NVIDIA A2 vs NVIDIA GeForce RTX 5080 — GPU Comparison (Jul 2026)
NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere) vs NVIDIA GeForce RTX 5080 (16GB GDDR7, 56 TFLOPS FP16, Blackwell). Cloud pricing: NVIDIA A2 from $0.22/hr. Compare specs, VRAM, performance, and pricing across 1 cloud providers to find the best GPU for your AI workload.
Bottom Line: NVIDIA A2 vs NVIDIA GeForce RTX 5080
NVIDIA GeForce RTX 5080 comes out ahead overall, leading in 4 of 5 compared categories.
Where NVIDIA A2 leads
- TDP (60W vs 360W)
Where NVIDIA GeForce RTX 5080 leads
- FP16 (56 TFLOPS vs 18 TFLOPS)
- Memory Bandwidth (960 GB/s vs 200 GB/s)
- FP32 (28 TFLOPS vs 4.5 TFLOPS)
- Release Year (2025 vs 2021)
Choose NVIDIA A2 for Edge inference, entry-level AI. Choose NVIDIA GeForce RTX 5080 for Gaming, inference, fine-tuning.
Frequently Asked Questions
Is NVIDIA A2 or NVIDIA GeForce RTX 5080 better?
NVIDIA GeForce RTX 5080 leads in 4 of 5 compared categories. The right choice still depends on the factors that matter most to you.
Which has a better FP16, NVIDIA A2 or NVIDIA GeForce RTX 5080?
NVIDIA GeForce RTX 5080 (56 TFLOPS vs 18 TFLOPS).
Which has a better Memory Bandwidth, NVIDIA A2 or NVIDIA GeForce RTX 5080?
NVIDIA GeForce RTX 5080 (960 GB/s vs 200 GB/s).
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NVIDIA A2
16GB GDDR6 · Ampere
|
NVIDIA GeForce RTX 5080
16GB GDDR7 · Blackwell
|
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Blackwell | |
| VRAM | 16 GB GDDR6 | 16 GB GDDR7 | |
| Memory Bandwidth | 200 GB/s | 960 GB/s | |
| FP16 (Tensor) | 18.0 TFLOPS | 56.0 TFLOPS | |
| FP32 | 4.5 TFLOPS | 28.0 TFLOPS | |
| TDP | 60W | 360W | |
| Release Year | 2021 | 2025 | |
| Segment | Data center | Consumer | |
| Best For | Edge inference entry-level AI | Gaming inference fine-tuning | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.22/hr | — | |
| Cheapest Spot | — | — | |
| Providers | 1 | 0 | |
| Provider Pricing (On-Demand) | |||
|
$0.22/hr | N/A | |
NVIDIA A2
NVIDIA GeForce RTX 5080