Beam vs Deep Infra

Only charged when your code runs, no charges for cold starts or server spin-up

Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot

Run untrusted code safely in isolated environments for AI agents and code interpreters

Pause and resume sessions while maintaining filesystem, memory, and running processes

Scale to zero when idle, burst to thousands of containers in seconds

Bring your own Docker images for full environment control, including running the Docker daemon inside containers

OpenAI-compatible API for 100+ models including DeepSeek, Qwen, Llama 4, Claude, and Gemini families with autoscaling

B200 instances with SSH access spin up in about 10 seconds and bill hourly

Deploy your own Hugging Face models onto dedicated A100, H100, H200, B200, or B300 GPUs

Published per-GPU hourly rates for A100, H100, H200, B200, and B300 with competitive pricing

Runs on its own inference-optimized hardware in US-based data centers rather than rented capacity

Support for text generation, vision and OCR, embeddings and reranking, image, video and music generation, and speech recognition and synthesis