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Create custom environments for deployments on Baseten

Test and deploy ML models reliably with production-ready custom environments, persistent endpoints, and seamless CI/CD.

3 others

Our canary deployments feature lets you roll out new model deployments with minimal risk to your end-user experience.

3 others

Learn how async inference works, protects against common inference failures, is applied in common use cases, and more.

2 others

A Delightful Developer Experience for Building and Deploying Compound ML Inference Workflows

1 other

AI events, multicluster model serving architecture, tokenizer efficiency, and forward-deployed engineering

Use four new best in class LLMs, stream synthesized speech with XTTS, and deploy models with CI/CD

Fast Mistral 7B, fractional H100 GPUs, FP8 quantization, and API endpoints for model management.

3x throughput with H100 GPUs, 40% lower SDXL latency with TensorRT, and multimodal open source models.

A library for open source models, general availability for L4 GPUs, and performance benchmarking for ML inference

Faster Mixtral inference, Playground v2 image generation, and ComfyUI pipelines as API endpoints.