NVIDIA A2 vs NVIDIA GB200 Superchip — GPU Comparison (Jul 2026)
NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere) vs NVIDIA GB200 Superchip (384GB HBM3e, 4,500 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 GB200 Superchip
NVIDIA GB200 Superchip comes out ahead overall, leading in 5 of 6 compared categories.
Where NVIDIA A2 leads
- TDP (60W vs 2700W)
Where NVIDIA GB200 Superchip leads
- FP16 (4,500 TFLOPS vs 18 TFLOPS)
- VRAM (384 GB vs 16 GB)
- Memory Bandwidth (16,000 GB/s vs 200 GB/s)
- FP32 (150 TFLOPS vs 4.5 TFLOPS)
- Release Year (2024 vs 2021)
Choose NVIDIA A2 for Edge inference, entry-level AI. Choose NVIDIA GB200 Superchip for Largest-scale AI training, multi-trillion parameter models.
Frequently Asked Questions
Is NVIDIA A2 or NVIDIA GB200 Superchip better?
NVIDIA GB200 Superchip leads in 5 of 6 compared categories. The right choice still depends on the factors that matter most to you.
Which has a better FP16, NVIDIA A2 or NVIDIA GB200 Superchip?
NVIDIA GB200 Superchip (4,500 TFLOPS vs 18 TFLOPS).
Which has a better VRAM, NVIDIA A2 or NVIDIA GB200 Superchip?
NVIDIA GB200 Superchip (384 GB vs 16 GB).
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NVIDIA A2
16GB GDDR6 · Ampere
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NVIDIA GB200 Superchip
384GB HBM3e · Blackwell
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Blackwell | |
| VRAM | 16 GB GDDR6 | 384 GB HBM3e | |
| Memory Bandwidth | 200 GB/s | 16,000 GB/s | |
| FP16 (Tensor) | 18.0 TFLOPS | 4500.0 TFLOPS | |
| FP32 | 4.5 TFLOPS | 150.0 TFLOPS | |
| TDP | 60W | 2700W | |
| Release Year | 2021 | 2024 | |
| Segment | Data center | Data center | |
| Best For | Edge inference entry-level AI | Largest-scale AI training multi-trillion parameter models | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.22/hr | — | |
| Cheapest Spot | — | — | |
| Providers | 1 | 0 | |
| Provider Pricing (On-Demand) | |||
|
$0.22/hr | N/A | |