NVIDIA RTX 2000 Ada Generation, AI & Machine Learning Benchmarks & Specs

16GB · AI Score 3.1/100 · first-party measured on 12 AI workloads

3.1 AI Score ✓ Measured

Every number on this page is first-party: NVIDIA RTX 2000 Ada Generation was run on our pinned 12-workload AI suite on 2026-07-11, with under 0.5% run-to-run variance. On Llama 3.1 8B (Q4_K_M) NVIDIA RTX 2000 Ada Generation delivers about 43.08 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 16GB. For image generation, SDXL runs at 1.79 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 6 of the 12 workloads won't fit on 16GB at the tested precision, Qwen3 32B, Llama 3.3 70B, FLUX.1-dev, FLUX.1 Kontext and others. We publish those as hard gates rather than quietly dropping to a smaller quant. NVIDIA RTX 2000 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 4B70.88

Llama 3.1 8B43.08

Qwen2.5-Coder 14B23.35

Workload	Result	Telemetry	Data
Qwen3 4B	70.88 tok/s	2.8 GB peak35 W50°C2.03 tok/WQ4_K_M	✓ Measured
Llama 3.1 8B	43.08 tok/s	4.7 GB peak44 W54°C0.97 tok/WQ4_K_M	✓ Measured
Qwen2.5-Coder 14B	23.35 tok/s	8.5 GB peak46 W58°C0.51 tok/WQ4_K_M	✓ Measured
Qwen3 32B	✕ Won't fit needs ~23 GB	VRAM-gated at this precision	✓ Measured
Llama 3.3 70B	✕ Won't fit needs ~46 GB	VRAM-gated at this precision	✓ Measured

Image Generation images/min 2

Workload	Result	Telemetry	Data
Stable Diffusion XL	3.58 images/min	14.5 GB peak68 W60°C16.8 s/img	✓ Measured
FLUX.1 dev	✕ Won't fit needs ~26 GB	VRAM-gated at this precision	✓ Measured

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	✕ Won't fit needs ~26 GB	VRAM-gated at this precision	✓ Measured
Qwen-Image-Edit	✕ Won't fit needs ~42 GB	VRAM-gated at this precision	✓ Measured

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	1.39 frames/s	9.1 GB peak60 W61°C70 s/clip	✓ Measured
Wan 2.2 5B (720p)	✕ Won't fit needs ~18 GB	VRAM-gated at this precision	✓ 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 2026-07-11 · harness 2.0.0-standalone.

NVIDIA RTX 2000 Ada Generation specifications

Architecture	Ada Lovelace
CUDA cores	2,816
VRAM	16GB GDDR6
Memory bus	128-bit
Memory bandwidth	224 GB/s
Boost clock	2,130 MHz
TDP	70 W
Process	TSMC 4N
Interface	PCIe 4.0 x8
Release date	2024-02-12
Launch MSRP	$625

Verdict, capable, but 16GB sets the ceiling

NVIDIA RTX 2000 Ada Generation scores 3.1/100, #67 of 102. It ran 5 of 12; 6 exceeded its 16GB. Every figure here is our own measurement.

Relative performance: where the NVIDIA RTX 2000 Ada Generation lands

100% = this card, AI & Machine Learning headline metric (AI Score). #18 of 20 desktop cards in this vertical.

GPU	%	AI Score
AMD Radeon Pro W6800	177%	5.5
NVIDIA RTX A4500	165%	5.1
NVIDIA RTX A4000	132%	4.1
NVIDIA Quadro RTX 5000	113%	3.5
NVIDIA RTX 2000 Ada Generation	100%	3.1
Intel Arc Pro A60	74%	2.3
NVIDIA RTX A2000	42%	1.3

One tier up: NVIDIA Quadro RTX 5000 (+13%)
One tier down: Intel Arc Pro A60 (-26%)

← 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
Full codebase review	42.8 min	32.76 Wh	measured

Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).

Rent or buy?

This card is $625 to buy. The cheapest listed rate on RunPod is $0.240/hour, but that is the floor: we budget $0.288/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 2,170 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	$210	3.0 years
8 hours a day, working on it	2,920	$841	8.9 months
24/7, always-on agent	8,760	$2,523	3.0 months

At steady usage this card pays for itself inside a normal ownership window. 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

$0.240/hr+0.0% since 2026-08-14low $0.240 · high $0.240

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