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Baseten is an inference cloud platform designed for the multi-model era, built by a team focused on high-performance AI deployment. It solves the problem of deploying, optimizing, and scaling AI models in production with minimal latency and maximum throughput. Core capabilities include dedicated inference for custom models, pre-optimized model APIs, training infrastructure, and a frontier gateway for monetizing models. The platform supports a wide range of AI workloads such as LLMs, image generation, transcription, text-to-speech, and embeddings. It is tailored for developers and AI teams who need rapid iteration, cross-cloud high availability, and bleeding-edge performance research. Baseten fits workflows from prototype to production, offering both managed cloud and self-hosted deployments. Its Inference Stack includes custom kernels, advanced caching, and decoding techniques to deliver the fastest model runtimes.
4.8/5
High, consistent, and optimized for speed
Clean and developer-focused
To provide high-performance inference infrastructure for deploying and scaling AI models in production.
Works across major cloud providers, supports custom and open-source models, and integrates via API and SDK.
Usage-based with free tier and enterprise plans
Features with the highest value for users are highlighted here.
Fastest model runtimes
Cross-cloud high availability
Pre-optimized Model APIs
Training on Baseten
Frontier Gateway for monetization
Custom performance optimizations
Self-hosted deployment options
Forward Deployed Engineers support
AI startups
Enterprise AI teams
ML researchers
Voice AI developers
Image generation studios
LLM application builders
Embeddings specialists
Compound AI architects
Healthcare AI providers
Model monetizers
Free
Pay-as-you-go
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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