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@affectively/aether

v5.0.0

Published

13 days ago

Aether — distributed inference runtime

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inference distributed transformer gguf wasm simd

Aether

Distributed inference runtime for the AFFECTIVELY platform.

Aether is the medium through which hidden states flow between layer nodes across the network. It orchestrates transformer layer computation across Cloud Run nodes, Cloudflare Workers, and local processes.

Architecture

Coordinator — orchestrates layer nodes, manages KV cache, tokenization, and sampling
Layer Node — processes a subset of transformer layers with weight caching and dequantization
gRPC Client — HTTP/2 binary transport between coordinator and layer nodes
Local Client — in-process computation eliminating network round-trips
Generic Pool — dynamic model loading with LRU weight eviction

Log Namespaces

All Aether components use structured log prefixes:

| Prefix | Component | |--------|-----------| | [Aether:Coordinator] | Main coordinator | | [Aether:Node] | Layer node | | [Aether:Layer N] | Per-layer debug | | [Aether:gRPC] | Inter-node client | | [Aether:Generic] | Generic warm pool | | [Aether:Local] | In-process node |

Logs route through DashRelay to the aether-logs room for real-time monitoring in Forge.

License

Copyright (c) 2026 Taylor William Buley (https://buley.fyi). Personal, non-commercial, and academic use only. See LICENSE.