Cerebrium —
Enabling businesses to build and deploy ML products quickly and easily. Creating a AWS Sagemaker alternative.

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About Cerebrium

We envision a future where building and scaling AI applications is seamless and accessible to all companies, regardless of their size or complexity. Cerebrium is dedicated to transforming the AI infrastructure landscape by removing the burdens of management and inefficiency, enabling creators to focus solely on innovation and impact.

By delivering a serverless GPU cloud platform that abstracts away complexity such as cold starts, autoscaling, and orchestration, we empower engineers to deploy high-performance AI applications globally with unprecedented ease and cost-effectiveness. Our technology drives meaningful change in how AI products scale, perform, and comply with evolving regulatory demands.

At Cerebrium, we are committed to building the foundation for the next generation of AI-enabled experiences that will advance industries, enhance user interactions, and unlock new potentials worldwide through intelligent infrastructure and scalable innovation.

Our Review

We've been watching Cerebrium since its Cape Town origins, and honestly, we're impressed by how they've tackled one of AI's biggest headaches: GPU infrastructure that actually makes sense. While most developers are still wrestling with cold starts and scaling nightmares, these folks built something refreshingly different.

The Pay-Per-Second Revolution

Here's what caught our attention first: Cerebrium charges by the second, not by the hour or month. That might sound like a small detail, but it's huge when you're running AI workloads that spike unpredictably. No more paying for idle H100s sitting around doing nothing.

The serverless approach means your models scale from zero to thousands of requests automatically. We've seen this work beautifully for companies like Tavus and Deepgram, who need that kind of elastic performance without the infrastructure headache.

Where They Really Shine

The platform supports everything from T4s to the latest H100s, plus AWS's Trainium and Inferentia chips. That flexibility matters when you're experimenting with different models or optimizing costs. The multi-region deployment is another smart move—compliance teams love having data residency options.

We particularly like their streaming and WebSocket endpoints. Building real-time AI apps shouldn't require reinventing networking, and Cerebrium gets that. Their observability tools are solid too, giving you the monitoring you need without overwhelming dashboards.

The $8.5M Reality Check

Google's Gradient Ventures led their recent seed round, which tells you something about the technical credibility here. When Google's AI-focused fund backs an infrastructure play, they've usually done their homework on the performance claims.

That said, we're curious to see how they handle the enterprise scaling challenge. Moving from impressive startups to Fortune 500 deployments is where many promising infrastructure companies hit turbulence. The early client roster looks promising, but the real test comes with bigger, more complex workloads.

Features

Platform Type
Website
Pricing
Pay-per-second billing, serverless pay-as-you-go
Features

Serverless cloud platform for GPU-based machine learning workloads

Auto-scaling from zero to thousands of requests

Multi-region deployment

Asynchronous job processing

Batch request handling

Supports multiple GPU types (T4, A10, A100, H100, Trainium, Inferentia)

Secrets management

Native streaming and WebSocket endpoints

Open telemetry observability

CI/CD pipeline integration

Optimized for performance, reliability, speed, and data residency compliance

Jobs

There is no job at the moment.

FAQs

When was Ploy founded?

Ploy was founded in 2024.

[{"answer": "Cerebrium was founded in 2021.", "question": "When was Cerebrium founded?"}, {"answer": "Cerebrium is Software Development company.", "question": "What is Cerebrium core business?"}, {"answer": "Cerebrium operates in the following categories: Agent, AI Chatbots, Business Operations, Developer Tools, Low-Code/No-Code, Productivity.", "question": "What industries or markets does Cerebrium operate in?"}, {"answer": "Cerebrium is made for: Operations Specialists, Project Management, Software Engineers.", "question": "Who is Cerebrium made for?"}, {"answer": "Cerebrium has 11-50 employees.", "question": "How many employees does Cerebrium have?"}, {"answer": "Cerebrium headquarters is located at United States.", "question": "Where is Cerebrium headquarters?"}, {"answer": "No, Cerebrium has no open AI jobs on AI Chopping Block right now.", "question": "Is Cerebrium hiring?"}, {"answer": "Cerebrium website is <a href=\"https://cerebrium.ai/\" target=\"_blank\" rel=\"noopener nofollow\">https://cerebrium.ai/</a>.", "question": "What is Cerebrium website?"}, {"answer": "You can find Cerebrium on <a href=\"https://www.linkedin.com/company/cerebrium/?utm_source=choppingblock&amp;ref=choppingblock\" target=\"_blank\" rel=\"noopener nofollow\">LinkedIn</a> and <a href=\"https://www.crunchbase.com/organization/cerebrium?utm_source=choppingblock&amp;ref=choppingblock\" target=\"_blank\" rel=\"noopener nofollow\">Crunchbase</a>.", "question": "Where can I find Cerebrium on social media?"}, {"answer": "Cerebrium is a platform that enables businesses to deploy machine learning models to serverless GPUs with sub-5 second cold-start times and minimal engineering overhead.", "question": "What is Cerebrium?"}, {"answer": "Cerebrium provides the infrastructure for deploying AI and machine learning models at scale, handling all the backend complexity while allowing developers to focus on their Python code.", "question": "How does Cerebrium use AI technology?"}, {"answer": "Cerebrium serves companies and engineers who need to deploy ML models efficiently, including teams from Twilio, Rudderstack, and Matterport.", "question": "Who are Cerebrium's target users?"}, {"answer": "Users typically experience 40% cost savings compared to traditional cloud providers and can scale models to handle over 10,000 requests per minute.", "question": "What are the main benefits of using Cerebrium?"}, {"answer": "Cerebrium positions itself as an AWS Sagemaker alternative, offering faster deployment times and significant cost savings with serverless GPU infrastructure.", "question": "How does Cerebrium compare to AWS Sagemaker?"}, {"answer": "Choppingblock.ai is a comprehensive directory that collects and showcases thousands of AI companies, making it easy to discover innovative AI solutions and platforms.", "question": "What is Choppingblock.ai?"}]
Last Update
August 20, 2026
Categories
Productivity
AI Chatbots
Low-Code/No-Code
Developer Tools
Agent
Business Operations
Companies size
11-50
Founded in
2021
Country
United States
Last funding
Seed
Bio

Cerebrium is a platform to deploy machine learning models to serverless GPUs with sub-5 second cold-start times. Customers typically experience 40% in cost savings when compared to using traditional cloud providers and can scale models to more than 10K requests per minute with minimal engineering overhead. Simply write your code in Python and Cerebrium takes care of all infrastructure and scaling. Cerebrium is being used by companies and engineers from Twilio, Rudderstack, Matterport and many more.

Software Development