







Distributed inference for mobile, desktop and server.
Planetary-Scale Inference: Building a Distributed Inference Engine for the Public Internet
We are excited to share a preview of our distributed inference stack — engineered for consumer GPUs and the 100ms latencies of the public internet—plus a research roadmap that scales it into a planetary-scale inference engine.

OSDHACK'26 Launch | Speaker Session ft. Ankesh Bharti(building tiles.run)
DLS 2020 Keynote by Vanessa Freudenberg: Croquet. A Unique Collaboration Architecture
ATOM: AT Protocol Over MoQ Transport
This document specifies how the Authenticated Transfer (AT) Protocol can leverage Media over QUIC Transport (MOQT) for efficient data synchronization across decentralized social networks. The AT Protocol's firehose event stream and repository synchronization mechanisms map naturally to MOQT's publish/subscribe model, enabling scalable relay infrastructure, priority-based delivery, and improved resilience for large-scale social data distribution. This specification addresses the challenges of the current WebSocket- based transport and demonstrates how MOQT's relay architecture, group-based caching, and multiplexed streams provide significant benefits for AT Protocol deployments at scale.
Argmax - Foundation Models On Device
Run private, real-time, and predictable inference workloads directly on users' devices.

Self-hosting a Matrix server for 5 years
Experiences with the Matrix protocol, Matrix Synapse server, bridges, and Element mobile apps.
Gajesh on Twitter / X
TL;DRapple has turn on this switch for everyone to participate in decentralized inferenceppl can rent out their unused compute space and anyone can use this with privacy guarantees https://t.co/LTP4zyjsdt pic.twitter.com/8Dvo7XK8jJ— Gajesh (@gajesh) February 18, 2026

AI proxy: fostering a more open ecosystem - Blog - Braintrust
Introducing Braintrust's latest feature: an AI proxy that lets you use open source models like LLaMa 2 and Mistral, as well as all of OpenAI's and Anthropic's models, behind a single interface with caching, security, and API key management built in.
Introducing Kitesurf: The agent-first browser that runs in V8 isolates on Cloudflare Workers
We should be giving all agents tools that excel at what’s important for an AI model. Kitesurf is Cloudflare’s new stateless, highly scalable, and cost-effective web browser that runs entirely on top of Workers and was designed specifically for the Agentic Cloud.

Mesh-LLM/mesh-llm
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
NEAR Intents | Simplifying Web3 Interactions
NEAR Intents let users and AI agents define what they want to do—NEAR handles the rest. A new framework for seamless, multichain execution without complexity, powered by solvers and Chain Signatures.
Open-Source Agentic Inference Benchmark | InferenceX
Compare AgentX, InferenceX's long-context, multi-turn coding scenario, with fixed-sequence AI inference across chips and frameworks. Public NVIDIA and AMD runs update when configurations change.
Melange | On-device AI for Mobile
Select. Benchmark. Deploy | End-to-end on-device AI deployment tool for mobile devs.
Latency optimization | OpenAI API
Improve latency across a wide variety of LLM-related use cases.
