DEPLOYDatabase

Company

DeepInfra

DeepInfra is an inference-focused GPU cloud that runs open-weight and open-source models (Llama, Qwen, DeepSeek, Kimi, GLM, Nemotron, Mistral, IBM Granite, and…

Founded
2022
HQ
Palo Alto, California, USA
Status
active

The verified answer

As of Aug 2026, DEPLOY verifies DeepInfra: $107.0M raised. 4 sources back the record.

Funding

$107.0M

Employees

30

Overview

DeepInfra is an inference-focused GPU cloud that runs open-weight and open-source models (Llama, Qwen, DeepSeek, Kimi, GLM, Nemotron, Mistral, IBM Granite, and 100+ others) behind a pay-as-you-go API. Founded in September 2022 in Palo Alto by Nikola Borisov (CEO), Georgios Papoutsis, and Yessenzhar Kanapin, the team previously ran the infrastructure behind the imo messenger, which processed billions of messages a day for over 200 million monthly users. That operator DNA is the pitch: squeeze open-weight inference far below hyperscaler list price and hand developers a token meter instead of an instance bill.

Unlike training-oriented neoclouds such as CoreWeave or Crusoe, DeepInfra explicitly positions on the inference side of the split: serverless per-token endpoints for the long tail of open models, plus a "DeepCluster" dedicated-GPU tier for customers who want SXM-connected A100, H100, H200, B200, and B300 boxes on weekly invoicing. Advertised dedicated pricing runs $0.89/hr for an A100 80GB, $2.20/hr for an H100 80GB, $2.69/hr for an H200, $3.69/hr for a B200, and $4.89/hr for a B300, with the company claiming roughly 70% savings versus public-cloud on-demand rates. Infrastructure sits in what the company describes as its own inference-optimized fleet inside secure US-based data centers; it has not publicly disclosed a GPU count, MW footprint, or colocation partners.

DeepInfra raised a $107 million Series B in 2026 to expand the fleet, on top of an earlier Series A that included NVIDIA, A Capital, Felicis, 500 Global, SV Angel, Crescent Cove, and PEAK6. Public reference customers include Salesforce, Hugging Face, Abacus.AI, interface.ai, and Requesty. The company holds SOC 2 and ISO 27001 and markets a zero-retention policy, and is leaning into data-sovereignty framing for regulated buyers who want open-weight models rather than proprietary APIs.

Reality check

Cost claim vs public cloud

DeepCluster dedicated hardware advertised at ~70% savings vs public-cloud equivalents

Verified record

Verified deployments
None on file
Active incidents
None on file

Key facts

Headquarters

Palo Alto, California

Founded

September 2022 by Nikola Borisov, Georgios Papoutsis, and Yessenzhar Kanapin (ex-imo messenger infra team)

Positioning

Inference-focused GPU cloud for open-weight models (Llama, Qwen, DeepSeek, Kimi, GLM, Nemotron, Mistral, Granite); per-token serverless plus DeepCluster dedicated tier

Latest funding

$107M Series B announced in 2026; earlier Series A backed by NVIDIA, A Capital, Felicis, 500 Global, SV Angel, Crescent Cove, PEAK6

GPU inventory

Not publicly disclosed; company describes its own inference-optimized fleet in US-based data centers. No MW or campus-level footprint disclosed.

Dedicated GPU pricing (SXM, on-demand)

A100 80GB $0.89/hr, H100 80GB $2.20/hr, H200 141GB $2.69/hr, B200 180GB $3.69/hr, B300 270GB $4.89/hr; weekly invoicing

Silicon partnerships

NVIDIA (A100/H100/H200/B200/B300 across the fleet; NVIDIA also a strategic investor). No disclosed AMD, Cerebras, Intel Gaudi, or custom-silicon program.

Named customers

Salesforce, Hugging Face, Abacus.AI, interface.ai, Requesty

Model catalog

100+ open-weight and open-source models: text generation, embeddings, ASR, reranking, TTS, text-to-image, text-to-video

Compliance

SOC 2 and ISO 27001; zero-retention policy on inference traffic

Status

Private; VC-backed

Data & sources

Web sources

4

4 sources backing this record.View all →

DeepInfra on the deployment map

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Current leadership (3)

Safety record

No incidents on record for DeepInfra.

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