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NVIDIA RTX A5000 24GB
NVIDIA · GPU · Ampere Pro

NVIDIA RTX A5000 24GB — Benchmarks & Specs

24 GB VRAM230W TDP$1,999 MSRP2021

The NVIDIA RTX A5000 24GB is a graphics card from the Ampere Pro family released in 2021 from NVIDIA. Key on-paper specs include 24 GB of GDDR VRAM, 230W TDP. It launched with a $1,999 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 10 synthetic benchmark results, 10 community AI inference reports, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA RTX A5000 24GB, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).

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.

Geekbench 5 CUDA via Technical.city
190,987 points
Geekbench 5 OpenCL via Technical.city
155,952 points
Geekbench 5 Vulkan via Technical.city
137,639 points
3DMark Fire Strike via GPU Monkey
27,271 points
PassMark G3D Mark via PassMark VideoCardBenchmark
23,034 points
PassMark G3D Mark via PassMark
22,887 points
3DMark Time Spy via TopCPU GPU Ranking — 3DMark Time Spy
14,600 points
3DMark Time Spy via CpuTronic GPU Database
14,182 points
3DMark Time Spy via CpuTronic
14,182 points
3DMark Steel Nomad DX12 via UL Benchmarks
3,790 points

AI Inference Performance

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

deepseek-r1-distill-qwen:1.5b FP16 via DatabaseMart — A5000 vLLM Benchmark
3274.3 tok/s
qwen2.5:3b FP16 via DatabaseMart — A5000 vLLM Benchmark
2303.5 tok/s
deepseek-r1-distill-qwen:7b FP16 via DatabaseMart — A5000 vLLM Benchmark
1349.2 tok/s
deepseek-r1-distill-llama:8b FP16 via DatabaseMart — A5000 vLLM Benchmark
1285.6 tok/s
qwen2.5-vl:7b FP16 via DatabaseMart — A5000 vLLM Benchmark
1078.3 tok/s
gemma-2-9b-it FP16 via DatabaseMart — A5000 vLLM Benchmark
166.0 tok/s
llama2:7b Q4_0 via KnightLi llama.cpp GPU Benchmark Scoreboard
138.7 tok/s
llama2:7b Q4_0 via llama.cpp GitHub Discussion #15013
130.1 tok/s
llama4:scout Q4_K_M via hkadm/ollama_gpu_test (GitHub)
119.5 tok/s
llama2:13b Q4_0 via DatabaseMart — Ollama A5000 GPU Benchmark
60.5 tok/s

Full Specifications

tdp w230
vram gb24
cuda cores8192
memory typeGDDR6

NVIDIA RTX A5000 24GB — Frequently Asked Questions

What is the NVIDIA RTX A5000 24GB best used for?
NVIDIA RTX A5000 24GB is positioned as a 24 GB VRAM Ampere Pro-family graphics card. Use it for high-end 4K gaming and local LLM inference. See the synthetic + AI benchmark tables below for measured performance.
When was the NVIDIA RTX A5000 24GB released, and what was its launch MSRP?
NVIDIA RTX A5000 24GB launched in 2021 at a $1,999 MSRP. Street prices diverge from launch pricing over a product's lifetime — check the linked Amazon listings on this page for current availability.
Where do the benchmark numbers on this page come from?
Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.
Can the NVIDIA RTX A5000 24GB run local LLMs?
Yes — NVIDIA RTX A5000 24GB has 10 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). With 24 GB VRAM, it fits the popular 32B-parameter open-weight models at Q4 quantization comfortably.
Where can I buy the NVIDIA RTX A5000 24GB?
Active Amazon listings aren't on file for this exact SKU yet. See the linked benchmark sources and the Compare tool for adjacent parts that may be in stock — and check the /benchmarks index for the latest curated picks in this category.

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