About Baseten
What is Baseten?
Baseten is a developer-first AI infrastructure company founded with the goal of helping engineering and ML teams bring AI products into production quickly and reliably. The platform supports the full model lifecycle — from packaging and training to deployment and inference — enabling users to deploy open-source, custom or fine-tuned models across modalities (e.g., text, image, audio) with autoscaling, multi-cloud support, observability and optimized runtimes. :contentReference[oaicite:0]{index=0} Baseten emphasizes performance: for example, by leveraging NVIDIA Blackwell-based A4 VMs and their Inference Stack, they achieved up to 225% better cost-performance in high-throughput inference relative to typical setups. :contentReference[oaicite:1]{index=1} The platform offers three core workflows: dedicated deployments for full control, model APIs for fast integration, and training infrastructure for fine-tuning or custom model creation. :contentReference[oaicite:2]{index=2}
How to use Baseten?
To get started with Baseten, visit their website and create an account. Once you're set up, explore features like High-Performance Inference Runtime, Cloud-Native, Multi-Cloud Infrastructure, Model Lifecycle Support: Training & Fine-Tuning.
What Are the Key Features of Baseten?
Serve models with low latency, high throughput and production-grade SLAs using Baseten’s optimized Inference Stack with support for TensorRT-LLM, speculative decoding, custom kernels and more. :contentReference[oaicite:3]{index=3}
Deploy and scale your AI models across clusters, regions and clouds (public cloud, private VPC, hybrid) with global reliability and autoscaling built in. :contentReference[oaicite:4]{index=4}
Run containerized training jobs of any size with checkpointing, dataset management and seamless deployment of resulting models into production. :contentReference[oaicite:5]{index=5}
Use Baseten’s tooling to package models (via Truss), create multi-model workflows (Chains), monitor performance, view logs and metrics, and manage versions and deployments. :contentReference[oaicite:6]{index=6}
Workspaces on the Startup plan have usage-based billing (no monthly platform fee), and new workspaces receive free credits to get started. :contentReference[oaicite:7]{index=7}
Support for orchestrating multiple models, business logic and heterogeneous hardware in one workflow, enabling complex multi-model AI systems. :contentReference[oaicite:8]{index=8}