NVIDIA A10G vs NVIDIA A2 — GPU Comparison (Jul 2026)
NVIDIA A10G (24GB GDDR6, 70 TFLOPS FP16, Ampere) vs NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere). 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 A10G vs NVIDIA A2
NVIDIA A10G comes out ahead overall, leading in 4 of 5 compared categories.
Where NVIDIA A10G leads
- FP16 (70 TFLOPS vs 18 TFLOPS)
- VRAM (24 GB vs 16 GB)
- Memory Bandwidth (600 GB/s vs 200 GB/s)
- FP32 (35 TFLOPS vs 4.5 TFLOPS)
Where NVIDIA A2 leads
- TDP (60W vs 300W)
Choose NVIDIA A10G for Inference, graphics rendering, AI-accelerated workloads. Choose NVIDIA A2 for Edge inference, entry-level AI.
Frequently Asked Questions
Is NVIDIA A10G or NVIDIA A2 better?
NVIDIA A10G 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 A10G or NVIDIA A2?
NVIDIA A10G (70 TFLOPS vs 18 TFLOPS).
Which has a better VRAM, NVIDIA A10G or NVIDIA A2?
NVIDIA A10G (24 GB vs 16 GB).
|
NVIDIA A10G
24GB GDDR6 · Ampere
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NVIDIA A2
16GB GDDR6 · Ampere
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Ampere | |
| VRAM | 24 GB GDDR6 | 16 GB GDDR6 | |
| Memory Bandwidth | 600 GB/s | 200 GB/s | |
| FP16 (Tensor) | 70.0 TFLOPS | 18.0 TFLOPS | |
| FP32 | 35.0 TFLOPS | 4.5 TFLOPS | |
| TDP | 300W | 60W | |
| Release Year | 2021 | 2021 | |
| Segment | Data center | Data center | |
| Best For | Inference graphics rendering AI-accelerated workloads | Edge inference entry-level AI | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | $0.22/hr | |
| Cheapest Spot | — | — | |
| Providers | 0 | 1 | |
| Provider Pricing (On-Demand) | |||
|
N/A | $0.22/hr | |
NVIDIA A10G
NVIDIA A2