DEPLOYDatabase

Company

RunPod

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…

Founded
2022
HQ
San Francisco, California, USA (remote-first; original operations in Louisville, Kentucky)
Status
active

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

2022

Headquarters

San Francisco, California; remote-first team across US, Canada, Europe, India

Founders

GPU SKUs offered

30+ SKUs including Nvidia B200, H200, H100 (PCIe/SXM/NVL), A100, L40S, RTX 4090; MI300X not listed on the public price sheet

Announced hourly pricing

B200 $6.79/hr; H200 $4.59/hr; H100 SXM $3.29/hr; H100 PCIe $2.89/hr; A100 SXM $1.59/hr (Secure Cloud on-demand); Community Cloud roughly $1.00-$1.50/hr cheaper per SKU

Datacenter footprint

~31 global regions delivered through third-party colocation partners plus a Community Cloud marketplace of vetted third-party GPU operators; no disclosed owned campuses or MW capacity

Positioning

Both training and inference, but inference/long-tail developer weighted; serverless endpoints with sub-200ms cold starts and training clusters up to 200+ GPUs on InfiniBand

Disclosed customers

Cursor, Cognition, Replit, Perplexity, Hugging Face, Civit AI; company claims 1M+ developers on platform

Silicon partners

Nvidia primary (full lineup through B200); AMD not on public price sheet as of Aug 2026

Public/private status

Private

Data & sources

Web sources

4

4 sources backing this record.View all →

RunPod on the deployment map

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Current leadership (2)

Safety record

No incidents on record for RunPod.

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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)

AI data centers RunPod operates or is a party to, from the DEPLOY data center registry.