Baseten – Transform AI Models from Prototype to Production
Effortless AI Model Deployments from Prototype to Production
Baseten in one line
Baseten empowers developers, AI/ML engineers, and startups to seamlessly deploy and scale AI models with serverless GPU inference and auto-scaling. Explore customizable solutions with built-in observability and model management.
What Baseten does for your business
Baseten is designed for AI/ML engineers and startups looking to deploy and scale AI models efficiently. It provides a robust infrastructure for serverless GPU inference, ensuring low-latency performance and automatic scaling. With built-in tools for observability and model versioning, Baseten simplifies the end-to-end process of transforming prototypes into production-ready models.
Is Baseten a good fit for you?
- Best for: AI/ML engineers, AI-driven startups, enterprise teams.
- Not ideal for: Non-technical users or small businesses without AI focus.
- Biggest win: Effortless scaling and deployment of AI models with minimal latency.
- Watch out for: Costs can quickly increase with scale and usage.
Baseten demo video
Baseten workflows (step-by-step)
Practical ways teams use this tool to save time and drive results.
- Deploy and scale AI models with serverless infrastructure.
- Monitor models with built-in observability features.
- Conduct A/B testing and manage model lifecycle seamlessly.
- Leverage auto-scaling for dynamic compute needs.
- Integrate easily with existing cloud and DevOps tools.
- Optimize costs with usage-based pricing plans.
Copy-paste prompts for Baseten
Use these templates to get better outputs in minutes.
- Deploy your first AI model with Baseten's developer-friendly infrastructure.
- Scale your prototype seamlessly into a production-ready deployment.
- Monitor and optimize AI models with comprehensive observability tools.
- Achieve ultra-fast inference times with Baseten's serverless GPU power.
- Customize AI deployments to meet your specific enterprise needs.
- Innovate faster with Baseten’s integration of leading AI frameworks.
Baseten features that drive ROI
- Serverless GPU inference
- Auto-scaling deployments
- Model versioning & A/B testing
- Low-latency inference (<100ms)
- Built-in observability & monitoring
- Support for open-source AI frameworks
- Integration with DevOps tools like GitHub and Docker
- Free developer tier with credits
- SOC2 compliance for enterprise security
- Customizable deployment settings
Pros & cons of Baseten
- Seamless scaling of AI models
- Low latency ensures real-time performance
- Strong integration with popular DevOps tools
- Flexible usage-based pricing
- Comprehensive support for custom model deployments
- Built-in tools for observability and efficiency tracking
- Potential high costs at scale
- Might require AI/ML expertise for optimal use
- Limited features in the free developer tier
- Custom model deployment setup might be complex
- May not be ideal for small-scale projects
- Dependency on cloud infrastructure
Baseten pricing (free/freemium/paid)
| Plan | Price | What you get |
|---|---|---|
| Pricing type: usage-based | ||
| Price from: $0.50/hour for GPU inference | ||
| Plans: | ||
| Developer: $0 (up to 1M tokens/month) | ||
| Production: $0.50-$2.00/hour | ||
| Enterprise: Custom |
Baseten use cases for entrepreneurs
Baseten integrations (and what’s possible)
If something isn’t native, it can often be connected via Zapier/Make/API.
Which Baseten model to use for what
Who gets the most value from Baseten
Entrepreneurs and developers aiming to transform AI models from experimentation to production would find Baseten invaluable. It offers the scalability needed for startups looking to broaden their AI impact and supports enterprises that demand robust observability and performance. The platform is particularly suited for technical teams tasked with efficient AI deployment and scaling.
Baseten by business type
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Best alternatives to Baseten
- AWS Sagemaker
- Google AI Platform
- Microsoft Azure ML
- Algorithmia
- Domino Data Lab
- DataRobot
- Paperspace
- FloydHub
- Spell
- Valohai
Baseten FAQ (business questions)
What is Baseten's primary function?
Baseten facilitates the deployment and scaling of AI models from prototype to production.
Does Baseten support custom models?
Yes, Baseten allows integration with custom models.
What is the starting cost for using Baseten?
Pricing starts at $0.50/hour for GPU inference.
Is there a free tier available?
Yes, Baseten offers a free developer tier with up to 1 million tokens per month.
Can I integrate Baseten with my existing tools?
Yes, Baseten integrates with tools like GitHub, Docker, and AWS.
Does Baseten monitor deployed models?
Yes, it includes built-in observability and monitoring features.
Can Baseten be used for A/B testing?
Yes, A/B testing is supported as part of model versioning.
What level of latency can I expect?
Baseten ensures low-latency inference, typically under 100ms.
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