Cerebrium
Cerebrium is a serverless AI infrastructure platform that lets engineering teams deploy, run, and scale real-time multimodal AI workloads — including voice agents, LLMs, and video models — with sub-second cold starts, elastic GPU access across five regions, and usage-based billing.
- Company typePrivate
- Founded2023
- HeadquartersLondon, United Kingdom
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Cerebrium does
Cerebrium is a serverless AI infrastructure platform that enables engineering teams to deploy, run, and scale multimodal AI applications — including voice agents, large language models, video generation, and computer vision workloads — without managing underlying infrastructure. Founded in Cape Town, South Africa (2021-2023, with conflicting source dates) and now headquartered in New York City, the company targets AI application developers and ML engineers who need sub-second cold starts, elastic GPU access, and multi-region deployment. Its core technical differentiator is proprietary container and GPU infrastructure: memory and GPU snapshotting delivers 2-4 second cold starts versus 60-150 seconds on competing infrastructure, content-aware storage with EROFS+fscache in-kernel image mounting achieves near-native filesystem performance, pre-baked GPU drivers reduce node boot time from minutes to under 30 seconds, and the Thalamus distributed router handles multi-region failover. The platform exposes REST, streaming, WebSocket, and OpenAI-compatible endpoints, integrates with Pipecat, LangChain, LiveKit, Deepgram, Twilio, ElevenLabs, Tavus, and others, and supports custom Dockerfiles without requiring code rewrites or proprietary SDKs.
Cerebrium operates a hybrid go-to-market combining product-led growth (self-serve CLI, dashboard, $30 signup credits, no published rate card) with emerging enterprise sales (book-a-demo motion targeting regulated verticals). Revenue is generated through usage-based, pay-per-second billing for CPU and GPU compute, with 2,500+ GPUs accessible across five regions (us-east-1, eu-west-2, eu-north-1, ap-south-1, and previously UK) and twelve-plus GPU types including H100, H200, A100, L4, A10, and AMD chips. The company has raised approximately $9M total — a $500K pre-seed from Y Combinator (January 2022) and an $8.5M seed led by Gradient Ventures with Y Combinator and Authentic Ventures (July 2025) — and holds SOC 2 Type II, HIPAA, GDPR, and ISO 27001 compliance certifications to serve enterprise and healthcare customers. Named customers are predominantly early-stage AI startups across voice AI, digital avatars, language AI, and education technology, including DistilLabs, Lelapa AI, bitHuman, Tavus, Creatium, VAPI, Deepgram, and LiveKit. A December 2025 strategic partnership with Multiverse Computing extends the platform into model compression, claiming up to 12x faster model execution and 80% compute reduction.
Cerebrium firmographics
Firmographics- Name
- Cerebrium
- Legal name
- Cerebrium Inc.
- Website
- https://cerebrium.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Cerebrium is a serverless AI infrastructure platform that lets engineering teams deploy, run, and scale real-time multimodal AI workloads — including voice agents, LLMs, and video models — with sub-second cold starts, elastic GPU access across five regions, and usage-based billing.
- Ownership category
- akta.pro rank
Cerebrium industry classification
Industry- Product category
- AI Infrastructure Platform
- NAICS
- Software Publishers (5132), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG), Developer Experience Platforms for Enterprise (IDEs, CI/CD, Dev Portals) (HDAEAKAI), Platform Engineering & Internal Developer Platforms (IDP) (BPAEAKAC)
Keywords
Where Cerebrium is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Cerebrium business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Revenue model
- Pay-as-you-go GPU/CPU Compute: Users pay only for compute consumed, billed by the second. No capacity reservations or upfront commitments required. Supports both CPU and GPU workloads with automatic scaling up and down to zero.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Usage-based pay-per-second compute |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Cerebrium product offering
Product offeringCore offering
Cerebrium provides a serverless GPU infrastructure platform that lets engineering teams deploy and scale real-time AI workloads including voice agents, LLMs, video models, and multimodal AI applications. The platform features sub-second cold starts (2–4 seconds via memory and GPU snapshotting), elastic GPU scaling across 12+ GPU types and 2500+ GPUs, multi-region deployment with automatic failover, and pay-per-second billing. Developers bring their existing Python code or Dockerfile without rewrites, decorators, or custom SDKs.
Product overview
Cerebrium is a serverless AI infrastructure platform built around its core Cerebrium platform, which provides serverless GPU infrastructure for real-time AI workloads. The platform's primary interface is the Cerebrium CLI for Python developers, with the cerebrium run feature for quick code execution and full deployment via `cerebrium deploy`. Key infrastructure features include REST API endpoints, streaming endpoints, WebSocket endpoints, and OpenAI-compatible endpoints for model serving. Thalamus serves as the distributed routing layer for multi-region deployments across us-east-1, eu-west-2, eu-north-1, and ap-south-1. The platform supports concurrency & batching, async requests, CI/CD gradual rollouts, secrets management, distributed storage, and custom Dockerfiles. Built-in capabilities span voice AI, LLMs via vLLM and TensorRT-LLM, image generation, and RAG pipelines.
Differentiator
Problem solved
Functional benefit
Products and services
- Cerebrium Serverless AI Infrastructure Platform The core serverless GPU infrastructure platform for deploying and scaling real-time AI workloads including voice agents, LLMs, video models, and custom AI applications. Supports sub-second cold starts (2–4 seconds), elastic GPU scaling across 12+ GPU types and 2500+ GPUs in multiple clouds and regions, multi-region deployments with automatic failover, gVisor-based workload isolation, and pay-per-second billing. Customers bring their existing Python code or Dockerfile without rewrites, decorators, or custom SDKs.
- Cerebrium CLI Command-line interface (Python-based, pip-installable) for initializing projects, deploying applications, running code remotely via `cerebrium run`, and managing deployments on the Cerebrium platform. The CLI supports project initialization, deployment, secrets management, and log streaming.
Quantifiable outcome
- 2–4 second cold starts (vs 71s competitor average, 156s EKS/GKE)
- +4 more outcomes
Companies that use Cerebrium
Customer profileNamed customers8 records
Segments3 records
Ideal customer profiles3 records
Cerebrium technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration19 records
AI capability14 records
Feature7 records
Cerebrium partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered flagship and core.
- Multiverse ComputingflagshipStrategic partnership announced December 2, 2025 combining Multiverse's CompactifAI model compression engine with Cerebrium's dynamic container scaling platform. Joint solution claims models run up to 12x faster while consuming up to 80% fewer compute resources. Addresses prohibitive AI development costs for enterprises. Partnership at CES 2026 also referenced. Both companies positioned as powering sustainable AI infrastructure.
- PipecatcorePipecat framework for voice agent development is natively supported on Cerebrium. Tutorials and examples show Pipecat-based voice agents (Twilio, LiveKit) deployed on the platform with dedicated scaling guidance.
- DeepgramcoreDeepgram speech-to-text service is integrated into Cerebrium's voice agent examples. Deepgram STT is used in Pipecat-based voice agent tutorials for real-time transcription.
- LiveKitcoreReal-time audio/video SDK integrated with Cerebrium for outbound voice agents. Featured in examples and customer showcase.
- LangChaincoreLangChain SDK for agent creation is integrated via documentation tutorials. LangChain-based agents (executive assistant with Cal.com integration) are deployable on Cerebrium.
- LangSmithcoreLangSmith monitoring platform integrated for production monitoring of LangChain agents on Cerebrium. Tutorials show how to set up tracing, performance metrics, and session tracking.
Scale indicators8 records
Recent moves8 records
Expansion highlights7 records
Cerebrium competitors and assessment
Company assessmentDirect peers
- RunPod: RunPod offers GPU cloud and serverless endpoints aimed at AI developers and researchers. It overlaps with Cerebrium on elastic GPU access and instant endpoints, with a more DIY console experience.
- Baseten: Baseten provides a managed inference platform for ML models with autoscaling, Truss-based packaging, and enterprise features. It competes with Cerebrium on serving production AI workloads at scale, particularly for startups and enterprises deploying LLMs and custom models.
- Fireworks AI: Fireworks AI provides a serverless inference platform for open-source and fine-tuned models with low-latency serving primitives. It targets the same real-time AI workload use cases as Cerebrium, including voice and multimodal applications.
- Modal: Modal offers serverless compute for AI and data workloads with a Python-native SDK and instant autoscaling. It is the most direct competitor to Cerebrium in the serverless GPU-for-AI infrastructure category, targeting the same developer-first, real-time workload customer base.
- Replicate: Replicate runs machine learning models in the cloud via a Cog-based packaging system and a large public model library. It overlaps with Cerebrium on serving AI models via API and is a direct alternative for developers deploying open-source models.
- Together AI: Together AI operates an AI compute cloud optimised for open-source model inference and training. It competes with Cerebrium for AI developers and enterprises seeking high-throughput, low-latency inference at scale, with deeper investment in proprietary inference engines.
Broad incumbents
- CoreWeave: CoreWeave is a large GPU cloud provider with vertically integrated infrastructure and an inference platform. It competes with Cerebrium for AI inference workloads at scale but operates a much larger data-center footprint with significant enterprise contracts.
- Lambda: Lambda is a GPU cloud provider offering reserved and on-demand GPU instances plus a serverless inference product. It competes with Cerebrium on GPU capacity and inference pricing, but with a broader infrastructure portfolio spanning training and dedicated clusters.
- Hugging Face Inference Endpoints: Hugging Face offers dedicated and serverless inference endpoints for the models in its hub. It is an alternative for developers serving open-source models and overlaps with Cerebrium's bring-your-own-model workflow, though bundled with a much larger model community.
Emerging players
- Anyscale: Anyscale commercialises Ray and offers an AI compute platform for distributed training and serving. It overlaps with Cerebrium on serving real-time AI workloads but is more developer-engineer oriented and oriented around the Ray ecosystem.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Cerebrium social profiles
Digital presenceCerebrium compliance and trust
Trust signalCompliance4 records
Cerebrium financial estimates
Financial estimateRevenue estimate
Valuation estimate
Cerebrium leadership team
Management profileNumber of profiles
Profiles3 records
Cerebrium funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Cerebrium 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 Cerebrium
What does Cerebrium do?
Cerebrium provides a serverless GPU infrastructure platform that lets engineering teams deploy and scale real-time AI workloads including voice agents, LLMs, video models, and multimodal AI applications. The platform features sub-second cold starts (2–4 seconds via memory and GPU snapshotting), elastic GPU scaling across 12+ GPU types and 2500+ GPUs, multi-region deployment with automatic failover, and pay-per-second billing. Developers bring their existing Python code or Dockerfile without rewrites, decorators, or custom SDKs.
Is Cerebrium a public or private company?
Cerebrium is a private company. It is classified as venture growth investor backed and is currently operating.
When was Cerebrium founded?
Cerebrium was founded in 2023. It employs 1 to 10 people.
Where is Cerebrium based?
Cerebrium is headquartered in London, United Kingdom, in the Europe region.
How does Cerebrium make money?
One revenue line is on record: pay-as-you-go GPU/CPU Compute.
Who are Cerebrium's main competitors?
Direct peers on record are RunPod, Baseten, Fireworks AI, Modal, Replicate and Together AI. Broad incumbents are CoreWeave, Lambda and Hugging Face Inference Endpoints. Anyscale is listed as an emerging player.
Does Cerebrium have an API?
Yes. Cerebrium provides a REST API for deploying and managing AI workloads. Developers can deploy Python functions as auto-scaling API endpoints via the Cerebrium CLI, with the deployed endpoint accepting JSON input. The platform supports REST API endpoints, streaming endpoints, WebSocket endpoints, OpenAI-compatible endpoints, webhook forwarding, and async requests. Authentication uses JWT tokens (issued via dashboard). Rate limits and detailed versioning are not explicitly stated. A cerebrium.toml configuration file controls build and environment settings. The CLI is the primary interface (Python-based, `pip install cerebrium`), and the docs reference an API reference page at /docs/api-reference/builds/health-check. Developer documentation is at docs.cerebrium.ai.
What industry is Cerebrium in?
Cerebrium's product category is AI Infrastructure Platform. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDAAAAAG, AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers). Its NAICS code is 5132 and its SIC code is 7372.