Employees
40
Overview
Vast AI runs a two-sided GPU rental marketplace that aggregates compute from independent hosts and small colocation operators, then rents it to researchers, startups, and inference workloads by the second. Unlike hyperscale neoclouds such as CoreWeave or Lambda that own or master-lease their datacenters, Vast is asset-light: the company is the exchange, the hosts own the hardware. That posture puts consumer GPUs (RTX 4090, RTX 3090) alongside datacenter parts (H100, H200, A100) on the same order book, with prices set dynamically by supply and demand across roughly 40-plus datacenters worldwide.
The company was founded in 2016 in Los Angeles by Jake Cannell and Christian Horne on the thesis that compute would become the bottleneck for independent AI research, and that a spot-style market would clear far below hyperscaler list prices. Vast layers three tiers on top of the raw marketplace: an interruptible bid market for batch training, a reserved tier with 1, 3, or 6 month terms, and a "Secure Cloud" that pins jobs to audited datacenters for customers who need compliance guarantees. A serverless inference product sits on top of the same pool.
Vast has stayed small and largely bootstrapped relative to the neocloud pack: roughly 40 employees, no disclosed venture round, and an inventory that is federated across hosts rather than centrally purchased. The tradeoff is that Vast does not compete for hyperscaler anchor contracts or multi-hundred-megawatt buildouts; the customer base is the long tail of researchers, indie developers, and price-sensitive inference workloads that hyperscalers underserve.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Business model
Founded
Headquarters
GPU inventory
Datacenter footprint
Pricing tiers
GPU generation mix
Product tiers
Positioning
Employees
Public/private
Data & sources
Web sources
4
4 sources backing this record.View all →
Current leadership (2)
- Christian Horne Co-founderreported, not verified
- Jake Cannell CEO and Co-founderreported, not verified
Safety record
No incidents on record for Vast AI.
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 →
Financial state
- Employees
- 40as of 2025-01-01(Company About page (self-reported, approximate))
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 28, 2026
Added to the verified registry
Sources (4)
Common questions
What is Vast AI?
What does Vast AI make?
Is Vast AI publicly traded?
Who is the CEO of Vast AI?
How can I invest in Vast AI?
Where is Vast AI headquartered?
Who owns Vast AI?
Is Vast AI a top robotics company?
When was Vast AI founded?
Is Vast AI safe?
Methodology: Verified · 4 sources (no primary) · last reviewed 2026-08-30
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-30
Sources by quality tier
- 4
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Vast AI.Machine-readable surfaces
- Markdown mirror: /companies/vast-ai.md
- RSS feed: /companies/vast-ai/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/c0f955ba-d19a-4d93-9a31-ba9cc37e7668
- Revision history: /companies/vast-ai/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place Vast AI 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: Aug 30, 2026