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NVIDIA RTX A6000 48GB
NVIDIA · GPU · Ampere Pro

NVIDIA RTX A6000 48GB — Benchmarks & Specs

48 GB VRAM300W TDP$4,650 MSRP2020

Bottom line: how fast is the NVIDIA RTX A6000 48GB?

At 1440p (Ultra), the NVIDIA RTX A6000 48GB averages 168 fps in Shadow of the Tomb Raider, per cputronic. For local LLM inference it generates 1643.9 tokens/sec running deepseek-r1-distill-llama:8b at BF16 under vllm, per DatabaseMart. In 3DMark Fire Strike (Graphics Score) it scores 27,511 points, per Notebookcheck. Its 48 GB of VRAM is the binding constraint for local inference: that capacity fits 70B-parameter open-weight models at Q4 without offloading.

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.

The NVIDIA RTX A6000 48GB is a graphics card from the Ampere Pro family released in 2020 from NVIDIA. Key on-paper specs include 48 GB of GDDR VRAM, 300W TDP. It launched with a $4,650 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, 12 community AI inference reports, 12 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA RTX A6000 48GB, 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).

Gaming Performance (measured FPS)

Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.

Measured gaming frame rates for the NVIDIA RTX A6000 48GB by game, resolution, and quality preset. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game Resolution Settings Relative Avg FPS 1% low Source
Shadow of the Tomb Raider 1080p Highest 230 fps — CpuTronic 2021-01-01
Shadow of the Tomb Raider 1080p Ultra 230 fps — cputronic 2022-01-01
Battlefield V 1080p Ultra 196 fps — CpuTronic 2021-06-01
Battlefield 5 1080p Ultra 196 fps — CpuTronic 2021-01-01
Battlefield V 1080p Ultra 196 fps — cputronic 2022-01-01
Shadow of the Tomb Raider 1440p Ultra 168 fps — cputronic 2022-01-01
Shadow of the Tomb Raider 1440p Highest 168 fps — CpuTronic 2021-01-01
GTA V 1080p Ultra 157 fps — CpuTronic 2021-01-01
Shadow of the Tomb Raider 4K Highest 102 fps — CpuTronic 2021-01-01
Shadow of the Tomb Raider 4K Ultra 102 fps — cputronic 2022-01-01
GTA V 1440p Ultra 98 fps — CpuTronic 2021-01-01
GTA V 4K Ultra 98 fps — CpuTronic 2021-01-01

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 A6000 48GB, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
deepseek-r1-distill-llama:8b BF16 vllm 1643.9 tok/s 15.0 GB DatabaseMart 2026-08-25
deepseek-r1-distill-llama:8b FP16 vllm 1385.8 tok/s 15.0 GB DatabaseMart 2025-03-01
llama3.1:8b FP16 vllm 1218.6 tok/s 15.0 GB DatabaseMart 2025-03-01
qwen2.5:14b FP16 vllm 695.5 tok/s 28.0 GB DatabaseMart 2025-03-01
deepseek-r1-distill-qwen:14b FP16 vllm 566.1 tok/s 28.0 GB DatabaseMart 2025-03-01
llama2:7b q4_0 llama.cpp 144.9 tok/s — llama.cpp GitHub Discussion #15013 2025-08-01
llama3:8b q4_K_M llama.cpp 102.2 tok/s — GitHub/XiongjieDai 2024-06-01
llama3:8b q4_K_M llama.cpp 102.2 tok/s — OpenLLMBenchmarks 2024-09-30
llama3:8b q4_K_M llama.cpp 102.2 tok/s — OpenLLM Benchmarks 2025-01-01
llama3:8b q4_K_M llama.cpp 102.2 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub, XiongjieDai) 2024-05-01
llama2:13b — ollama 63.6 tok/s 7.4 GB DatabaseMart 2025-03-01
phi4:14b — ollama 52.6 tok/s 9.1 GB DatabaseMart 2025-03-01

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 A6000 48GB — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
3DMark Fire Strike (Graphics Score) 27,511 points Notebookcheck 2021-01-01
3DMark Fire Strike Graphics 27,511 points Technical.City 2026-04-30
3DMark Fire Strike 25,280 points Notebookcheck 2021-01-01
PassMark G3D Mark 24,800 PassMark 2026-05-06
PassMark G3D Mark 22,767 points PassMark Software 2026-04-30
PassMark G3D Mark 22,657 points PassMark PerformanceTest 2026-06-09
3DMark Fire Strike Extreme 22,185 points StorageReview 2023-10-19
3DMark Time Spy 18,451 points StorageReview 2023-10-19
3DMark Time Spy 18,152 points CpuTronic 2022-01-01
3DMark Time Spy 17,796 points 3DMark 2022-01-01

Full Specifications

tdp w300
vram gb48
cuda cores10752
memory typeGDDR6

NVIDIA RTX A6000 48GB — Frequently Asked Questions

What is the NVIDIA RTX A6000 48GB best used for?
NVIDIA RTX A6000 48GB is positioned as a 48 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 A6000 48GB released, and what was its launch MSRP?
NVIDIA RTX A6000 48GB launched in 2020 at a $4,650 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 A6000 48GB run local LLMs?
Yes — NVIDIA RTX A6000 48GB has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). With 48 GB VRAM, it fits the popular 32B-parameter open-weight models at Q4 quantization comfortably.
Where can I buy the NVIDIA RTX A6000 48GB?
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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