public measurement on file
gpt-oss-20b 21B-A3.6B · 12.1 GB fileMXFP4Fits~11.9 GB left for contextNo public measurement on file
Qwen3 30B-A3B 18.6 GB fileQ4_K_MFits~5.4 GB left for contextNo public measurement on file
Qwen3 32B 19.8 GB fileQ4_K_MFits~4.2 GB left for contextNo public measurement on file
Gemma 3 27B 28.7 GB fileQ8_0Doesn't fit4.7 GB over; runs only with CPU offload— (does not load into VRAM)
Llama 3.3 70B 42.5 GB fileQ4_K_MDoesn't fit18.5 GB over; runs only with CPU offload— (does not load into VRAM)

The NVIDIA RTX A5500 24GB is a graphics card from the Ampere Pro family released in 2021 from NVIDIA. Key on-paper specs include 24 GB of GDDR6 VRAM, 230W TDP. It launched with a $2,500 MSRP, though street prices typically diverge meaningfully from launch pricing. Data on this page draws on 17 synthetic benchmark results (top 10 shown), 12 community AI inference reports, compiled from DatabaseMart, GPU-Monkey, TopCPU.net, 3DMark, CpuTronic, llama.cpp GitHub Discussions, MyAIHardware, PassMark, technical.city; each table row links to its source. Read this page when shopping the NVIDIA RTX A5500 24GB, 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 A5500 24GB, 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.
Model Quantization Relative Tokens/sec VRAM used Source
llama2:7b q4_0 llama.cpp 130.1 tok/s — llama.cpp GitHub Discussions 2024-01
llama2:13b q4_K_M ollama 60.5 tok/s 8.2 GB DatabaseMart 2026-07-08
llama3:8b q4_K_M llama.cpp 58.0 tok/s — MyAIHardware 2025-01
deepseek-r1:14b q4_K_M ollama 45.6 tok/s 7.4 GB DatabaseMart 2026-07-08
qwen2.5:14b q4_K_M ollama 45.5 tok/s 9.0 GB DatabaseMart 2026-07-08
mistral-small:22b q4_K_M ollama 37.1 tok/s 13.0 GB DatabaseMart 2026-07-08
gemma2:27b q4_K_M ollama 28.8 tok/s 19.2 GB DatabaseMart 2026-07-08
llava:34b q4_K_M ollama 27.2 tok/s 18.7 GB DatabaseMart 2026-07-08
qwen:32b q4_K_M ollama 26.1 tok/s 17.3 GB DatabaseMart 2026-07-08
deepseek-r1:32b q4_K_M ollama 24.2 tok/s 21.6 GB DatabaseMart 2026-07-08
qwq:32b q4_K_M ollama 24.1 tok/s 19.2 GB DatabaseMart 2026-07-08
qwen2.5:32b q4_K_M ollama 23.9 tok/s 21.6 GB DatabaseMart 2026-07-08

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 A5500 24GB — higher is better. Each row links to the public database the number was taken from. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark Relative Score Source
GeekBench 5 OpenCL 173,222 points technical.city retrieved 2026-04-29
PassMark G3D Mark 21,192 points PassMark retrieved 2026-07-09
3DMark Fire Strike Extreme Graphics 19,918 points GPU-Monkey (3DMark aggregate, PNY RTX A5500 24GB) 2026-10-08
3DMark Time Spy 15,878 points TopCPU.net retrieved 2026-07-09
3DMark Time Spy Graphics 15,767 points GPU-Monkey (3DMark aggregate, PNY RTX A5500 24GB) 2026-10-08
3DMark Time Spy 15,314 points CpuTronic retrieved 2026-08-09
PassMark GPU Compute 12,146 points PassMark Software retrieved 2026-04-29
3DMark Port Royal 10,616 points GPU-Monkey (3DMark aggregate, PNY RTX A5500 24GB) 2026-10-08
3DMark Time Spy 8,115 points 3DMark 2024-01
3DMark Time Spy Extreme 8,016 points TopCPU.net retrieved 2026-07-09

Full Specifications

TDP230 W
VRAM24 GB
CUDA cores8192
Memory typeGDDR6

NVIDIA RTX A5500 24GB — Frequently Asked Questions

What is the NVIDIA RTX A5500 24GB best used for?
NVIDIA RTX A5500 24GB is a 24 GB VRAM Ampere 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 A5500 24GB released, and what was its launch MSRP?
NVIDIA RTX A5500 24GB launched in 2021 at a $2,500 MSRP. Street prices drift from launch pricing over a product's life, so check the current listing before buying.
Where do the NVIDIA RTX A5500 24GB 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 A5500 24GB run local LLMs?
Yes — AI inference results for the NVIDIA RTX A5500 24GB are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. With 24 GB VRAM, 32B-parameter open-weight models fit at Q4 quantization.
Where can I buy the NVIDIA RTX A5500 24GB?
SpecPicks has no verified listing of the NVIDIA RTX A5500 24GB on file yet; the Amazon search link at the top of this page shows its current offers. SpecPicks earns a small affiliate commission on qualifying purchases.

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