NVIDIA A10G vs NVIDIA GeForce RTX 4080 SUPER — GPU Comparison (Jul 2026)
NVIDIA A10G (24GB GDDR6, 70 TFLOPS FP16, Ampere) vs NVIDIA GeForce RTX 4080 SUPER (16GB GDDR6X, 52.4 TFLOPS FP16, Ada Lovelace)
Bottom Line: NVIDIA A10G vs NVIDIA GeForce RTX 4080 SUPER
NVIDIA A10G comes out ahead overall, leading in 4 of 6 compared categories.
Where NVIDIA A10G leads
- FP16 (70 TFLOPS vs 52.4 TFLOPS)
- VRAM (24 GB vs 16 GB)
- FP32 (35 TFLOPS vs 26.2 TFLOPS)
- TDP (300W vs 320W)
Where NVIDIA GeForce RTX 4080 SUPER leads
- Memory Bandwidth (736 GB/s vs 600 GB/s)
- Release Year (2024 vs 2021)
Choose NVIDIA A10G for Inference, graphics rendering, AI-accelerated workloads. Choose NVIDIA GeForce RTX 4080 SUPER for Gaming, inference, fine-tuning.
Frequently Asked Questions
Is NVIDIA A10G or NVIDIA GeForce RTX 4080 SUPER better?
NVIDIA A10G leads in 4 of 6 compared categories. The right choice still depends on the factors that matter most to you.
Which has a better FP16, NVIDIA A10G or NVIDIA GeForce RTX 4080 SUPER?
NVIDIA A10G (70 TFLOPS vs 52.4 TFLOPS).
Which has a better VRAM, NVIDIA A10G or NVIDIA GeForce RTX 4080 SUPER?
NVIDIA A10G (24 GB vs 16 GB).
|
NVIDIA A10G
24GB GDDR6 · Ampere
|
NVIDIA GeForce RTX 4080 SUPER
16GB GDDR6X · Ada Lovelace
|
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Ada Lovelace | |
| VRAM | 24 GB GDDR6 | 16 GB GDDR6X | |
| Memory Bandwidth | 600 GB/s | 736 GB/s | |
| FP16 (Tensor) | 70.0 TFLOPS | 52.4 TFLOPS | |
| FP32 | 35.0 TFLOPS | 26.2 TFLOPS | |
| TDP | 300W | 320W | |
| Release Year | 2021 | 2024 | |
| Segment | Data center | Consumer | |
| Best For | Inference graphics rendering AI-accelerated workloads | Gaming inference fine-tuning | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | — | |
| Cheapest Spot | — | — | |
| Providers | 0 | 0 | |
NVIDIA A10G
NVIDIA GeForce RTX 4080 SUPER