Cerebrium AI

What is Cerebrium AI?

Cerebrium AI is a platform that offers scalable computing resources for developers working with machine learning applications. The platform provides different pricing plans tailored to various needs, from hobbyist developers to teams looking to scale their ML apps. With Cerebrium AI, users pay only for the compute resources they use, down to the millisecond, without any hidden costs or surprises. The platform ensures fast and cost-effective application performance, with services like optimizing pipelines for quick inference, speeding up workflow processes, and maintaining low latency for real-time responsiveness. Additionally, Cerebrium AI ensures high system reliability with 99.999% uptime and SOC 2 compliance for secure data handling. Users also benefit from features such as real-time logging, cost management tracking, observability tools, a variety of GPU options from different cloud providers, and effortless autoscaling to maintain fault-free application operation.

Who created Cerebrium AI?

Cerebrium was created by a team of individuals passionate about optimizing applications for enhanced performance and cost-efficiency. The company focuses on offering real-time performance, low latency, and high uptime for applications through its platform. Cerebrium ensures system reliability with 99.999% uptime and prioritizes data security with SOC 2 compliance as a top concern.

How to use Cerebrium AI?

To use Cerebrium, follow these steps:

1. Access the Cerebrium platform at https://docs.cerebrium.ai/ to begin the process.
2. Utilize the platform to build the fastest voice agent by optimizing performance for inference in seconds, with low latency and 99.999% uptime.
3. Benefit from SOC 2 Compliance, ensuring data security and privacy are top priorities.
4. Take advantage of real-time logging to quickly identify deployment issues and manage costs efficiently.
5. Explore observability tools for a clear understanding of your application's health.
6. Select the GPU variety that suits your application's needs with additional capacity across various cloud providers.
7. Enjoy effortless autoscaling ensuring fault-free application operation at all times.
8. Choose from plan options tailored for different needs: Hobby for developers getting started, Standard for those with ML apps in production, and Enterprise for teams scaling ML apps.
9. Pay for what you use without hidden costs, with on-demand pricing for GPU and CPU compute.
10. Consider trying out AI at your company with up to $1,000 in free credits and access to expert engineers for guidance.

These steps provide a comprehensive guide on how to effectively utilize the Cerebrium platform for various machine learning applications.