Compute as a commodity.
Brokered like one.
Training runs, inference throughput, long-term fleets. One desk sources all three against the live market.
Reserved GPU fleets.
Bare-metal clusters for pre-training and fine-tuning, sourced from 340+ verified providers and priced against the live market.
- ·H100 / H200 / B200 / B300 / GB200
- ·InfiniBand NDR, up to 4,096 GPUs
- ·1-month to multi-year commitments
Reserved throughput.
Dedicated endpoints for production inference. Token-level pricing with guaranteed latency, OpenAI-compatible, no rate limits.
- ·Llama, Mixtral, Qwen, DeepSeek, custom
- ·Dedicated GPUs, not shared pools
- ·SLA-backed p99 latency targets
Strategic capacity.
Multi-quarter reservations with fixed pricing and priority allocation for teams who can't afford to keep renegotiating spot.
- ·1 to 3 year contracts, locked pricing
- ·Priority during supply crunches
- ·Direct DC relationships
From spec to deployed
in a working day.
Most teams burn weeks chasing quotes and still overpay. We canvas the entire market in parallel. Every verified option, ranked by total cost, on your desk in hours.
“We were paying hyperscaler on-demand rates for H100s. ClusterBid came back with a verified bare-metal option at 42% below what we were spending, and the whole thing, spec to deployed cluster, took under six hours.”
One quote.
Every vetted provider.
Spec takes under five minutes. Ranked quotes in under two hours. On hardware or routing tokens inside 24 to 48 hours.