NVIDIA RTX 6000 Ada Generation, AI & Machine Learning Benchmarks & Specs

48GB · AI Score 23.8/100 · first-party measured on 12 AI workloads

23.8 AI Score ✓ Measured

Every number on this page is first-party: NVIDIA RTX 6000 Ada Generation was run on our pinned 12-workload AI suite on 2026-07-12, with under 0.5% run-to-run variance. On Llama 3.1 8B (Q4_K_M) NVIDIA RTX 6000 Ada Generation delivers about 157.89 tokens/sec. Stepping up to Qwen3 32B it holds roughly 39.87 tok/s. The full Llama 3.3 70B still runs, at about 18.4 tok/s. For image generation, SDXL runs at 5.35 it/s, and FLUX.1-dev at 1.04 it/s. All 12 workloads fit in 48GB. There is no model in our suite this card has to turn down. NVIDIA RTX 6000 Ada Generation isn't a retail purchase for most people. It's rented by the hour. You can run this exact card on RunPod.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B241.33

Llama 3.1 8B157.89

Qwen2.5-Coder 14B87.51

Qwen3 32B39.87

Llama 3.3 70B18.4

Workload	Result	Telemetry	Data
Qwen3 4B	241.33 tok/s	2.9 GB peak176 W62°C1.37 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	157.89 tok/s	4.9 GB peak210 W65°C0.75 tok/WQ4_K_M	✓ Measured
Qwen2.5-Coder 14B	87.51 tok/s	8.6 GB peak229 W70°C0.38 tok/WQ4_K_M	✓ Measured
Qwen3 32B	39.87 tok/s	18.9 GB peak225 W74°C0.18 tok/WQ4_K_M	✓ Measured
Llama 3.3 70B	18.4 tok/s	40 GB peak212 W80°C0.09 tok/WQ4_K_M	✓ Measured

Image Generation images/min 3

Stable Diffusion XL10.7

Z-Image Turbo5.1

FLUX.1 dev2.229

Workload	Result	Telemetry	Data
Stable Diffusion XL	10.7 images/min	14.9 GB peak298 W84°C5.6 s/img	✓ Measured
Z-Image Turbo	5.1 images/min	25.8 GB peak298 W88°C11.8 s/img	✓ Measured
FLUX.1 dev	2.23 images/min	36.7 GB peak299 W89°C26.8 s/img	✓ Measured

Image Editing images/min 1

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	1.03 images/min	35.5 GB peak298 W89°C57.9 s/img	✓ Measured

How we measured this. Every result comes from our own pinned, reproducible AI suite, 12 workloads: the Qwen3-4B to Llama-70B LLM ladder (llama.cpp, Q4_K_M), SDXL / Z-Image / FLUX-dev generation, FLUX-Kontext / Qwen-Edit editing, and LTX / Wan video, run first-party on rented hardware with under 0.5% run-to-run variance. Peak VRAM, power draw, temperature and tokens-per-watt are captured per workload. “Won’t fit” rows are real data: where a model exceeds the card’s VRAM at the tested precision we record a hard gate rather than silently dropping to a smaller quant. Measured 2026-07-12 · harness 2.0.0-standalone.

NVIDIA RTX 6000 Ada Generation specifications

Architecture	Ada Lovelace
CUDA cores	18,176
VRAM	48GB GDDR6 ECC
Memory bus	384-bit
Memory bandwidth	960 GB/s
Boost clock	2,505 MHz
TDP	300 W
Process	4nm
Interface	PCIe 4.0 x16
Release date	2022-12-03
Launch MSRP	$6,799

Verdict, NVIDIA RTX 6000 Ada Generation on real AI workloads

NVIDIA RTX 6000 Ada Generation scores 23.8/100, #18 of 102. It ran all 12 workloads. Every figure here is our own measurement.

Relative performance: where the NVIDIA RTX 6000 Ada Generation lands

100% = this card, AI & Machine Learning headline metric (AI Score). #1 of 61 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA RTX 6000 Ada Generation	100%	23.8
NVIDIA GeForce RTX 5090	94%	22.3
NVIDIA RTX 5880 Ada Generation	68%	16.3
NVIDIA RTX 5000 Ada Generation	46%	11
NVIDIA GeForce RTX 4090	44%	10.4

One tier down: NVIDIA GeForce RTX 5090 (-6%) · compare head-to-head
Best value alternative ($1,999): NVIDIA GeForce RTX 5090 (-6%) · compare head-to-head

← All AI & Machine Learning GPU rankings

What this card can build

Whole-job timings, composed from our measured per-model results on this card.

Workflow	Time	Energy	Basis
24-frame storyboard	5.5 min	25.57 Wh	all 2 stages measured
6-panel comic page	9.3 min	43.46 Wh	all 3 stages measured
Full codebase review	11.4 min	43.65 Wh	measured
Character sheet, 12 poses	12.6 min	60.12 Wh	all 2 stages measured
20 long-form articles	25.4 min	89.53 Wh	measured
40-product photo shoot	43 min	211.51 Wh	all 2 stages measured
100-photo restoration batch	1 h 37 min	482.35 Wh	measured

Rent or buy?

This card is $6,799 to buy. The cheapest listed rate on RunPod is $0.740/hour, but that is the floor: we budget $0.888/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 7,657 GPU-hours. Below it you are paying for idle silicon.

How you would use it	GPU-hours a year	Rental cost a year	Time to break even
2 hours a day, hobby	730	$648	10.5 years
8 hours a day, working on it	2,920	$2,593	2.6 years
24/7, always-on agent	8,760	$7,779	10.5 months

At hobby usage this card is very unlikely to pay for itself before it is superseded. Rent it. Rental figures include a 20% premium over the cheapest listed rate. Ignores electricity, resale and the fact that a rented card can be a newer one tomorrow.

Rental price

$0.740/hr+0.0% since 2026-08-14low $0.740 · high $0.740

Cheapest of the RunPod and Vast on-demand rates we see, sampled daily. Spot and interruptible pricing runs lower.