2026-10-11 16:36 UTC

distributed-inference

band: warmmomentum: stable score: 0.468
temperature history

Episodes (15)

llama.cpp will merge PR 26291, and broader testing will determine whether its configurable RPC loading threads substantially reduce very-large-model load times across distributed hardware without serving regressions.
expiredknownscott: low
Independent testing will determine whether Lumabri can practically distribute storage and inference for very large MoE models across ordinary networked computers.
expiredconvergesscott: medium
Independent reproduction will determine whether Cascadia can practically shard and run 70B-class models across clusters of commodity Intel laptops.
expiredknownscott: medium
Independent deployments will determine whether Lumabri and Colibri can serve mixture-of-experts models across peer-to-peer commodity machines with practically useful throughput and reliability.
expiredknownscott: medium
Independent reproduction will determine whether DumpsterCluster can pool heterogeneous retired GPUs to serve modern LLMs with practically useful throughput, reliability, and cost efficiency.
expiredconvergesscott: medium
Independent benchmarks will determine whether Cascadia’s distributed-inference approach can pool Intel PCs to run LLM workloads with practically useful performance, reliability, and economics.
expiredknownscott: low
Independent deployments will determine whether Yeschef can reliably dispatch Claude Code tasks across pooled LAN-hosted Ollama workers with useful throughput, task quality, and operational simplicity.
expiredknownscott: medium
Independent deployments will determine whether Expert Sniper can pool multiple Apple Silicon Macs to run a single local model with practically useful throughput, reliability, and cost efficiency.
expiredknownscott: low
Maintainer review and independent validation will determine whether the submitted fixes adequately remediate the security weaknesses identified in Darkbloom’s distributed idle-Mac inference system.
expiredknownscott: low
Leiolai claims its launched consumer-device compute network can serve long-context inference through an OpenAI-compatible API at unusually low cost while compensating device owners for contributed compute.
expiredconvergesscott: medium
Exo’s maintainers claim their released distributed-inference runtime can pool heterogeneous local devices to run models too large for one device, potentially expanding practical local-model capacity.
expiredknownscott: medium
Nehanth presents SwarmLLM as enabling peer-to-peer Qwen 3.8 27B inference in browser tabs, potentially making browsers a practical distributed model-execution platform.
expirednovelscott: low
Nehanth Narendrula claims the released SwarmLLM WebGPU and WebRTC runtime splits a 27B model across laptop and phone browser tabs at interactive decode speeds, enabling cooperative local inference without native installation or server-side model execution.
seedconvergesscott: medium
Nibia's maintainers claim their released v0.7.0-alpha Fabric pools CPU and RAM across trusted-LAN machines via partitioned GGUF execution, running models up to ~30B that exceed any single node's memory; independent multi-node replication and real usage decide whether distributed CPU/RAM inference is practical rather than merely released.
corroboratedconvergesscott: high
am17an's merged llama.cpp PR #26610 adds RPC '-sm tensor' — tensor parallelism across networked machines (author-demonstrated on 2x DGX Sparks over RDMA, independently confirmed by ryan5rdx on 2x M3 Ultra, running a 284B-param MoE at 619 pp2048 / ~20 tg128) — and becomes a practical multi-machine local-inference pattern if outside users adopt it across their own clusters with replicated throughput; quiet disuse after the merge closes it.
watchingconvergesscott: high

Trajectory notes