ParalleliX

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ParalleliX

ParalleliX

@prlxai

Decentralized Parallel Computing Network #DePCN . Workloads split into sub-tasks, dispatched across independent GPU/CPU nodes.

Katılım Mayıs 2024
4 Takip Edilen75 Takipçiler
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ParalleliX
ParalleliX@prlxai·
🟨 The ParalleliX Console is open > console.deploy(DEMO) [OK] interface · online [OK] task engine · ready [OK] demo env · live ▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰ 🖥 app.parallelix.io ▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰ Parallel execution, no longer a diagram. Submit a workload. Watch it split into independent sub-tasks. See them dispatched across nodes, run at once, and collapse back into a single result. The thing we've been describing, now running in front of you. - LOGIN. → connect wallet - SUBMIT. → deploy a workload - OPERATE. → watch it parallelize Live nodes, operator CLI, and full docs ship next. → app.parallelix.ioparalleix.iot.me/ParalleliX Decentralize. Parallelize. Execute. #ParalleliX #DePIN #ParallelComputing #AI $PRLX
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ParalleliX
ParalleliX@prlxai·
> network.intro() ParalleliX is a decentralized parallel-compute network designed for computing tasks split in parallel... It splits heavy workloads into independent units, dispatches them across a global node fabric, and aggregates the results —> one task in, many machines, one result out. // WHAT IT RUNS > AI distributed training and inference > Big Data large-scale parallel analysis > Blockchain offloaded proofs and contract execution > Research simulation across distributed nodes > Media rendering split across the fabric // THE TOKEN $PRLX is the unit of exchange between task submitters and the compute providers running their workloads. Payment, staking, and node incentives. One asset, aligned across the network. 🔽What's live now: → Site · paralleix.io → Console demo · app.parallelix.io → Node CLI demo · parallelix.io/node-cli Docs, $PRLX public launch and live node ship next. #ParalleliX #DePIN #ParallelComputing #AI $PRLX
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ParalleliX
ParalleliX@prlxai·
xPowering the Future of Parallel Computing ParalleliX redefines parallel decentralized computing: > Parallel Execution with faster, efficient task processing. > Tap into a worldwide compute network. > AI, blockchain, big data, and more. 🌐 paralleliX.io $PRLX
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ParalleliX
ParalleliX@prlxai·
> site.deploy() paralleix.io website is now live. The compute network has a front door. One workload. Many machines. One result. The architecture, tokenomics, and NodeCLI are public. Decentralize. Parallelize. Execute. #ParalleliX #DePIN #ParallelComputing $PRLX
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ParalleliX
ParalleliX@prlxai·
The Next Era of Computing Imagine splitting a massive problem into smaller tasks. Each task is solved at the same time. Traditional systems can’t keep up. Parallel computing is the key to solving large-scale problems. PARALLELIX.IO - T.ME/ParalleliX
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ParalleliX@prlxai·
@const_reborn @jon_durbin Different layer of the stack. Bittensor subnets need compute. ParalleliX orchestrates parallel execution across decentralized nodes: training, inference, simulation, rendering. Subnets pulling compute from ParalleliX is worth exploring. Parallel is the primitive.
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const
const@const_reborn·
@jon_durbin Parallax is an important name in Bittensor
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Jon Durbin
Jon Durbin@jon_durbin·
You can force an architecture into decentralized training, or you can craft an architecture specifically for decentralized training (and ultimately insanely performant inference). Stop trying to fight gravity. "Parallax", so far, is working exceptionally well. Surrogates, expert offload, stratified decoupled diloco, etc. All pretty great to make training work at scale across the internet. But... The biggest benefits are actually AFTER training, via specific model architecture choices that drastically reduce VRAM and increase throughput. These giant MoEs are wasting so much VRAM and compute for all of the many routed experts, it's insane actually. So much research already showing that MoEs can be massively compressed/pruned/ternary-distilled/etc., not to mention they are generally comparable to around 2.5-3x dense model equivalents of the ACTIVE parameter count. KV cache is a huge bottleneck, and these huge routed experts are often "dead weight" that consume it needlessly. We need to do better, so we will.
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ParalleliX
ParalleliX@prlxai·
SIMPLIFYING PARALLEL COMPUTING Breaking tasks into smaller parts to solve problems faster and more efficiently. > Parallel Computing for AI - delivering the computational power needed for: ✅ AI training ✅ Real-time inference ✅ Big data processing Parallel & decentralized
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ParalleliX
ParalleliX@prlxai·
🟡 Parallel & Decentralized Computing ParalleliX Network is transforming global computation by splitting complex tasks into parallel units processed across decentralized nodes. Faster. Scalable. Accessible. 🌐 Coming Soon: paralellix.io #ParalleliX $PRLX #AI #DePIN
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ParalleliX
ParalleliX@prlxai·
RUN EVERYTHING IN PARALLEL WITH $PRLX
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