San Francisco Compute packages GPU rental with the ability to resell reservation hours that a workload no longer needs. The company says it builds and operates clusters, including infrastructure owned by partners, keeping physical delivery alongside its marketplace. s1, s2
Financing matters. On September 10, SFC announced $245 million of B300 capacity agreements with one unnamed AI company: two contracts lasting 36 months. That is announced contract value, not demonstrated revenue or cash collection. Capacity was scheduled to arrive through the fourth quarter and into 2027. s3
Its September customer account describes Standard Intelligence reselling off-peak hours and Roboflow buying shorter reservations. This is the market: one team’s unused time becomes another team’s burst capacity. s4
Buyers should interrogate the denominator behind SFC’s reported 25% average recovery through resale. Consider a simplified example: reselling one quarter of a reservation at its original hourly rate recovers one quarter of the bill, while surrendering one quarter of the hours. If the remaining hours are fully used, the price per used hour is unchanged before fees. Resale saves money relative to leaving those hours idle; it does not automatically make productive compute cheaper. s5
The current documentation supplies another qualification. Sell orders need a matching buyer. Proceeds arrive as platform credits after variable fees, and selling allocated time can terminate instances. Recovery is conditional, not a guaranteed cancellation payment. s6, s7
PCT’s assessment: SFC is worth watching as an operator that packages capacity with resale flexibility. The missing evidence matters: disclosed customer concentration, realized resale volumes, fee schedules, and fill rates across hardware and delivery windows. The next useful proof is evidence that customers can repeatedly resell unwanted capacity, net of fees, without sacrificing the reliability their workloads require when demand shifts. Those measurements would reveal whether customers still recover meaningful value when many sellers compete for fewer buyers simultaneously.
Sources & provenance
- s1About San Francisco Compute Publication date not specified
Cluster operation and partner-owned infrastructure model.
Complete source metadata
Accessed: 2026-11-03
Type: Company description
Supports: Cluster operation and partner-owned infrastructure model.
- s2Build your cluster Publication date not specified
Customers own hardware and residual value; SFC designs, builds, operates, and offers routes to market.
Complete source metadata
Accessed: 2026-11-03
Type: Company product page
Supports: Customers own hardware and residual value; SFC designs, builds, operates, and offers routes to market.
- s3San Francisco Compute sells $245M worth of compute 2026-09-10
Two 36-month B300 agreements, unnamed customer, announced delivery timing. Not independent contract verification.
Complete source metadata
Published: 2026-09-10
Accessed: 2026-11-03
Type: Company announcement
Supports: Two 36-month B300 agreements, unnamed customer, announced delivery timing. Not independent contract verification.
- s4Standard Intelligence and Roboflow access larger GPU clusters through SF Compute’s resale market 2026-09-28
Reseller and short-term buyer examples; provider share of resale fees. Vendor-hosted evidence, not audited customer usage.
Complete source metadata
Published: 2026-09-28
Accessed: 2026-11-03
Type: Company case study with named customer quotations
Supports: Reseller and short-term buyer examples; provider share of resale fees. Vendor-hosted evidence, not audited customer usage.
- s5The average customer now saves 25% with SFC 2026-09-09
25% average claimed realized discount; its example uses purchased GPU-hours. Does not establish a future guaranteed result.
Complete source metadata
Published: 2026-09-09
Accessed: 2026-11-03
Type: Company performance claim and illustrative guide
Supports: 25% average claimed realized discount; its example uses purchased GPU-hours. Does not establish a future guaranteed result.
- s6Sell unused compute time Publication date not specified
Variable fixed-per-node-hour and percentage fees; proceeds as credits; no buyer guarantee; workload consequences.
Complete source metadata
Accessed: 2026-11-03
Type: Product documentation
Supports: Variable fixed-per-node-hour and percentage fees; proceeds as credits; no buyer guarantee; workload consequences.
- s7Orders Publication date not specified
SKU-specific orders; eight-GPU nodes; no buy-order fees; partial fills and termination mechanics.
Complete source metadata
Accessed: 2026-11-03
Type: Product documentation
Supports: SKU-specific orders; eight-GPU nodes; no buy-order fees; partial fills and termination mechanics.
- s8Terms of Service 2025-11-18
Company-authorized resale, funding requirements, market-data redistribution limitation. Actual enterprise contract may differ.
Complete source metadata
Published: 2025-11-18
Accessed: 2026-11-03
Type: Published contractual terms; last-updated date
Supports: Company-authorized resale, funding requirements, market-data redistribution limitation. Actual enterprise contract may differ.
- s9SF Compute raised a $40M Series A 2025-11-26
$40m round, $300m valuation, DCVC and Wing co-leads; not current valuation or total funding.
Complete source metadata
Published: 2025-11-26
Accessed: 2026-11-03
Type: Company funding announcement
Supports: $40m round, $300m valuation, DCVC and Wing co-leads; not current valuation or total funding.
- s10The San Francisco Compute Company Publication date not specified
Investor confirms relationship; describes owner-operated marketplace and transaction fees. Interested-party source, not independent audit.
Complete source metadata
Accessed: 2026-11-03
Type: Investor portfolio description
Supports: Investor confirms relationship; describes owner-operated marketplace and transaction fees. Interested-party source, not independent audit.
- s11Introducing Elastic InfiniBand Partitions 2026-09-25
Public-preview isolated RDMA partitions for physically colocated instances; feature availability is conditional.
Complete source metadata
Published: 2026-09-25
Accessed: 2026-11-03
Type: Product release announcement
Supports: Public-preview isolated RDMA partitions for physically colocated instances; feature availability is conditional.
- s12GPU clusters / Specs Publication date not specified
VMs, bare metal, managed Slurm and support. FAQ still contains a Q3 2026 future-tense InfiniBand statement.
Complete source metadata
Accessed: 2026-11-03
Type: Company product page
Supports: VMs, bare metal, managed Slurm and support. FAQ still contains a Q3 2026 future-tense InfiniBand statement.
The complete research record.
Read the original facts, inferences, unknowns, licensing status and correction history in this article’s structured object.
Article JSON Correction policyArticle rights & reuse
PCT original text: unpublished, license not yet selected. Source material remains owned by its rights holders; no blanket republication permission assumed.