Cluster

PROTOCOL

Proof of compute protocol

Proof of compute protocol and Open Source Community for decentralized AI models.

Key Offerings

< FEATURES >

Decentralized Datasets

Utilize a vast, secure, and decentralized repository of datasets, fostering innovation and collaboration across various AI research fields and applications.

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Problems & Solutions

problems

Limited GPU Accessibility

High-performance GPUs are expensive assets beyond the reach of many developers, hampering AI innovation.

Democratized GPU Access

We enable anyone to leverage GPUs on-demand for all their compute needs, opening up AI capabilities.

problems

Scarce Training Data

Quality datasets required for robust model training remain siloed, making access a challenge.

Decentralized Data Sharing

Our platform unlocks dataset sharing in a secure, governed way to advance collective knowledge.

problems

Prohibitive Compute Needs

The computational power required for training complex models is prohibitive for most.

Distributed Model Training

By pooling compute resources, we effectively lower the barriers to training cutting-edge models.

problems

Monetization Hurdles

Developers lack straightforward ways to deploy models and generate revenue from their AI work.

Seamless Model Monetization

We empower developers to easily deploy models, integrate with apps, and earn rewards for their creations.

Price Comparison Chart

GPU
A100 80GB$1.15/hr$1.50/hr$3.67/hr$5.07/hr$5.12/hr
A100 40GB$0.65/hr$0.8/hr$3.4/hr$3.67/hr$4.1/hr
V100$0.4/hr -- $3.06/hr$2.95/hr$3.06/hr

Architecture

How it Works?

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ROADMAP

Phase 1

Q4 2023

■ Team formation and whitepaper

■ R&D in Generative AI

■ Proof of compute protcol Development

Phase 2

Q1 2024

■ Incentivised Testnet rollout for Proof of Compute

■ Support for confidential computing environments and hardware

■ Onboard first wave of AI partners

■ Enable GPU listing and rental marketplace

■ Platform live on beta for AI models listing

■ Deploy to Earn implementation

■ Token launch and airdrop

■ ClusterBUILD community - a network for GPU nodes, AI model deployers and AI model users. live on beta for AI models listing

Phase 3

Q2 2024

■ Mainnet launch

■ Token Delegation

■ SDKs and APIs for enterprises to build/deploy models

■ Support for federated learning

■ Integrations with storage/CDN partners

■ Integrating the Decentralized Datasets

■ Train your own custom models over decentralized datasets

■ Distribute ecosystem funds as grants to enable builders to build on our platform

Meet our Team

Prateek

Prateek Bhatia

CEO and Co-Founder

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Yatharth

Yatharth Jain

CBO and Co-Founder

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Nishant

Nishant Chinchole

COO

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Tauqeer

Tauqeer Ahmad

Network Engineering/DevOps

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Hamza

Hamza Rizvi

Backend & Cloud Engineering

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Vishnu

Vishnu

AI Researcher

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Anjali

Anjali Rajput

Social Media and Community Head

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Prithvi

Prithvi Roy

UI/UX and Design

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Backers & Investors

Pivot

Pivot

Web 3.0 Venture Capital & Accelerators

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Genesis

Genesis Capital

Web3 investment, acceleration and advisory

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Ashish Sood

Ashish Sood

CPO - Polytrade

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Ryan Horn

Ryan Horn

Ex Binance

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Anshul

Anshul Dhir

Ex Founder EasyFi Network

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Vijay

Vijay Pravin

( Mentor )

Founder & CEO BitsCrunch

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+ Many More

APIs & SDKs

Utilize Cluster AI's suite of AI services covering model training, datasets, GPU compute and more to build custom applications via developer-friendly APIs and SDK kit.

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Coming Soon!

FAQs

What is Cluster Protocol?

Cluster Protocol is a proof of compute protocol and Open Source community for decentralized AI models. In simple words, we are a decentralized hub of everything AI.

Can I monetize the models I create and train using Cluster?

Yes, you retain ownership of any models you develop on Cluster Protocol and can easily deploy them for revenue generation using our integrated services.

Will Cluster Protocol support training models with private, sensitive datasets?

Yes, Cluster Protocol will enable controlled, secure model training using private datasets via encryption and federated learning techniques that keep data localized.

How does Cluster Protocol ensure the security of datasets and models?

We utilize encryption, access controls, and data partitioning to protect assets. Models and data never reside in one place, and nodes are validated using proofs-of-compute.

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