AMD Instinct MI350X vs NVIDIA GH200 Superchip — GPU Comparison (Jul 2026)
AMD Instinct MI350X (288GB HBM3e, 1,800 TFLOPS FP16, CDNA 4) vs NVIDIA GH200 Superchip (96GB HBM3, 989 TFLOPS FP16, Hopper)
Bottom Line: AMD Instinct MI350X vs NVIDIA GH200 Superchip
AMD Instinct MI350X comes out ahead overall, leading in 4 of 6 compared categories.
Where AMD Instinct MI350X leads
- FP16 (1,800 TFLOPS vs 989 TFLOPS)
- VRAM (288 GB vs 96 GB)
- Memory Bandwidth (8,000 GB/s vs 4,000 GB/s)
- Release Year (2025 vs 2023)
Where NVIDIA GH200 Superchip leads
- FP32 (494.5 TFLOPS vs 72 TFLOPS)
- TDP (700W vs 1000W)
Choose AMD Instinct MI350X for Next-gen AI training, inference at scale. Choose NVIDIA GH200 Superchip for Large-scale AI training, HPC.
Frequently Asked Questions
Is AMD Instinct MI350X or NVIDIA GH200 Superchip better?
AMD Instinct MI350X 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, AMD Instinct MI350X or NVIDIA GH200 Superchip?
AMD Instinct MI350X (1,800 TFLOPS vs 989 TFLOPS).
Which has a better VRAM, AMD Instinct MI350X or NVIDIA GH200 Superchip?
AMD Instinct MI350X (288 GB vs 96 GB).
|
AMD Instinct MI350X
288GB HBM3e · CDNA 4
|
NVIDIA GH200 Superchip
96GB HBM3 · Hopper
|
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|---|---|---|---|
| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 4 | Hopper | |
| VRAM | 288 GB HBM3e | 96 GB HBM3 | |
| Memory Bandwidth | 8,000 GB/s | 4,000 GB/s | |
| FP16 (Tensor) | 1800.0 TFLOPS | 989.0 TFLOPS | |
| FP32 | 72.0 TFLOPS | 494.5 TFLOPS | |
| TDP | 1000W | 700W | |
| Release Year | 2025 | 2023 | |
| Segment | Data center | Data center | |
| Best For | Next-gen AI training inference at scale | Large-scale AI training HPC | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | — | |
| Cheapest Spot | — | — | |
| Providers | 1 | 0 | |
AMD Instinct MI350X
NVIDIA GH200 Superchip