Ship it on Beam
Pick the use-case you want — Beam runs the compute, with zero infrastructure to manage.
Deploy open-source LLMs
Serve open-source LLMs behind an autoscaling, OpenAI-compatible API.
Fine-tune models on GPUs
LoRA and QLoRA fine-tuning on serverless GPUs.
Turn ComfyUI workflows into production APIs
Turn ComfyUI workflows into autoscaling API endpoints.
Run GPU training jobs on-demand
Start training runs on cloud GPUs from Python — pay only while they run.
Fan out batch jobs across thousands of containers
Fan out batch inference and ETL across thousands of containers.
Run Stable Diffusion and Flux as an API
Host SDXL, Flux, and custom checkpoints behind an autoscaling API.
Deploy any Hugging Face model as an API
From model ID to live, autoscaling endpoint with one Python file.
Run Whisper transcription behind your own API
On-demand Whisper transcription behind an autoscaling API.
Serve embedding models for your RAG stack
Host embedding and reranking models on your own endpoints.
Run text-to-speech behind a managed API
Serve open TTS models with hosted audio outputs.
Give your AI agents a safe place to run code
Isolated sandboxes for agent-generated code, booting in seconds.
Sandboxes for RL rollouts at scale
Forkable, restorable sandboxes for reinforcement learning rollouts.
Run OCR and document extraction at scale
Private OCR and extraction pipelines, one container per document.
Deploy computer vision models at scale
Detection, segmentation, and classification behind managed APIs.
Generative media on serverless GPUs
Text-to-video on H100s — no reserved GPUs, hosted outputs.
Start shipping on infra
you won’t outgrow.
Run sandboxes and GPU workloads on your cloud, and scale out to ours when you need to. No infra to manage.