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Blackwell Ultra B300 vs Instinct MI300X

Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.

NVIDIA

Blackwell Ultra B300

100

Spec Wins

AMD

Instinct MI300X

65

Detailed Specifications

SpecBlackwell Ultra B300Instinct MI300X
ArchitectureBlackwell Ultra CDNA 3
Memory288GB HBM3e 192GB HBM3
Memory Bandwidth12,000 GB/s 5,300 GB/s
FP16 TFLOPS3,500 1,307
FP8 TFLOPS7,000 2,614
BF16 TFLOPS3,500 1,307
INT8 TOPS14,000 2,614
TDP1400W 750W
InterconnectNVLink 5.0 (1800 GB/s) (1800 GB/s) Infinity Fabric (896 GB/s) (896 GB/s)
Perf Score100 65
EcosystemCUDA ROCM
Est. Price$40,000 $15,000

Blackwell Ultra B300 — Best For

Trillion-Parameter TrainingAGI ResearchSovereign AI

Instinct MI300X — Best For

Large ModelsCost-Effective Training

Who Should Choose Each GPU?

Choose Blackwell Ultra B300 if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Need more VRAM (288GB vs 192GB) for large model inference
  • Prioritize raw FP8 throughput (7,000 vs 2,614 TFLOPS)
  • Running Trillion-Parameter Training workloads
  • Running AGI Research workloads
  • Running Sovereign AI workloads

Choose Instinct MI300X if you…

  • Have power-constrained data centers (750W vs 1400W TDP)
  • Working with a tighter CapEx budget (lower list price)
  • Running Large Models workloads
  • Running Cost-Effective Training workloads

Verdict

The Blackwell Ultra B300 and Instinct MI300X target different priorities. The Blackwell Ultra B300's 288GB of HBM3e gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. For training throughput, the Blackwell Ultra B300's 7,000 FP8 TFLOPS outpaces the Instinct MI300X's 2,614 TFLOPS. Teams already invested in the NVIDIA/CUDA ecosystem will have less friction with the Blackwell Ultra B300, while teams open to ROCM can benefit from the Instinct MI300X's advantages. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.

Blackwell Ultra B300 vs Instinct MI300X: Common Questions

Which is faster, Blackwell Ultra B300 or Instinct MI300X?+

In FP8 throughput, the Blackwell Ultra B300 leads with 7,000 TFLOPS vs 2,614 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Blackwell Ultra B300 has more VRAM (288GB).

Is Blackwell Ultra B300 or Instinct MI300X better for LLM training?+

For LLM training at scale, the Blackwell Ultra B300 has higher raw throughput. However, the choice also depends on your software stack: Blackwell Ultra B300 offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Blackwell Ultra B300 and Instinct MI300X?+

The Blackwell Ultra B300 is estimated at $40,000 per unit and the Instinct MI300X at $15,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, Blackwell Ultra B300 or Instinct MI300X?+

The Instinct MI300X has a lower TDP (750W vs 1400W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Blackwell Ultra B300 = 5.0 TFLOPS/W vs Instinct MI300X = 3.5 TFLOPS/W.

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