Lumabri
Run Moe Models on a P2P Swarm with Colibri
Details
- External ID
- 49293523
- Source
- HN
- Company
- —
- Product
- Lumabri
- Website domain
- github.com
- Launched
- Aug. 14, 2026
- Cohort
- —
- Upvotes
- 48
- Upvotes percentile
- 0.8561827956989247
- Tags
- —
- Fetched at
- Sept. 10, 2026, 5:32 a.m.
- Updated at
- Sept. 10, 2026, 5:32 a.m.
Enrichment
- Theme
- developer tools for ai agents
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- run models on p2p swarm
- Manually corrected
- False
Could you build this?
No Running decentralized Mixture-of-Experts (MoE) LLM inference across a peer-to-peer swarm demands specialized distributed systems engineering, tensor parallelization, and P2P networking protocols.
What it would actually take: Architecture requires a custom peer-to-peer transport protocol (e.g., libp2p) combined with distributed dynamic tensor parallelism (similar to Petals or Hivemind). Hard challenges include latency-sensitive pipelined expert routing across asymmetric consumer internet connections, fault tolerance against dynamic peer dropouts, and custom CUDA/Triton kernels for decentralized MoE execution.
Discussion
19 comments analyzed.
Competitors mentioned: MeshLLM, llama.cpp
Concerns raised: Floating point determinism issues across different hardware and instruction sets, High latency for inference, especially over internet vs local networks, Accumulation order differs across CPU/GPU peers in same swarm, Lack of concrete performance benchmarks and statistics in documentation
Feature requests: Add performance stats and experiment logs (throughput, latency, bandwidth per model), Integrate HuggingFace model support directly like llama.cpp does, Use specific model repository names instead of vague model identifiers, Support for arbitrary layer chunking to increase memory throughput, Support for IoT/busybox devices contributing to inference swarms
Competitors
Other products that read as similar to this one — 1013 launches clear the similarity bar, closest 8 shown.
Attention rank: #116 of 1014 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 287 days after the earliest competitor.
- genpark-multi-agent-token-bucket-gossip-protocol-skill · github · 2026-09-28 · 7 upvotes · similarity 0.58
- A tool to manage a swarm of coding agents on Linux · hn · 2026-04-10 · 5 upvotes · similarity 0.56
- Swarmmy · github · 2026-09-22 · 22 upvotes · similarity 0.56
- SwarmClaw · hn · 2026-03-01 · 5 upvotes · similarity 0.53
- Flocker.md · hn · 2026-08-19 · 7 upvotes · similarity 0.50
- Freeport · hn · 2026-07-08 · 67 upvotes · similarity 0.50
- Agent Swarm · hn · 2026-02-26 · 63 upvotes · similarity 0.49
- SwarmFeed · hn · 2026-04-04 · 5 upvotes · similarity 0.49
Other launches for this product
Same idea, different domain
Nobody's really built a model & infra tool for Fintech yet.