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.

RT @EricY_me: Had a blast speaking at @BerkeleyRDI and @StanfordSBA about our work on decentralized AI. Grateful for the brilliant minds….

RT @EricY_me: People always ask me, what’s the point of having consumer-level GPUs host those models, or even doing decentralized AI genera….

RT @yuangaoyg: One model. Every device. Zero silos.

Parallax shows distributed inference doesn’t need more centralized data centers. It works with the everyday devices we already have. We're building a heterogeneous, peer-to-peer foundation for collective intelligence that anyone can access, contribute to, and build on. Read the.

Distributed Inference, Now in Hybrid. Try it now:

Fast. Even in Hybrid. -3.1× faster E2E and 5.3× lower latency on 72B vs SOTA. -235B performance matches 72B, proving clean scalability. -Both models served on a hybrid mesh of RTX 5090s + Mac M4 Pros—a first for heterogeneous, distributed inference.

Heterogeneous Hardware, Unified Power. Parallax integrates everyday Macs and GPUs with:.-Scheduler: hardware-agnostic, allocates model layers, routes requests. -Executor: runtime for per-device batching & P2P comms, and model runners for GPU (CUDA) and Mac (MLX+Metal).

The Key to Distributed Systems: Parallelism. Parallax shards large models into pipeline stages, directly mapped to nodes across a p2p network. Hidden states flow between Macs and GPUs without a central coordinator, forming a globally distributed, self-healing inference fabric.

We’ll close out SBC week with a mixer alongside @StanfordCrypto & @openmind_agi. An evening of good vibes with fellow builders, researchers, and investors shaping the decentralized future. Join here:.

Earlier on 3 Aug, Eric will also join a morning panel on Blockchain × AI at BASS SBC 2025 by @StanfordSBA, diving into how decentralized infra reshapes intelligent applications. Register here:.

Big week ahead at SBC 25. Our cofounder @EricY_me will deliver a keynote at the Summit on Decentralization and AI 2025, hosted by @BerkeleyRDI, sharing how Gradient is scaling inference beyond the cloud.

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

We love your excitement for our products, don't let scammers exploit it. Always:.✅ Check URLs character by character.✅ Verify the full address of email senders.✅ Follow our official X for trusted updates. Your passion for distributed intelligence matters. Protect it.

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.

RT @Gradient_HQ: Ever wondered how our chatbot replies in seconds without a central server?. It runs on Parallax’s Swarm: a fully decentral….

RT @CipherResearchx: Gradient recently launched 2 game-changing technologies for decentralized AI:. • Parallax - distributed inference engi….

RT @Gradient_HQ: If you haven’t tried it.

Seeding.

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