Edge Computing with WASM
Deploy ultra-lightweight WebAssembly workloads with 100x faster startup than containers. The only open-source PaaS offering WASM as a deployment target.
What You Get
How It Works
Why WASM?
Lightning-Fast Startup
WASM applications start in 0.52ms compared to 50ms+ for containers. Perfect for edge computing and serverless workloads where every millisecond counts.
Minimal Resource Footprint
WASM binaries are 1/100th the size of containers and use 20% less runtime resources. Deploy more workloads with less infrastructure.
Production-Ready WASI 0.3
With WASI 0.3 shipping in February 2026 with native async support, WASM is now ready for production server workloads beyond just edge functions.
AI-Native Deployment
Your AI coding agent can deploy WASM workloads through MCP just as easily as containers. Describe what you need, and let AI handle the deployment.
First-Mover Advantage
Open Source Cloud is the first and only open-source PaaS to offer WASM as a deployment target. Container-only platforms like Railway, Render, and Fly.io cannot match the startup speed and resource efficiency of WebAssembly.
With WASI 0.3 shipping in February 2026 with native async support, WASM is now production-ready for server workloads. Fermyon and Akamai are already seeing 0.52ms cold starts and 75M RPS at 4,400+ edge locations.
WASM Deployment Features
Deploy WebAssembly workloads just as easily as containers, with dramatically better performance characteristics.
WASM Runtime
Deploy WebAssembly applications with WASI 0.3 support
Edge Functions
Ultra-fast serverless functions at the edge
Low Latency
0.52ms cold starts, 100x faster than containers
AI via MCP
Deploy WASM apps through your AI agent
Open Standards, No Lock-in
WASM is an open W3C standard supported by all major browsers and runtimes. Your WASM workloads are portable across any WASI-compatible environment. Deploy on OSC today, move to your own infrastructure anytime.
Ready to deploy at the edge?
Start with a free account and deploy your first WASM workload through AI.
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