Cerebrium
Cerebrium, founded in 2021 and headquartered in the United Kingdom, provides real-time AI infrastructure that deploys voice agents, video models, LLMs, and other AI workloads with sub-second cold starts and instant autoscaling.
Profile
Cerebrium provides real-time AI infrastructure that deploys and scales AI workloads with sub-second cold starts and elastic GPU access across multiple clouds.
Cerebrium, founded in 2021 and headquartered in the United Kingdom, provides real-time AI infrastructure that deploys voice agents, video models, LLMs, and other AI workloads with sub-second cold starts and instant autoscaling. The company claims cold starts of 2–4 seconds using memory and GPU snapshotting, and offers elastic GPU scaling across multiple clouds and regions (us-east-1, eu-west-2, eu-north-1, ap-south-1) with a capacity of over 2,500 GPUs. Cerebrium supports bring-your-own-code via Dockerfile or entry point, and provides end-to-end observability with native OpenTelemetry support.
The platform is SOC 2, HIPAA, GDPR, and ISO compliant, and runs workloads on gVisor for isolation. As of mid-2026, Cerebrium has not disclosed revenue, headcount, or funding rounds; it is not listed in Crunchbase's unicorn tracker for 2026, nor has it appeared in TechCrunch's funding coverage. The company's website lists notable clients including LiveKit, Tavus, Vapi, Deepgram, Telli, Camb.ai, Creatium, Amira Learning, Invofox, Resemble AI, Lelapa AI, and Bithuman AI.
Cerebrium competes with larger cloud providers and AI infrastructure platforms like Modal, Replicate, and Banana, but differentiates on cold-start latency and multi-cloud GPU access without reservations. The company has not publicly disclosed any leadership changes, controversies, or churn. Its financial trajectory remains opaque, with no independent reporting on revenue, funding, or valuation. Cerebrium's market position is as a niche provider for latency-sensitive AI applications, particularly real-time voice and video, but its lack of disclosed scale and funding raises questions about long-term viability against well-capitalized competitors.
Who buys this
- AI startups building real-time voice agents and video models
- Enterprise teams deploying LLMs and generative AI applications
- Developers needing low-latency GPU inference without infrastructure management
- Companies requiring SOC 2, HIPAA, or GDPR compliance for AI workloads
Publicly disclosed clients
- LiveKit
- Tavus
- Vapi
- Deepgram
- Telli
- Camb.ai
- Creatium
- Amira Learning
- Invofox
- Resemble AI
- Lelapa AI
- Bithuman AI
Strengths and what to watch
Strengths
- Sub-second cold starts (2–4 seconds claimed) via memory and GPU snapshotting, enabling low-latency AI inference.
- Elastic GPU scaling across multiple clouds and regions with no reservations, supporting over 2,500 GPUs.
- Compliance certifications (SOC 2, HIPAA, GDPR, ISO) and gVisor isolation for regulated workloads.
Watch for
- No disclosed revenue, funding, or valuation; financial viability is unverified and may limit long-term growth.
- Heavy reliance on a small set of named clients (mostly startups); customer concentration risk is high.
- Competition from well-funded platforms like Modal, Replicate, and cloud providers (AWS, GCP) with similar offerings.
Key Information
- Industry
- GPU Cloud / Infra
- Founded
- 2021
- Headquarters
- United Kingdom
Frequently Asked Questions
What is Cerebrium and what does it do?
Cerebrium is a real-time AI infrastructure platform that deploys and scales AI workloads like voice agents, video models, and LLMs. It offers sub-second cold starts, elastic GPU access across multiple clouds, and supports bring-your-own-code via Dockerfile or entry point.
How fast are Cerebrium's cold starts for AI inference?
Cerebrium claims cold starts of 2 to 4 seconds using memory and GPU snapshotting. This enables low-latency AI inference for real-time applications such as voice agents and video models, differentiating it from competitors that may take longer to spin up.
Which clouds and regions does Cerebrium support for GPU scaling?
Cerebrium offers elastic GPU scaling across multiple clouds and regions including us-east-1, eu-west-2, eu-north-1, and ap-south-1. It supports over 2,500 GPUs with no reservations required, allowing flexible capacity for AI workloads.
Is Cerebrium compliant with SOC 2, HIPAA, and GDPR?
Yes, Cerebrium holds SOC 2, HIPAA, GDPR, and ISO compliance certifications. It also runs workloads on gVisor for isolation, making it suitable for regulated industries that require data security and privacy for AI deployments.
Who are Cerebrium's notable clients and customer segments?
Notable clients include LiveKit, Tavus, Vapi, Deepgram, and Camb.ai. Customer segments are AI startups building real-time voice agents, enterprise teams deploying LLMs, developers needing low-latency GPU inference, and companies requiring compliance certifications.
What are the risks of using Cerebrium for AI infrastructure?
Cerebrium has not disclosed revenue, funding, or valuation, raising questions about long-term viability. It relies heavily on a small set of startup clients, faces competition from well-funded platforms like Modal and Replicate, and lacks independent financial reporting.
Sources
- www.cerebrium.ai — Product claims (cold starts, GPU scaling, compliance, client logos, regions, capacity)
- techcrunch.com — Cerebrium not listed as a unicorn in 2026; no funding or valuation data found
- c3.ai — Irrelevant to Cerebrium; confirms no connection to C3 AI
- finance.yahoo.com — Irrelevant to Cerebrium; confirms no connection to C3 AI