Q.What kind of hardware does Cerebrium support?
A.Cerebrium supports multiple GPUs including L4, L40s, A10, T4, A100, and H100, along with CPU-only, Tranium, and Inferentia.
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Cerebrium
★3.3
💬2714
💲Freemium
Cerebrium enables developers to build and scale AI applications without managing infrastructure. It supports a wide range of GPUs, offers autoscaling, and ensures reliability with 99.999% uptime and compliance standards like SOC 2 and HIPAA. The platform simplifies workflows from development to production.
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Platform
web
AI infrastructureAutoscalingBatch processingCloud computingCost managementDeep learningDeployment
What is Cerebrium?
Cerebrium is a serverless AI infrastructure platform that simplifies the process of building, deploying, and scaling AI applications. It offers fast cold starts, cost-effective deployment, and high uptime with SOC 2 and HIPAA compliance. Designed for developers and teams working on machine learning and deep learning models, it provides GPU variety and real-time observability tools to optimize performance.
Core Technologies
- Serverless Architecture
- AI Infrastructure
- GPU Computing
- Machine Learning
- Deep Learning
- Cloud Computing
- Observability
- Autoscaling
Key Capabilities
- Deploy AI applications
- Scale ML models
- Cost-efficient cloud processing
- Realtime logging
- High-availability hosting
Use Cases
- Running large language models
- Building voice applications
- Processing images and videos
- Executing batch jobs at scale
- Developing real-time inference systems
Core Benefits
- 40%+ cost savings compared to AWS/GCP
- Fast cold start performance
- Simplified AI model deployment
- Strong security and compliance
- Comprehensive logging and monitoring
- Flexible GPU options
Key Features
- Serverless AI infrastructure
- Variety of GPU options
- Effortless autoscaling
- Realtime logging
- Cost management tools
- Observability features
- Fast cold starts
- High uptime and compliance
How to Use
- 1Upload your code (e.g., main.py)
- 2Use CLI to deploy applications
- 3Monitor logs in real time
- 4Track and manage costs
- 5Scale automatically based on demand
Pricing Plans
Hobby
$0 + compute / month
For developers getting started. Includes 3 user seats, up to 3 deployed apps, 5 Concurrent GPUs, Slack & intercom support, and 1 day log retention.
Standard
$100 + compute / month
For developers with ML apps in production. Includes Everything in Hobby plan, 10 user seats, 10 deployed apps, 30 Concurrent GPUs, and 30 day log retention.
Enterprise
Custom
For teams looking to scale ML apps. Includes Everything in Standard plan, Unlimited deployed apps, Unlimited Concurrent GPUs, Dedicated Slack support, and Unlimited log retention.
Frequently Asked Questions
Q.How reliable is the Cerebrium platform?
A.Cerebrium guarantees 99.999% uptime and is SOC 2 and HIPAA compliant for data security and privacy.
Q.Can I save costs using Cerebrium over traditional cloud providers?
A.Yes, users typically experience over 40% cost savings compared to AWS or GCP.
Q.What support options are available?
A.Support includes Slack and Intercom for Hobby and Standard plans, and dedicated Slack support for Enterprise customers.
Pros & Cons (Reserved)
✓ Pros
- Cost savings compared to AWS/GCP
- Blazingly fast cold starts
- Simplified development and inferencing workflows
- Effortless autoscaling
- Wide range of GPU options
- Strong security and compliance (SOC 2 & HIPAA)
- Realtime logging and comprehensive observability
✗ Cons
- Pricing is usage-based, which can be unpredictable
- Reliance on Cerebrium's platform for deployment and scaling
- Limited information on specific cost breakdowns without using the cost estimator
Alternatives
No alternatives found.