If you haven’t tried it. x.com/gradient_hq/st…

Ever wondered how our chatbot replies in seconds without a central server? It runs on Parallax’s Swarm: a fully decentralized mesh where your prompt is tokenized, segmented, and routed across nodes holding model shards. Each node executes its assigned layers of the LLM, passing

Seeding.

Gradient recently launched 2 game-changing technologies for decentralized AI: • Parallax - distributed inference engine • Lattica - peer-to-peer communication layer for AI Together, they break the centralized mold of AI. Here’s everything you need to know (in 90 seconds) 👇

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

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Can't wait to see you at SBC 2025! More updates coming.

One model. Every device. Zero silos.

People always ask me, what’s the point of having consumer-level GPUs host those models, or even doing decentralized AI generally. I always say: - Because intelligence shouldn’t be gated. - Because the future of AI shouldn’t be owned by a few data centers. - Because there are

Had a blast speaking at UC Berkeley RDI and Stanford Blockchain Accelerator (SBA) about our work on decentralized AI. Grateful for the brilliant minds, thoughtful questions, and the energy in the room. Onward 🧠⚡