Deep Infra
DeepInfra is a purpose-built AI inference cloud platform that provides developers and enterprises access to 190+ open-source AI models via an OpenAI-compatible API, operating owned GPU infrastructure across 8 US data centers for low-latency, cost-efficient inference at scale.
- Company typePrivate
- Founded2022
- HeadquartersPalo Alto, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Deep Infra does
DeepInfra is a purpose-built AI inference cloud platform founded in 2022 in Palo Alto by former IMO Messenger engineers. The company owns and operates vertically integrated GPU infrastructure across 8 US data centers, co-designed with NVIDIA Blackwell GPUs and Dynamo inference software, to deliver low-latency, high-throughput inference for always-on production AI workloads. Through an OpenAI-compatible API, DeepInfra provides access to 190+ open-source models spanning text generation, image, video, audio, embeddings, reranking, code, and multimodal modalities from vendors including Anthropic, Google, Meta, Mistral, DeepSeek, Alibaba Qwen, and NVIDIA. The platform processes nearly 5 trillion tokens per week and serves use cases such as agentic AI, RAG pipelines, and code generation, with over 30% of token volume originating from autonomous agent workloads.
The company's product portfolio centers on the core DeepInfra AI Inference Cloud, supplemented by DeepCluster (dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour on 5-year terms, positioned as 70% cheaper than public cloud), GPU Instances for on-demand Blackwell rental, and DeepStart for AI agent capabilities. Revenue is generated primarily through usage-based pay-per-token API pricing for inference services, with a complementary long-duration dedicated-cluster revenue stream for enterprise customers. Go-to-market combines a self-serve developer PLG motion (free signup, API key generation, in-browser model testing) with an enterprise field sales motion for dedicated infrastructure and volume commitments.
DeepInfra has raised approximately $133M across three funding rounds, including an $8M round in November 2023, an $18M Series A led by Felicis in April 2025, and a $107M Series B in May 2026 co-led by 500 Global and Georges Harik with participation from NVIDIA, Samsung Next, and Supermicro. The company is SOC 2 Type II and ISO 27001 certified with a zero data retention policy, and named enterprise customers include Salesforce, Hugging Face, Abacus.AI, Interface.ai, and Requesty. Token processing volume has grown 25x since Series A and revenue tripled since early 2026, indicating a high-growth phase supported by capital and strategic hardware partnerships.
Deep Infra firmographics
Firmographics- Name
- Deep Infra
- Legal name
- DeepInfra
- Website
- https://deepinfra.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- DeepInfra is a purpose-built AI inference cloud platform that provides developers and enterprises access to 190+ open-source AI models via an OpenAI-compatible API, operating owned GPU infrastructure across 8 US data centers for low-latency, cost-efficient inference at scale.
- Ownership category
- akta.pro rank
Deep Infra industry classification
Industry- Product category
- AI Inference Cloud Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (5415)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- Model Deployment, Serving & Inference Platforms (HDAAABAF), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG), GPU-Accelerated & AI Training/Inference Servers (HDACABAG), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where Deep Infra is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Deep Infra business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations
Revenue model
- AI Inference API Services: Pay-as-you-go usage-based pricing for AI model inference through API. Customers pay per million tokens processed for input and output tokens. No upfront fees, no long-term contracts. Supports 100+ open-source models across text generation, image, video, audio, embeddings, and speech categories.
- Dedicated GPU Instance Rental: Enterprise customers can rent dedicated NVIDIA B300 GPU clusters (DeepCluster product) with 256-5,000 GPUs available, 5-year term commitment, at $1.98/GPU-hr vs $6.50/GPU-hr on public cloud (70% cheaper).
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Pay-per-token pricing across 100+ models |
| Usage-based | Multi-year contract | DeepCluster dedicated GPU infrastructure |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels5 records
Deep Infra product offering
Product offeringCore offering
DeepInfra operates a purpose-built AI inference cloud platform that delivers pay-per-token API access to 100+ open-source AI models across text, image, video, audio, code, embeddings, and reranking modalities via OpenAI-compatible REST APIs. The company owns and operates GPU infrastructure across eight U.S. data centers using NVIDIA Blackwell hardware with NVIDIA Dynamo inference software, and supplements its core inference API with DeepCluster dedicated GPU rentals, on-demand GPU Instances, and the DeepStart AI agent product. The platform processes nearly 5 trillion tokens weekly and is specifically optimized for always-on, distributed agentic AI workloads at up to 20x inference cost efficiency versus general-purpose clouds.
Product overview
DeepInfra is a purpose-built AI inference cloud platform that provides low-cost, high-throughput access to 100+ open-source AI models via OpenAI-compatible APIs. The core platform operates owned GPU infrastructure across eight U.S. data centers, delivering up to 20x inference cost efficiency compared to general-purpose cloud. The product portfolio consists of the DeepInfra AI Inference Cloud as the core platform, supplemented by DeepCluster for dedicated GPU clusters (NVIDIA B300 with 99.982% uptime SLA), GPU Instances for on-demand rental (NVIDIA Blackwell DGX B300 with Vera Rubin planned), and DeepStart for AI agent capabilities. The platform supports text generation, image generation, video generation, audio/speech processing, embeddings, and reranking models from vendors including Anthropic, DeepSeek, Google, Meta, Mistral, NVIDIA, Alibaba Qwen, and Black Forest Labs.
Differentiator
Problem solved
Functional benefit
Products and services
- DeepInfra AI Inference Cloud A purpose-built AI inference cloud platform providing pay-per-token API access to 100+ open-source AI models across text generation, image, video, audio, code, embeddings, and reranking modalities via OpenAI-compatible REST APIs. Runs on DeepInfra-owned GPU infrastructure across eight U.S. data centers with zero data retention, SOC 2 Type II and ISO 27001 certifications, and processes nearly 5 trillion tokens weekly. Targeted at AI developers, scale-ups, and enterprises building production AI applications and agentic workloads.
- DeepCluster A dedicated GPU cluster offering using NVIDIA B300 GPUs procured and operated by DeepInfra across eight U.S. data centers. Provides 256 to 5,000 GPUs on a 5-year term commitment at $1.98/GPU-hour (70% cheaper than the $6.50/GPU-hour public cloud equivalent), with 288 GB HBM3e per GPU, Tier 3 datacenter placement, and a 99.982% uptime SLA. Designed for enterprise customers requiring dedicated hardware ownership, predictable latency, and always-on production inference capacity.
- GPU Instances An on-demand GPU rental service providing access to NVIDIA Blackwell DGX B300 instances at $4.20 per instance-hour, with plans to add Vera Rubin GPUs. Available across DeepInfra's eight U.S. data centers with regional autoscaling for low-latency inference workloads, targeted at developers and enterprises that need flexible GPU capacity without long-term commitments.
- DeepStart An AI agent product on the DeepInfra platform for building and running autonomous AI agents, leveraging the platform's optimized agentic AI inference infrastructure. Listed as a dedicated product navigation entry alongside DeepCluster, GPU Instances, and Chat on the DeepInfra website.
Quantifiable outcome
- Up to 20x inference cost efficiency improvements
- +5 more outcomes
Companies that use Deep Infra
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles2 records
Deep Infra technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability10 records
Feature5 records
Deep Infra partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NVIDIA (Technology Partnership)coreEarly infrastructure collaborator in NVIDIA's open AI ecosystem. Supporting Nemotron models, NemoClaw agent framework, and NVIDIA Dynamo inference software. Early deployment of Blackwell GPUs with upcoming Vera Rubin access.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Deep Infra competitors and assessment
Company assessmentDirect peers
- Together AI: Together AI is a direct competitor offering an OpenAI-compatible API for hosting open-source LLMs with custom GPU clusters. Both companies target developers and enterprises with inference cloud services on owned GPU infrastructure, racing on cost-per-token and model breadth.
- Fireworks AI: Fireworks AI provides a developer-focused inference API for open-source and proprietary foundation models with custom optimizations for latency and cost. It competes head-to-head with DeepInfra on token pricing, model selection, and low-latency deployment for production AI workloads.
- Modal: Modal offers serverless GPU compute and inference hosting for AI workloads, with a developer-centric API. It overlaps with DeepInfra's pay-as-you-go inference offering and competes for the same startup and enterprise developer customer base.
- Anyscale (Anyscale Endpoints / Ray): Anyscale provides production-grade AI compute and LLM serving built on Ray, targeting enterprises running open-source models at scale. It is a direct competitor to DeepInfra for enterprise inference workloads requiring dedicated infrastructure and SLAs.
- Replicate: Replicate is a cloud API for running open-source machine learning models, including LLMs, image, and video models. It targets the same developer/PLG customer base as DeepInfra with pay-per-use inference on managed GPU infrastructure.
- OctoAI (acquired by NVIDIA): OctoAI provided optimized inference cloud services for open-source models before its acquisition by NVIDIA. It was a direct peer in the inference-as-a-service space, illustrating both the competitive landscape and NVIDIA's vertical integration ambitions relevant to DeepInfra.
Broad incumbents
- AWS Bedrock: AWS Bedrock is a managed service offering multiple foundation models through a unified API within the AWS ecosystem. As a broad incumbent, it competes with DeepInfra for enterprise inference workloads, leveraging existing AWS procurement relationships and bundled cloud economics.
- Google Vertex AI: Google Vertex AI provides enterprise access to Google's own and third-party foundation models through GCP. It is a broad incumbent inference platform that competes with DeepInfra, particularly for enterprises already standardized on GCP and Google Gemini models.
- Microsoft Azure AI Foundry: Azure AI Foundry hosts a model catalog including OpenAI and open-source models within Microsoft's enterprise cloud. It is a broad incumbent competitor to DeepInfra, particularly for regulated enterprises requiring Azure-native procurement, compliance, and integration.
Emerging players
- RunPod: RunPod offers on-demand GPU cloud services and serverless inference at developer-friendly prices. As an emerging player, it overlaps with DeepInfra's GPU Instances product for customers seeking lower-cost alternatives to hyperscalers, though with less focus on enterprise SLAs.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks2 records
Key highlights7 records
Customer concentration
Deep Infra social profiles
Digital presenceDeep Infra compliance and trust
Trust signalCompliance2 records
Deep Infra financial estimates
Financial estimateRevenue estimate
Valuation estimate
Deep Infra leadership team
Management profileNumber of profiles
Profiles3 records
Deep Infra funding detail
Funding detailFunding overview
Funding rounds5 records
Investors11 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Deep Infra M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Deep Infra
What does Deep Infra do?
DeepInfra operates a purpose-built AI inference cloud platform that delivers pay-per-token API access to 100+ open-source AI models across text, image, video, audio, code, embeddings, and reranking modalities via OpenAI-compatible REST APIs. The company owns and operates GPU infrastructure across eight U.S. data centers using NVIDIA Blackwell hardware with NVIDIA Dynamo inference software, and supplements its core inference API with DeepCluster dedicated GPU rentals, on-demand GPU Instances, and the DeepStart AI agent product. The platform processes nearly 5 trillion tokens weekly and is specifically optimized for always-on, distributed agentic AI workloads at up to 20x inference cost efficiency versus general-purpose clouds.
Is Deep Infra a public or private company?
Deep Infra is a private company. It is classified as venture growth investor backed and is currently operating.
When was Deep Infra founded?
Deep Infra was founded in 2022. It employs 11 to 50 people.
Where is Deep Infra based?
Deep Infra is headquartered in Palo Alto, United States, in the North America region.
How does Deep Infra make money?
Two revenue lines are on record. AI Inference API Services are the primary driver. The others are dedicated GPU Instance Rental.
Who are Deep Infra's main competitors?
Direct peers on record are Together AI, Fireworks AI, Modal, Anyscale (Anyscale Endpoints / Ray), Replicate and OctoAI (acquired by NVIDIA). Broad incumbents are AWS Bedrock, Google Vertex AI and Microsoft Azure AI Foundry. RunPod is listed as an emerging player.
Does Deep Infra have an API?
Yes. DeepInfra offers an OpenAI-compatible API that allows developers to seamlessly switch from OpenAI to DeepInfra by replacing the base URL with DeepInfra's endpoint and using a DeepInfra API key. The API supports standard OpenAI SDK integration via the 'openai' Python library. The platform also supports integration through litellm and other SDKs. The API provides access to 100+ open-source models for text generation, image generation, embeddings, speech synthesis, video generation, and more, with usage-based pricing and no upfront fees. Developer documentation is at docs.deepinfra.com.
What industry is Deep Infra in?
Deep Infra's product category is AI Inference Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDAAABAF, Model Deployment, Serving & Inference Platforms. Its NAICS code is 518 and its SIC code is 7370.