Mernit
Joined 7 years ago
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123
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54
Member since
Feb 7
Recent submissions
Comment · 2 months ago
Comment · 1 year ago
We initially wrote this for a less technical audience (where we spelled out MCP), then edited it to post here - it's not AI, it's just bad editing from my part. Fixed now.
Comment · 1 year ago
The only Beam-specific part are the sandboxes, but those can easily be swapped out for the vendor of your choice. The architecture we described isn't exclusive to our product.
Beam is fully OSS BTW: https://github.com/beam-cloud/beta9
Comment · 1 year ago
what is missing for you?
Comment · 1 year ago
beam.cloud (YC W22) | Product Engineer, SWE, SRE, Infrastructure, DevOps, Networking | NYC | Onsite
Beam is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe.
We’re working on challenging problems, including:
* Low-level systems development: working with container runtimes, OCI image formats, and lazy-loading large files from content addressable storage
* Efficiently packing thousands of workloads into GPUs across multiple clouds
* Working with cutting-edge technologies, like GPU checkpoint restore and CRIU
You don’t need prior experience with AI/ML, only an interest in working on hard problems and shipping quickly.
Email us at founders<at>beam<dot>cloud, or apply here: https://www.ycombinator.com/companies/beam/jobs/
If you're looking for an alternative, I work at beam.cloud which is another serverless GPU cloud with fast cold starts.
[1] https://www.cloudflare.com/press/press-releases/2025/cloudfl...