NVIDIA RTX 5880 Ada Generation, AI & Machine Learning Benchmarks & Specs

48GB · AI Score 13.3/100 · anchored estimate vs 51 measured cards

14.7 AI Score Includes estimates

We have not run NVIDIA RTX 5880 Ada Generation on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure. On Llama 3.1 8B (Q4_K_M) NVIDIA RTX 5880 Ada Generation should deliver about 118.3 tokens/sec. Stepping up to Qwen3 32B it should hold roughly 28 tok/s. The full Llama 3.3 70B still runs, at about 13.5 tok/s. For image generation, SDXL should run near 4.98 it/s, and FLUX.1-dev at 0.42 it/s. All 12 workloads fit in 48GB. There is no model in our suite this card has to turn down.

AI & Machine Learning benchmark results

Text Generation tok/s 10

gpt-oss-20b260.6

Qwen3 30B A3B247.25

Qwen3-4B242.09

Llama-3.1-8B157.15

Qwen3 8B151.98

Gemma 4 12B96.49

Qwen3 14B88.73

Qwen2.5-Coder-14B86.43

Qwen3-32B40.79

Llama 3.3 70B13.5

Workload	Result	Telemetry	Data
Qwen3-4B	242.09 tok/s	160 W54°CQ4_K_M	✓ Measured
Llama-3.1-8B	157.15 tok/s	187 W55°CQ4_K_M	✓ Measured
Qwen3 8B	151.98 tok/s	189 W57°CQ4_K_M	✓ Measured
Gemma 4 12B	96.49 tok/s	200 W58°CQ4_K_M	✓ Measured
Qwen2.5-Coder-14B	86.43 tok/s	211 W59°CQ4_K_M	✓ Measured
Qwen3 14B	88.73 tok/s	207 W59°CQ4_K_M	✓ Measured
gpt-oss-20b	260.6 tok/s	141 W57°CQ4_K_M	✓ Measured
Qwen3 30B A3B	247.25 tok/s	132 W58°CQ4_K_M	✓ Measured
Qwen3-32B	40.79 tok/s	222 W61°CQ4_K_M	✓ Measured
Llama 3.3 70B	13.5 tok/s	estimated	Est.

Image Generation images/min 3

Stable Diffusion XL9.96

Z-Image Turbo3.24

FLUX.1 dev0.89

Workload	Result	Telemetry	Data
Stable Diffusion XL	9.96 images/min	estimated	Est.
FLUX.1 dev	0.89 images/min	estimated	Est.
Z-Image Turbo	3.24 images/min	estimated	Est.

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	0.49 images/min	estimated	Est.
Qwen-Image-Edit	0.17 images/min	estimated	Est.

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	2.49 frames/s	estimated	Est.
Wan 2.2 5B (720p)	0.26 frames/s	estimated	Est.

How this estimate is derived. This card hasn’t been through our bench yet, so its numbers are anchored estimates, interpolated from the 51 first-party measured cards (Bandwidth Theil-Sen ladder off NVIDIA anchors × vendor factor (diffusion slot corrected (below the measured RTX 6000 Ada)); measured VRAM floors; recalibrated 2026-09-19 against published llama.cpp (CUDA/ROCm/Vulkan/SYCL) and Stable Diffusion results.). The VRAM “won’t fit” gates are exact, since they’re pure capacity limits. Estimates are replaced with measured data as more silicon goes through the bench. Full methodology →

NVIDIA RTX 5880 Ada Generation specifications

Architecture	Ada Lovelace
CUDA cores	14,080
VRAM	48GB GDDR6 ECC
Memory bus	384-bit
Memory bandwidth	960 GB/s
Boost clock	2,460 MHz
TDP	285 W
Process	4nm (NVIDIA custom 4N)
Interface	PCIe 4.0 x16
Release date	2024-01-01
Launch MSRP	$6,500

Verdict, NVIDIA RTX 5880 Ada Generation on real AI workloads

NVIDIA RTX 5880 Ada Generation scores 13.3/100, #25 of 102. It ran all 12 workloads. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the NVIDIA RTX 5880 Ada Generation lands

100% = this card, AI & Machine Learning headline metric (AI Score). #3 of 61 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA RTX 6000 Ada Generation	162%	23.8
NVIDIA GeForce RTX 5090	152%	22.3
NVIDIA RTX 5880 Ada Generation	100%	14.7
NVIDIA RTX 5000 Ada Generation	75%	11
NVIDIA GeForce RTX 4090	72%	10.6
NVIDIA GeForce RTX 3090 Ti	58%	8.5
NVIDIA Titan RTX	56%	8.2

One tier up: NVIDIA GeForce RTX 5090 (+52%) · compare head-to-head
One tier down: NVIDIA RTX 5000 Ada Generation (-25%) · compare head-to-head

← All AI & Machine Learning GPU rankings

The silicon

Transistors	76,300 million
Die size	608.4 mm²
Process node	4 nm
Fabricated by	TSMC
Transistor density	125.4 million per mm²

Denser than 97% of the 746 cards we have silicon data for. Density is the clearest measure of what a process node bought: a card that gained it without growing the die got its speed from the fab rather than the architecture.

Silicon figures from Wikipedia (CC BY-SA 4.0). Benchmarks on this page are our own. Compare every chip.

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	8 min	2.12 Wh	estimate, 1 of 2 stages measured
Full codebase review	11.6 min	40.59 Wh	measured
60-second AI short film	11.7 min	1.36 Wh	estimate, 1 of 3 stages measured
6-panel comic page	19.3 min	1.06 Wh	estimate, 1 of 3 stages measured
Character sheet, 12 poses	25.6 min	n/a	estimate, 0 of 2 stages measured
Long-form article batch	34.6 min	n/a	estimate, 0 of 1 stage measured
Short social clips	34.8 min	0.76 Wh	estimate, 1 of 3 stages measured
Product photo shoot	85.6 min	n/a	estimate, 0 of 2 stages measured
Photo restoration batch	3 h 24 min	n/a	estimate, 0 of 1 stage measured

Rent or buy?

This card is $6,500 to buy. The cheapest listed rate on Vast.ai is $0.804/hour, but that is the floor: we budget $0.965/hour, a 20% premium, because idle time, storage and unavailable cheap instances all land on the same bill. At that rate buying wins after 6,737 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	$704	9.2 years
8 hours a day, working on it	2,920	$2,817	2.3 years
24/7, always-on agent	8,760	$8,452	9.2 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

$0.804/hr+20.0% since 2026-09-30low $0.488 · high $0.804

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