Which is better for ai & machine learning: GeForce RTX 4060 or NVIDIA A10G?

NVIDIA A10G performs better for ai & machine learning, winning 7 of 11 benchmarks in our suite with an average 81.7% advantage.

What are the main hardware differences between GeForce RTX 4060 and NVIDIA A10G?

GeForce RTX 4060 has 8GB VRAM and a 115W TDP, while NVIDIA A10G has 24GB VRAM and a 150W TDP.

Does VRAM matter more than speed between GeForce RTX 4060 and NVIDIA A10G?

For AI, yes, GeForce RTX 4060 fits 14 more of our 12 workloads than NVIDIA A10G. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.

Where is the biggest performance difference between GeForce RTX 4060 and NVIDIA A10G?

Stable Diffusion XL: NVIDIA A10G leads by roughly 129% (2.78 vs 6.38 images/min) in our testing.

GeForce RTX 4060 vs NVIDIA A10G, AI & Machine Learning Comparison

NVIDIA A10G wins 7 of 11 benchmarks, averaging 81.7% faster.

Both cards were measured first-party on our bench, same suite, same test rig.

What the numbers say

The gap is widest in Stable Diffusion XL, where NVIDIA A10G leads by 129% (2.78 vs 6.38 images/min); the closest fight is Qwen3 4B (50% apart); VRAM decides part of this one: GeForce RTX 4060 runs 137 of our 12 AI workloads while the other card runs 3, models that don't fit score zero.

Benchmark results head-to-head

Benchmark	GeForce RTX 4060	NVIDIA A10G	Difference
Qwen3 4B tok/s	86.38	129.87	-33%
Llama 3.1 8B tok/s	52.4	86.62	-40%
Qwen2.5-Coder 14B tok/s	0	47.07	n/a
Qwen3 32B tok/s	0	22.04	n/a
Llama 3.3 70B tok/s	0	0	n/a
Stable Diffusion XL images/min	2.78	6.38	-56%
Z-Image Turbo images/min	0	3.45	n/a
FLUX.1 dev images/min	0	0	n/a
FLUX.1 Kontext dev images/min	0	0	n/a
Qwen-Image-Edit images/min	0	0	n/a
Wan 2.2 5B (720p) frames/s	0	0.18	n/a

Specifications compared

	GeForce RTX 4060	NVIDIA A10G
VRAM	8GB	24GB
Architecture	Ada Lovelace	Ampere
Memory bandwidth	272 GB/s	600 GB/s
Boost clock	2,475 MHz	1,710 MHz
TDP	115 W	150 W
Launch MSRP	$299	$2,800
Release	2023-05-24	2021-11-01

FAQ

Which is better for ai & machine learning: GeForce RTX 4060 or NVIDIA A10G?: NVIDIA A10G performs better for ai & machine learning, winning 7 of 11 benchmarks in our suite with an average 81.7% advantage.
What are the main hardware differences between GeForce RTX 4060 and NVIDIA A10G?: GeForce RTX 4060 has 8GB VRAM and a 115W TDP, while NVIDIA A10G has 24GB VRAM and a 150W TDP.
Does VRAM matter more than speed between GeForce RTX 4060 and NVIDIA A10G?: For AI, yes, GeForce RTX 4060 fits 14 more of our 12 workloads than NVIDIA A10G. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
Where is the biggest performance difference between GeForce RTX 4060 and NVIDIA A10G?: Stable Diffusion XL: NVIDIA A10G leads by roughly 129% (2.78 vs 6.38 images/min) in our testing.

GeForce RTX 4060 full review · NVIDIA A10G full review · All AI & Machine Learning rankings