$0.01Starting price
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About Baseten

Baseten is an AI inference infrastructure platform designed for developers, startups, and enterprises that need to deploy, serve, and scale open-source, fine-tuned, and custom AI models in production environments. The platform enables rapid prototyping and production evaluation through two-click deployments of open-source models from a hosted library. It supports custom and fine-tuned model serving using Truss, a packaging framework for production deployment. Baseten provides high-performance inference at scale with distributed multi-cloud infrastructure, including dedicated deployments and cross-cloud high availability. The platform handles multiple modalities such as LLMs, embeddings, image generation, transcription, and text-to-speech, offering production-focused runtimes and developer workflows. Baseten emphasizes cost-performance and inference optimization, integrating with frameworks like NVIDIA Dynamo, TensorRT-LLM, SGLang, and vLLM, and maintains partnerships with Google Cloud and NVIDIA. Founded in 2020, it serves teams requiring scalable, reliable, and optimized AI model serving solutions.

Key features

  • Two-click deployments of open-source models from a hosted library
  • Custom and fine-tuned model serving using Truss
  • High-performance inference at scale with distributed multi-cloud infrastructure
  • Support for multiple modalities (LLMs, embeddings, image generation, transcription, text-to-speech)
  • Production-focused runtimes and developer workflows
  • Integration with NVIDIA Dynamo, TensorRT-LLM, SGLang, and vLLM
  • Dedicated deployments and cross-cloud high availability
  • Cost-performance and inference optimization focus
  • Partnerships with Google Cloud and NVIDIA

Use cases

  • Deploying open-source AI models for rapid prototyping and production evaluation
  • Serving custom or fine-tuned models in production environments
  • Scaling AI inference workloads across multi-cloud infrastructure

Pros

  • Offers pre-optimized model APIs for rapid prototyping and evaluation of the latest AI models
  • Supports deployment of open-source, custom, and fine-tuned models with high-performance inference runtimes
  • Provides cross-cloud high availability and 99.99% uptime with global scaling capabilities
  • Includes dedicated inference for high-scale workloads and single-tenant deployments for security
  • Features advanced performance optimizations tailored for Gen AI applications, including LLMs, embeddings, and image generation

Cons

  • May require technical expertise to fully leverage custom model deployments and advanced optimizations
  • Self-hosted deployments involve managing infrastructure, which can add operational complexity

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Frequently asked questions about Baseten

What is Baseten?

Baseten is an AI inference infrastructure platform that enables developers, startups, and enterprises to deploy, serve, and scale open-source, fine-tuned, and custom AI models in production environments.

Who is Baseten for?

The platform is designed for teams requiring scalable, reliable, and optimized AI model serving solutions, including developers, startups, and enterprises building AI-powered products.

How does Baseten handle pricing?

Baseten offers pricing models tailored to deployment needs, including fully-managed cloud options and self-hosted solutions, with flexibility for single-tenant or hybrid setups.

What integrations does Baseten support?

Baseten integrates with frameworks like NVIDIA Dynamo, TensorRT-LLM, SGLang, and vLLM, and supports partnerships with cloud providers such as Google Cloud and NVIDIA.

What are the limitations of Baseten?

Custom model deployments may require additional technical effort, and self-hosted options demand infrastructure management. Performance gains depend on model optimization and workload characteristics.

How do I get started with Baseten?

Users can begin by exploring the model library, deploying pre-optimized models, or contacting Baseten for tailored support to deploy custom or fine-tuned models.

Baseten Website Engagement

Last Update: 9 days ago

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United States
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Monthly Traffic

280K305K330K354K379KJun 2026Jul 2026Aug 2026

Traffic Sources

0%10%20%30%40%50%0%Social0%PaidReferrals2%Mail5.1%Referrals0%Search47.5%Direct

Traffic Share By Country

38.5%7.4%5.8%3.9%3.9%
  • United States38.5%
  • India7.4%
  • United Kingdom5.8%
  • Canada3.9%
  • Germany3.9%

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