Edge computing guide
Edge prompt compression
Edge computing brings processing close to users. SuperCompress's tiny footprint (~200KB, no GPU) makes it ideal for edge deployment where resources are constrained.
Edge vs cloud compression
| Factor | Cloud Compression | Edge Compression |
|---|---|---|
| Latency | ~60ms + network | ~60ms only |
| Data locality | Data leaves region | Stays at edge |
| Cold start | ~300ms | ~5-50ms |
| Scaling | Auto-scale | Global distribution |
Frequently asked questions
What edge platforms support SuperCompress?
Cloudflare Workers (Python), Vercel Edge, AWS Lambda@Edge, and Fly.io.
Does edge compression reduce overall latency?
Yes. Compression at the edge avoids a round-trip to a central compression service.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.