SF Compute · Pricing Plans

Sfcompute Plans Pricing

SF Compute is a market, not a fixed-rate cloud. There is no single price per GPU/hour - each block of compute is priced independently by the orderbook, and the rate a buyer pays is whatever clears against open sell orders for the requested instance type, quantity, start window, and duration. The /v0/quote endpoint returns an indicative price for a desired block; published marketing figures (e.g. "H100 nodes from ~$1.94/gpu/hr") are starting points, not contractual rates. Sellers can list unused contract time back to the market. Prices below are reconciled=false because they float with the market.

Sfcompute Plans Pricing is the machine-readable pricing-plan profile for SF Compute on the APIs.io network, conforming to the API Commons Plans specification.

It defines 3 plans, covering usage and enterprise tiers, with named plans including GPU Compute Market, Inference Fleet, Enterprise / Reserved.

Tagged areas include GPU, Compute, Marketplace, H100, and Spot Pricing.

3 Plans API Commons Plans
View Source
GPUComputeMarketplaceH100Spot PricingPlans

Plans

GPU Compute Market usage

Spot-priced market for blocks of GPU-hours. Buyers place buy orders at a price they are willing to pay; orders fill against the orderbook and resolve into contracts. Each block is priced independently - no flat per-GPU-hour rate.

H100 (Kubernetes, h100i) per GPU-hour (gpu_hours · usage) market-priced per block (from ~$1.94/gpu/hr reference); see /v0/quote USD
H100 (Virtual Machine, h100v) per GPU-hour (gpu_hours · usage) market-priced per block; see /v0/quote USD
H200 (Kubernetes, h200ki) per GPU-hour (gpu_hours · usage) market-priced per block; see /v0/quote USD
Reselling (sell unused contract time) (gpu_hours · usage) seller-set price clears against market buy orders USD
Inference Fleet usage

OpenAI-compatible inference served on SF Compute capacity. Pricing follows the underlying GPU capacity used to host the fleet.

Inference Capacity (gpu_hours · usage) derived from underlying market GPU capacity USD
Enterprise / Reserved enterprise

Larger reserved capacity, dedicated clusters, and negotiated terms for sustained pre-training workloads. Contact SF Compute.

Reserved Capacity (contract · usage) contact sales USD

Sources