Baseten

Baseten is a comprehensive platform designed to deploy, serve, and scale AI models in production environments. It provides the necessary infrastructure, tooling, and expertise to bring AI products to market quickly and efficiently. Powered by the Baseten Inference Stack, it delivers performant model runtimes, cross-cloud high availability, and a developer-centric experience for mission-critical inference workloads.

How to use Baseten

1. Choose your deployment method: Utilize the Model APIs for instant access to pre-optimized models for prototyping, or create a Dedicated Deployment for custom, fine-tuned, or open-source models.
2. Package your model using Truss, Baseten's open-source standard, which supports any machine learning framework.
3. Deploy your model to your preferred environment: Baseten's fully-managed cloud, your own VPC for self-hosting, or a hybrid setup that combines both.
4. Scale your application automatically based on traffic, benefiting from features like fast cold starts and 99.99% uptime.
5. Optionally, leverage Baseten's inference-optimized infrastructure to train your models for the best possible production performance.

Core Features of Baseten

• Baseten Inference Stack: A high-performance engine with custom kernels, advanced caching, and the latest decoding techniques for lower latency and higher throughput.
• Flexible Deployment Options: Choose between Baseten Cloud (fully-managed), Self-hosted (in your VPC), and Hybrid deployments to meet security and performance needs.
• Broad Model Support: Deploy any custom, proprietary, or open-source model, including LLMs, image generation models (like ComfyUI workflows), transcription, and text-to-speech.
• Production-Ready Model APIs: Instantly access and evaluate a library of popular models like DeepSeek, Kimi, and Qwen with production-grade performance.
• Cloud-Native Infrastructure: Features auto-scaling, global region support across any cloud provider, blazing-fast cold starts, and a 99.99% uptime guarantee.
• Compound AI Chains: Enables granular hardware control and autoscaling for complex, multi-model AI workflows, improving GPU utilization and reducing latency.
• Expert Engineering Support: Access to forward-deployed engineers for hands-on assistance from prototype to production.

Use Cases for Baseten

Baseten is ideal for building demanding, real-time AI applications. Use cases include powering low-latency AI phone agents, developing generative AI products for image and text creation, serving high-throughput embedding models for search and retrieval, and deploying custom-built LLMs for specialized industries like finance and healthcare.

Advantages of Baseten

The primary advantages of Baseten are its exceptional performance, cost-efficiency, and scalability. By optimizing the entire inference stack, it significantly reduces latency and increases throughput, as demonstrated by helping clients like Bland AI achieve sub-400ms response times. Its pay-for-what-you-use model eliminates costs for idle time, while traffic-based autoscaling ensures reliability during rapid growth. The platform is also SOC 2 Type II certified and HIPAA compliant, ensuring enterprise-grade security.

Pricing and Plans

Baseten offers a tiered pricing structure designed for growth:
- Basic: A pay-as-you-go plan starting at $0 per month. It includes access to Dedicated Deployments, Model APIs, fast cold starts, and is SOC 2 Type II and HIPAA compliant.
- Pro: A custom-quoted plan that adds priority access to high-demand GPUs, dedicated compute, higher rate limits, and hands-on support via Slack and Zoom.
- Enterprise: A custom-quoted plan for full control, offering self-hosting in your VPC, custom SLAs, advanced security, and the ability to use existing cloud commitments.

Usage is billed based on two models:
- Model APIs: Priced per 1 million input and output tokens. For example, Kimi K2 costs $0.60/1M input tokens and $2.50/1M output tokens.
- Dedicated Deployments: Billed per minute of compute time. For instance, an A10G GPU instance is priced at $0.02012 per minute, and an H100 GPU is $0.10833 per minute.