Hyperspace (P2P inference network)
Decentralized peer-to-peer AI inference network. 2.7M+ CLI downloads, 2M+ active nodes globally as of April 2026. Three-tier model routing (local registry → DHT → gossip broadcast) supports any GGUF model. The April 2026 milestone: 32 anonymous nodes collaboratively trained a language model in 24 hours — the first cross-consumer-device training run with no trusted infrastructure.
Overview
Decentralized peer-to-peer AI inference network. 2.7M+ CLI downloads, 2M+ active nodes globally as of April 2026. Three-tier model routing (local registry → DHT → gossip broadcast) supports any GGUF model. The April 2026 milestone: 32 anonymous nodes collaboratively trained a language model in 24 hours — the first cross-consumer-device training run with no trusted infrastructure.
Stack & relationships
How Hyperspace (P2P inference network) relates to other entries in the catalog — recommended pairings, alternatives, dependencies, and edges to avoid. Each edge carries a one-line operator note from our editorial team.
Alternatives
- Competes withPetals
Both are consumer P2P inference. Petals is older and BitTorrent-flavoured; Hyperspace is newer and tries to ship a more polished consumer experience. Category still has no undisputed winner — watch the next 6-12 months.
- Alternative toExo
Different consumer-multi-machine paths. Exo is Apple Silicon LAN clustering; Hyperspace targets WAN P2P. Pick by hardware and trust model.
Pros
- True P2P inference — no centralized server dependency
- Three-tier model routing finds any node with the model loaded
- Browser client (WebLLM) plus CLI plus tray app
- Cache layer eliminates redundant computation across the network
Cons
- Inference latency depends on network mesh state
- Privacy model still maturing — verify before sending sensitive data
- Smaller model selection vs running locally with full Ollama catalog
Compatibility
| Operating systems | macOS Linux Windows Browser |
| GPU backends | consumer GPUs via node-llama-cpp Apple Silicon WebLLM in browser |
| License | Open source · free (OSS) — pay-per-block on the live network |
Runtime health
Operator-grade signals on how actively Hyperspace (P2P inference network) is being maintained, how fresh its measurements are, and what failure classes operators have flagged. Every label below is anchored to a real date or count — we never infer maintainer activity we can't show.
Release cadence
Derived from the most recent editorial signal on this row.
8 days since last refresh · source: lastUpdated
Benchmark freshness
How recent the editorial measurements on this runtime are.
No editorial benchmarks for this runtime yet.
Community reproduction
Submissions that match an editorial measurement on similar hardware.
No community reproductions on file yet.
Ecosystem stability
Editorial rating from RunLocalAI — qualitative, not measured.
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Frequently asked
Is Hyperspace (P2P inference network) free?
What operating systems does Hyperspace (P2P inference network) support?
Which GPUs work with Hyperspace (P2P inference network)?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we evaluate tools.
Related — keep moving
Verify Hyperspace (P2P inference network) runs on your specific hardware before committing money.