Overview
SF Compute (The San Francisco Compute Company) runs an order-book GPU market on top of NVIDIA H100 clusters it operates itself with its own virtualization and bare-metal stack, offering VMs, bare metal and managed Slurm. It contracts and directly operates dedicated capacity rather than acting as a hardware-less broker.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Compute
Business model
Series A co-lead
Valuation (reported, unconfirmed)
Data & sources
Web sources
3
3 sources backing this record.View all →
Relationships
Current leadership (1)
- Evan Conrad Co-founder and CEOsecondary-verified
Founders (1)
- Evan Conradcofounder
Safety record
No incidents on record for SF Compute.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Mentioned on (1)
Registry pages whose text names SF Compute.
People (1)
Funding rounds (1)
- Series A
$40M
Investors: DCVC (Data Collective) (co_lead)
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 31, 2026
Added to the verified registry
Sources (3)
- About SF Compute · https://sfcompute.com/about
- SF Compute raises $40m for AI compute market · https://www.datacenterdynamics.com/en/news/sf-compute-raises-40m-for-ai-compute-marketplace-offering/ · 2025-01-01
- https://sfcompute.com/news/sf-compute-series-a
Common questions
What is SF Compute?
What does SF Compute make?
Is SF Compute publicly traded?
Who is the CEO of SF Compute?
How can I invest in SF Compute?
Where is SF Compute headquartered?
Who owns SF Compute?
Is SF Compute a top robotics company?
When was SF Compute founded?
Is SF Compute safe?
Methodology: Verified · 3 sources (no primary) · last reviewed 2026-10-12
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-12
Sources by quality tier
- 3
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for SF Compute.Machine-readable surfaces
- Markdown mirror: /companies/sf-compute.md
- RSS feed: /companies/sf-compute/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/74d9a252-51db-4dd2-b402-3326af02cfab
- Revision history: /companies/sf-compute/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place SF Compute against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Limited public visibility and press coverage relative to peers.
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Oct 14, 2026