Baseten
The fastest, most reliable inference for AI products
About Baseten
Baseten is a production-grade inference platform purpose-built for serving LLMs, image models, and custom ML workloads at scale. With its open-source Truss packaging format, custom inference runtime, and multi-cloud GPU capacity, Baseten is used by companies like Descript, Patreon, and Writer to serve mission-critical AI features with low latency and high uptime. The platform emphasizes performance engineering — TensorRT-LLM optimizations, speculative decoding, and dedicated deployments are first-class concerns.
Pros & Cons
Pros
- Best-in-class inference performance via custom optimizations
- Truss makes deployments portable and reproducible
- Strong support for production reliability features
Cons
- \u002430/month minimum may deter hobbyists
- Less suited for one-off experimentation than Replicate
Key Features
Truss Model Packaging
Open-source framework for packaging any Python model into a portable, reproducible deployment artifact
Dedicated Deployments
Reserved GPU capacity with predictable latency, autoscaling, and zero-downtime model updates
Model Performance Engineering
TensorRT-LLM, FP8 quantization, speculative decoding, and custom CUDA kernels applied to maximize throughput
Multi-Cloud GPU Capacity
Access to H100, H200, A100, and A10G across AWS, GCP, and Oracle for elastic scaling
Model Library
One-click deploy for popular open models like Llama 3, Mistral, Stable Diffusion, and Whisper
Async & Sync APIs
Streaming, async batch, and synchronous endpoints with built-in observability and request tracing
Pricing
- All GPU types
- Autoscaling deployments
- Email support
- Committed GPU capacity
- Dedicated support engineer
- VPC deployment option
- SOC 2 Type II + HIPAA