AMD Instinct MI350X vs NVIDIA GB200 Superchip — GPU Comparison (Jul 2026)
AMD Instinct MI350X (288GB HBM3e, 1,800 TFLOPS FP16, CDNA 4) vs NVIDIA GB200 Superchip (384GB HBM3e, 4,500 TFLOPS FP16, Blackwell)
Bottom Line: AMD Instinct MI350X vs NVIDIA GB200 Superchip
NVIDIA GB200 Superchip comes out ahead overall, leading in 4 of 6 compared categories.
Where AMD Instinct MI350X leads
- Release Year (2025 vs 2024)
- TDP (1000W vs 2700W)
Where NVIDIA GB200 Superchip leads
- FP16 (4,500 TFLOPS vs 1,800 TFLOPS)
- VRAM (384 GB vs 288 GB)
- Memory Bandwidth (16,000 GB/s vs 8,000 GB/s)
- FP32 (150 TFLOPS vs 72 TFLOPS)
Choose AMD Instinct MI350X for Next-gen AI training, inference at scale. Choose NVIDIA GB200 Superchip for Largest-scale AI training, multi-trillion parameter models.
Frequently Asked Questions
Is AMD Instinct MI350X or NVIDIA GB200 Superchip better?
NVIDIA GB200 Superchip 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 GB200 Superchip?
NVIDIA GB200 Superchip (4,500 TFLOPS vs 1,800 TFLOPS).
Which has a better VRAM, AMD Instinct MI350X or NVIDIA GB200 Superchip?
NVIDIA GB200 Superchip (384 GB vs 288 GB).
|
AMD Instinct MI350X
288GB HBM3e · CDNA 4
|
NVIDIA GB200 Superchip
384GB HBM3e · Blackwell
|
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|---|---|---|---|
| Specifications | |||
| Manufacturer | AMD | NVIDIA | |
| Architecture | CDNA 4 | Blackwell | |
| VRAM | 288 GB HBM3e | 384 GB HBM3e | |
| Memory Bandwidth | 8,000 GB/s | 16,000 GB/s | |
| FP16 (Tensor) | 1800.0 TFLOPS | 4500.0 TFLOPS | |
| FP32 | 72.0 TFLOPS | 150.0 TFLOPS | |
| TDP | 1000W | 2700W | |
| Release Year | 2025 | 2024 | |
| Segment | Data center | Data center | |
| Best For | Next-gen AI training inference at scale | Largest-scale AI training multi-trillion parameter models | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | — | |
| Cheapest Spot | — | — | |
| Providers | 1 | 0 | |
AMD Instinct MI350X
NVIDIA GB200 Superchip