With H200 supply falling short of demand, customers are increasingly evaluating adjacent SKUs. Here is our rubric for picking the right alternative per workload.
When to pick which
- Frontier training (1T+ parameters): B200 / B300 — the 288 GB HBM per card and 800 Gb/s fabric-ready design are worth the premium.
- Large-model serving (70B–700B): H100 or H800 in an 8-way node remains competitive once tokenizer optimizations are applied.
- Cost-optimized inference: H20 or L40 — 40–60% lower cost per million tokens served than H100 for RAG-heavy workloads.
The right choice depends on your quantization strategy, batch sizes, and the compositional complexity of your serving graph. Talk to us for a tailored recommendation.