Intelligence has been locked in walled gardens. Today, we’re opening the gates. Parallax now runs in Hybrid mode, with Macs and GPUs serving large models together in a truly distributed framework.

The secret behind Parallax’s performance lies in key server-grade optimizations: – Continuous batching: dynamically groups requests to maximize hardware utilization and throughput. – Paged KV-Cache: block-based design prevents memory fragmentation, handles thousands of concurrent requests – Heterogeneous workers: optimal performance across GPUs and Macs. Fast. Reliable. Fully distributed.

-530K requests in 2 weeks -3.3K cities across 148 regions served by just 37K Sentry Nodes -3M p2p connections -98ms median p2p latency Lattica proves how lightweight, peer-to-peer infra can move data swiftly and efficiently, powering coordination across any distributed mesh.

100K+ requests served by Parallax in 2 weeks. 6 continents, 50+ languages. 1 fully distributed experience powered by just a handful of consumer GPUs. Proof that intelligence can break free from centralized chip deals, and run on devices owned by you and me. Next up: Macs

Why Gradient Network’s $10M raise matters for decentralized AI 🧠 Backed by Pantera & Multicoin, @Gradient_HQ is building Lattica & Parallax core protocols for distributed AI inference. Is this the next phase of AI infrastructure? @AnolShaeed reports

Introducing Parallax, the first fully distributed inference and serving engine for large language models. Try it now: 🧵

Announcing Lattica The universal data motion engine. 🧵

A truly decentralized AI runs on a truly decentralized machine network. 👇Apply to join the Edge Host Pilot and power the intelligence of the future.

Announcing our $10M seed round led by @PanteraCapital and @multicoincap, with participation from @hsgcap, distinguished partners, and top angels across AI and crypto. This milestone fuels our mission to build the world’s first fully decentralized AI runtime. 🧵

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