Blackwell Ultra B300 vs TPU v7 Ironwood
Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.
Blackwell Ultra B300
100
Spec Wins
TPU v7 Ironwood
95
Detailed Specifications
Blackwell Ultra B300 — Best For
TPU v7 Ironwood — Best For
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 4,614 TFLOPS)
- ✓Running Trillion-Parameter Training workloads
- ✓Running AGI Research workloads
- ✓Running Sovereign AI workloads
Choose TPU v7 Ironwood if you…
- ✓Have power-constrained data centers (1000W vs 1400W TDP)
- ✓Running Frontier Training workloads
- ✓Running Large-Scale Inference workloads
- ✓Running JAX workloads
Verdict
The Blackwell Ultra B300 and TPU v7 Ironwood 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 TPU v7 Ironwood's 4,614 TFLOPS. Teams already invested in the NVIDIA/CUDA ecosystem will have less friction with the Blackwell Ultra B300, while teams open to JAX can benefit from the TPU v7 Ironwood'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 TPU v7 Ironwood: Common Questions
Which is faster, Blackwell Ultra B300 or TPU v7 Ironwood?+
In FP8 throughput, the Blackwell Ultra B300 leads with 7,000 TFLOPS vs 4,614 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 TPU v7 Ironwood 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 TPU v7 Ironwood?+
Pricing for these GPUs varies by vendor and availability. Check our Buy page for current reseller pricing and cloud rental costs.
Which GPU is more power efficient, Blackwell Ultra B300 or TPU v7 Ironwood?+
The TPU v7 Ironwood has a lower TDP (1000W vs 1400W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Blackwell Ultra B300 = 5.0 TFLOPS/W vs TPU v7 Ironwood = 4.6 TFLOPS/W.