AMD Instinct MI350X vs NVIDIA A2 — GPU Comparison (Jul 2026)
AMD Instinct MI350X (288GB HBM3e, 1,800 TFLOPS FP16, CDNA 4) 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: AMD Instinct MI350X vs NVIDIA A2
AMD Instinct MI350X comes out ahead overall, leading in 5 of 6 compared categories.
Where AMD Instinct MI350X leads
- FP16 (1,800 TFLOPS vs 18 TFLOPS)
- VRAM (288 GB vs 16 GB)
- Memory Bandwidth (8,000 GB/s vs 200 GB/s)
- FP32 (72 TFLOPS vs 4.5 TFLOPS)
- Release Year (2025 vs 2021)
Where NVIDIA A2 leads
- TDP (60W vs 1000W)
Choose AMD Instinct MI350X for Next-gen AI training, inference at scale. Choose NVIDIA A2 for Edge inference, entry-level AI.
Frequently Asked Questions
Is AMD Instinct MI350X or NVIDIA A2 better?
AMD Instinct MI350X 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, AMD Instinct MI350X or NVIDIA A2?
AMD Instinct MI350X (1,800 TFLOPS vs 18 TFLOPS).
Which has a better VRAM, AMD Instinct MI350X or NVIDIA A2?
AMD Instinct MI350X (288 GB vs 16 GB).
|
AMD Instinct MI350X
288GB HBM3e · CDNA 4
|
NVIDIA A2
16GB GDDR6 · Ampere
|
||
|---|---|---|---|
| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 4 | Ampere | |
| VRAM | 288 GB HBM3e | 16 GB GDDR6 | |
| Memory Bandwidth | 8,000 GB/s | 200 GB/s | |
| FP16 (Tensor) | 1800.0 TFLOPS | 18.0 TFLOPS | |
| FP32 | 72.0 TFLOPS | 4.5 TFLOPS | |
| TDP | 1000W | 60W | |
| Release Year | 2025 | 2021 | |
| Segment | Data center | Data center | |
| Best For | Next-gen AI training inference at scale | Edge inference entry-level AI | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | $0.22/hr | |
| Cheapest Spot | — | — | |
| Providers | 1 | 1 | |
| Provider Pricing (On-Demand) | |||
|
N/A | $0.22/hr | |
AMD Instinct MI350X
NVIDIA A2