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San Francisco Compute

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Short-term supercomputer bursts for large-scale AI training with transparent pricing and exceptional support

San Francisco, United StatesFounded 2023eCommerce & Marketplaces
Valuation $100–500M Latest valuation · 2025
Headcount <100 Current team size
Total funding $50–100M Disclosed equity funding
Unlock exact values This page shows ranges. Dealroom has the exact numbers for San Francisco Compute and the history behind them.

About San Francisco Compute

San Francisco Compute Company specializes in providing short-term access to large-scale supercomputing resources, specifically designed for AI training and inference workloads. Unlike traditional providers that require long-term commitments, SF Compute offers flexible, short-term bursts, making high-performance computing accessible and cost-effective. The company primarily serves academic institutions, startups, and enterprises that require substantial computational power for short periods. Operating in the cloud computing market, SF Compute's business model revolves around renting out high-end GPU clusters, such as H100s, on a short-term basis. This approach allows clients to avoid the hefty costs associated with long-term contracts, paying only for the compute power they need when they need it. Revenue is generated through these rental agreements, which are priced transparently and competitively. SF Compute is known for its exceptional customer service, providing fast and reliable technical support. The company stands out by offering some of the cheapest H100 training clusters in the world, making it an attractive option for those needing powerful computational resources without long-term financial commitments.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2023
Headquarters
San Francisco, United States
Employees
54
Open positions
4
Dealroom signal
92.2/100
Industry
Hosting
Sector
eCommerce & Marketplaces, Core AI, Data Centers, AI Computing Infrastructure
Technology
Artificial Intelligence
Business model
Marketplace & ecommerce
Client focus
b2b

Latest news

Press, funding announcements and product moves mentioning San Francisco Compute.

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Funding history

2 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AOther financing Nov 2025 $40M $300M DCVC · Wing Venture Capital
EARLY VCOther financing Jul 2024 $12M $70M Alt Capital
Showing the latest 2 of 2 recorded eventsBook a demo for the full funding history →

Growth signals

San Francisco Compute website traffic

Latest recorded traffic for San Francisco Compute is 19K monthly website visits, up 58.3% over the last three months. San Francisco Compute's team grew 68.8% over the past year.

Latest monthly visits19K 3-month web change+58.3% 1-year team growth+68.8%
Summary metrics are public; monthly history is available with a demoCompare with peers →

Similar companies

Closest operating peers by Dealroom taxonomy

Company identity and context are open; selected comparison metrics preview what is available on the platform.

Showing 8 of the closest matchesCompare every metric →

Investors

3 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Series A3 investors entered at this stage

  • Alt Capital
  • DCVC
  • Wing Venture Capital
Team profiled 10 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 1 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
4 countries with
team presence
🇺🇸 United States91.4%
🇨🇦 Canada2.9%
🇦🇺 Australia2.9%
🇸🇦 Saudi Arabia2.9%
4 countries shown

Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about San Francisco Compute on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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