About
Baseten is an enterprise-grade AI inference platform designed to bring the most performant AI products to market quickly and reliably. Built on the Baseten Inference Stack, it delivers bleeding-edge performance through custom kernels, advanced decoding techniques, and intelligent caching. Teams can deploy open-source, custom, or fine-tuned models on purpose-built infrastructure optimized for high throughput and low latency at massive scale. The platform supports a wide range of Gen AI workloads including large language models, image generation (including ComfyUI workflows), real-time transcription, speaker diarization, and text-to-speech for voice agents and AI phone calls. Pre-optimized Model APIs allow instant testing and prototyping with the latest models, while seamless training-to-deployment pipelines reduce friction from experimentation to production. Baseten offers flexible deployment options: a fully managed cloud with global capacity and single-tenant clusters for isolation, or self-hosted deployments inside your own VPCs with optional hybrid flex capacity. Forward Deployed Engineers provide hands-on support from prototype to production. It serves companies like Notion, Cursor, Heygen, Lovable, and Writer — making it ideal for AI-native startups and enterprises that demand reliability, speed, and developer-friendly tooling.
Key Features
- High-Performance Inference Stack: Custom kernels, advanced decoding techniques, and caching optimizations deliver the highest throughput and lowest latency for LLMs, image generation, audio, and more.
- Flexible Deployment Options: Choose fully managed Baseten Cloud with global capacity, single-tenant clusters, or self-hosted deployments in your own VPCs with optional hybrid flex capacity.
- Pre-Optimized Model APIs: Instantly access and test the latest AI models from the model library, already optimized for production performance — no setup required.
- Training-to-Deployment Pipeline: Train models and deploy them in one click on inference-optimized infrastructure, streamlining the path from experimentation to production.
- Forward Deployed Engineering Support: Partner with Baseten's forward deployed engineers for hands-on guidance building, optimizing, and scaling models from prototype to production.
Use Cases
- Deploying fine-tuned LLMs at scale for AI-native SaaS products with strict latency requirements
- Running real-time transcription and speaker diarization pipelines for voice and meeting intelligence applications
- Serving custom image generation models or ComfyUI workflows for creative and design platforms
- Building low-latency AI voice agents and phone call automation with real-time text-to-speech streaming
- Migrating self-managed GPU infrastructure to a managed inference platform to reduce ops overhead and improve reliability
Pros
- Exceptional Inference Performance: Purpose-built infrastructure with custom kernels and advanced caching consistently delivers industry-leading throughput and latency for demanding Gen AI workloads.
- Cloud-Agnostic Flexibility: Deploy across any cloud provider or within your own VPC, giving teams full control over data residency, security, and cost optimization.
- Broad Workload Support: Handles LLMs, image generation, transcription, and real-time voice — covering most production Gen AI use cases in a single platform.
Cons
- Primarily Enterprise-Focused Pricing: Designed for high-scale production workloads; smaller teams or individual developers may find the cost structure less accessible.
- Requires Infrastructure Knowledge: Getting the most out of performance tuning and deployment options benefits from substantial ML infrastructure expertise.
Frequently Asked Questions
What types of AI models can I deploy on Baseten?
Baseten supports open-source, custom, and fine-tuned AI models including LLMs, image generation models (with ComfyUI support), transcription models, and text-to-speech models.
Can I deploy Baseten in my own cloud environment?
Yes. Baseten offers self-hosted deployment inside your own VPCs, as well as a hybrid option combining your infrastructure with on-demand flex capacity from Baseten Cloud.
How does Baseten achieve fast cold starts and high uptime?
Baseten's Inference Stack includes inference-optimized infrastructure engineered for blazing-fast cold starts and 99.99% uptime, with workloads scalable across regions and multiple cloud providers.
Does Baseten support model training as well as inference?
Yes. You can run training on Baseten and deploy trained models in one click on the same inference-optimized infrastructure for consistent, high-performance results.
Who are typical Baseten customers?
Baseten serves AI-native companies and enterprises including Notion, Cursor, Heygen, Lovable, and Writer — teams that need reliable, high-throughput inference in production at scale.
