POV: your agent has a desktop in the cloud 8 CPU, 16Gi RAM, $0.00025/second the future is here

ANNOUNCING: Open Jev Playground Try all the open-source alternatives to Jev as APIs > 50% cheaper than Jev 🤯 > $0.021 per 1M tokens > Hosted as OpenAI-compatible endpoints Explore the playground ↓

“Hey Codex, spin up a Redis” Introducing Beam DB. One-click Redis or Postgres. Agent-ready. Serverless. Give your agents persistence 💾

ANNOUNCING: Beam Compute Pools Cheapest GPUs + CPUs across 30+ clouds, with one-click autoscaling > Use your AWS, GCP or Azure credits > Run sandboxes, GPU inference, and task queues > H200s from $2.07/hr > CPUs from $0.04/hr > Run baseline traffic on-demand, autoscale to serverless for bursts We combined the simplicity of serverless with the flexibility of on-demand. I'm confident you'll save a ton of money on cloud costs if you start using this - give it a shot!

Introducing Capsule — The Infra Framework for AI Apps Capsule is a Python framework that provides infrastructure primitives for sandboxes, auth, session management, integrations, and payments. Capsule is @supabase for AI apps. You get a powerful Python SDK to iterate fast, and one command to deploy to the cloud. Using Capsule feels like using @beam_cloud or @modal. You don’t need to set up any infrastructure. There’s no Docker, just Python. The feedback loop is super fast. You deploy to the cloud with one command. At Beam, we have a bird’s-eye view into the AI apps people are building. Over the past year, we've watched people build the same 5-7 infra primitives over and over again. Capsule provides all of those primitives using a single SDK. @llom2600 originally built Capsule to prototype our own AI apps. We started selling some of these apps for real money and realized every app needs this, not just ours. Give it a try! Curious to hear what people think. Do AI apps have their Supabase yet?

We built an open source Lovable clone with Beam

We launched a cloud container running vscode with @beam_cloud's Pod abstraction Run vscode in a cloud container, exposed as an HTTPS endpoint You can hook this up to an LLM and ask for stuff like "launch vscode and run this python app inside it"

Serverless slackbot in <50 lines of code @beam_cloud is a cheat code for building little apps like this

How we add GPU capacity at @beam_cloud 🧵 We run a globally distributed cloud, with a lot of GPUs. Capacity always changes, mostly because of increases in traffic. But we also swap hardware based on availability, region, and specific customer requirements. Here's how it works: