The verified answer
As of Aug 2026, DEPLOY verifies RunPod: $20.0M raised. 4 sources back the record.
Overview
RunPod is a San Francisco-based GPU cloud that rents Nvidia (and, in Community Cloud form, third-party operator) accelerators by the second, positioning itself squarely at AI developers, small labs, and inference-heavy startups rather than the hyperscale training buyers courted by CoreWeave or Crusoe. The company was founded in 2022 by CEO Zhen Lu and Pardeep Singh and, unusually for the neocloud category, publishes a fixed on-demand price list for every SKU it offers, from a $0.34/hr RTX A4000 up to a $6.79/hr Nvidia B200.\n\nThe platform splits into two products that reflect its long-tail strategy.
Secure Cloud runs in Tier 3/4 partner colocation facilities across roughly 31 global regions; Community Cloud is a marketplace that aggregates spare capacity from vetted third-party GPU operators at lower prices, similar in shape to Vast.ai. Serverless endpoints with sub-200ms cold starts are pitched as the inference primitive, while multi-node InfiniBand clusters up to 200+ GPUs handle fine-tuning and training.
RunPod says it serves more than one million developers, with disclosed customers including Cursor, Cognition, Replit, Perplexity, Hugging Face and Civit AI.\n\nWhat makes RunPod distinctive versus the rest of the neocloud pack is that it never tried to be a hyperscaler. It raised only $20M seed capital in May 2024 (led by Intel Capital, with Dell Technologies Capital) and has, so far, chosen not to burn debt-financed capex on owned campuses; instead it composes capacity from colo partners and community operators and monetizes the software layer (per-second billing, serverless, cold-start optimization). That leaves it structurally lighter and price-transparent, but also without the multi-hundred-megawatt anchor deals that dominate the sector's disclosures.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Founded
Headquarters
Founders
Total fundingsee investors →
GPU SKUs offered
Announced hourly pricing
Datacenter footprint
Positioning
Disclosed customers
Silicon partners
Public/private status
Data & sources
Web sources
4
4 sources backing this record.View all →
RunPod on the deployment map
View the global mapRunPod has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.
No verified deployments for RunPod on the DEPLOY record yet. Track RunPod to know the moment the first one is verified.
Current leadership (2)
- Zhen Lu Co-founder & CEOreported, not verified
- Pardeep Singh Co-founderreported, not verified
Safety record
No incidents on record for RunPod.
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 →
RunPod on the data-center map
Every verified data center RunPod operates that has a mapped coordinate (3 total). Filled circles are Tier-2 facilities and Tier-1 campuses under this operator; click any pin to open its record.
RunPod data centers (3)
- RunPod AP-IN-1Wheatfield · energized
- RunPod US-OR-1Portland, Oregon, USA · energized
- RunPod US-TX-3Naval Air Station Corpus Christi, Texas · energized
AI data centers RunPod operates or is a party to, from the DEPLOY data center registry.
Financial state
- Total funding
- $20.0M
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 RunPod?
What does RunPod make?
Is RunPod publicly traded?
Who is the CEO of RunPod?
How can I invest in RunPod?
Where is RunPod headquartered?
How much funding has RunPod raised?
Who owns RunPod?
Is RunPod a top robotics company?
When was RunPod founded?
Is RunPod safe?
Methodology: Verified · 4 sources (no primary) · last reviewed 2026-08-28
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-28
Sources by quality tier
- 4
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for RunPod.Machine-readable surfaces
- Markdown mirror: /companies/runpod.md
- RSS feed: /companies/runpod/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/2efda7c5-4395-4a15-b28d-186b295cc154
- Revision history: /companies/runpod/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place RunPod against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
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 28, 2026