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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Baseten
Baseten

Baseten

Founded by Amir Haghighat & Tuhin Srivastava in 2019

Deploy and serve custom machine learning models with dedicated cloud infrastructure

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Baseten to deploy, serve, and run machine learning models in production environments. It provides dedicated infrastructure to run open-source large language models, image generators, audio transcription engines, and custom neural networks. You can run models in Baseten's managed cloud or host them directly inside your private VPCs. The service handles model packaging, fast cold starts, autoscaling, and hardware allocation for complex AI pipelines, allowing engineering teams to access low-latency inference APIs without having to manage raw GPU clusters themselves.

What Baseten does

Deploy a custom PyTorch model to cloud GPUsConfigure autoscaling rules based on request trafficRun real-time audio transcription with speaker diarizationGenerate high-resolution images via ComfyUI pipelinesConnect private VPC clusters to managed inference endpointsGenerate text embeddings for semantic search applicationsTrain models with reinforcement learning using the Loops SDKDeploy open-source and proprietary machine learning models via dedicated APIsAutoscale GPU resources across multiple cloud providersRun models inside your own virtual private cloud or managed serversServe multi-step compound AI pipelines with granular hardware controlProvide pre-built APIs for popular open models like DeepSeek and GLMExecute ComfyUI workflows and image generation pipelinesStream low-latency audio for real-time text-to-speech and transcription

Pricing breakdown

Pricing model: Free

Tutorials & Demos

Frequently asked

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Baseten, AI inference, model serving, open-source models, LLM deployment, GPU hosting, speech to text, image generation, text to speech, embeddings, model runtimes, autoscaling, private VPC, compound AI, machine learning infrastructure