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RTX 6000 Ada Generation
NVIDIA · GPU

RTX 6000 Ada Generation — Benchmarks & Specs

48 GB VRAM300W TDP$6,800 MSRP

The RTX 6000 Ada Generation is a graphics card from NVIDIA. Key on-paper specs include 48 GB of GDDR VRAM, 300W TDP. It launched with a $6,800 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 RTX 6000 Ada Generation, 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.

3DMark Fire Strike via RadarGit
48,841 points
3DMark Steel Nomad Lite via RadarGit
32,929 points
3DMark Time Spy Graphics via Tom's Hardware
30,518 points
3DMark Time Spy (Graphics Score) via KitGuru
30,518 points
PassMark G3D Mark via PassMark (VideoCardBenchmark)
28,663 points
PassMark G3D Mark via PassMark
28,598 pts
3DMark Time Spy via 3DMark
26,048 points
3DMark Time Spy via StorageReview
21,180 points
3DMark Port Royal via RadarGit
19,252 points
3DMark Port Royal via StorageReview
19,160 points

AI Inference Performance

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

Llama 3 8B Q4_K_M via GitHub - XiongjieDai GPU Benchmarks on LLM Inference
131.0 tok/s
llama3:8b q4_K_M via XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub)
131.0 tok/s
llama3:8b q4_K_M via GitHub XiongjieDai/GPU-Benchmarks-on-LLM-Inference
131.0 tok/s
deepseekr1:32b via LocalLLaMA
100.0 tok/s
llama4:scout-17b-16e q4_K_M via Fixstars Corporation Tech Blog
56.0 tok/s
llama4:17b-scout q4_K_M via Fixstars Corporation Tech Blog
56.0 tok/s
Llama 3 8B F16 via GitHub - XiongjieDai GPU Benchmarks on LLM Inference
52.0 tok/s
llama3:8b FP16 via XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub)
52.0 tok/s
llama3:8b FP16 via GitHub XiongjieDai/GPU-Benchmarks-on-LLM-Inference
52.0 tok/s
qwen3:32b q4_K_M via Hardware Corner
25.1 tok/s

Full Specifications

tdp w300
vram gb48
cuda cores18176
memory typeGDDR6

RTX 6000 Ada Generation — Frequently Asked Questions

What is the RTX 6000 Ada Generation best used for?
RTX 6000 Ada Generation is positioned as a 48 GB VRAM 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 RTX 6000 Ada Generation released, and what was its launch MSRP?
Release year and launch MSRP aren't on file for RTX 6000 Ada Generation. Current pricing is visible on the linked Amazon product cards below.
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 RTX 6000 Ada Generation run local LLMs?
Yes — RTX 6000 Ada Generation has 10 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 RTX 6000 Ada Generation?
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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