Empowering to Build decentralized
From data-driven enthusiasts to seasoned developers, AiDocker is the go-to destination for creating, training, and deploying AI models with ease and efficiency.
Opportunity
Harnessing the Power of GPUs and Data for AI Breakthroughs
In the AI realm, the combination of computational strength and data is crucial. GPUs offer the essential power for intricate calculations, with varied datasets fueling insights and innovation. AiDocker leverages this fusion, creating a platform that opens new possibilities in AI advancement.
PROBLEM AND SOLUTION
Overcoming Barriers in AI DevelopmentYour comprehensive solution for all AI-related needs.
Compute demand
Developers face growing demands for computational power, often hindered by the scarcity of accessible, high-performance resources.
Rentable GPUs
AiDocker's DePIN network provides scalable GPU resources, enabling users to easily meet the computational demands of their AI projects.
Data accessibility
Developers often struggle to access current, diverse datasets, hindering their ability to innovate and effectively train AI models.
Data Marketplace
AiDocker offers a vast dataset library, providing developers with diverse, high-quality data essential for a variety of AI projects.
Centralization
The centralized nature of current computational resources leads to bottlenecks and inefficiencies, hindering optimal performance.
Decentralization
AiDocker's decentralized platform streamlines AI development by providing an integrated environment for model training.
FineTune
The Annotation Tool For Top-quality Training Data
At AiDocker, our approach to AI model development is meticulously crafted. Following the research and development of Large Language Models (LLMs) and their training, we embark on a critical phase: data profiling and annotation. This process is pivotal in providing data tailored to specific developer needs.
Revenue Stream
Monetize Your AI Innovations and Contributions
AI Enthusiasts can earn revenue, making AiDocker a mutually beneficial
Payout
Our protocol will have high end GPus to average
NextPayout
5.98 $
Last Payout (05 Jan 2024)
10.98 $AID
~44.65 USD
Earning
Our protocol will have high end GPus to average
Unpaid $AID
12.98 $AID
-24.65 USD
Expected Earning
50.98 $AID
-100.65 USD
Reputation Score
60 %
Bandwidth
Our protocol will have high end GPus to average
Download â–¼
10mbps
Download â–¼
10mbps
My Income
Our protocol will have high end GPus to average
Total Income
123.98 USD
Architecture
AiDocker's Ecosystem: A Symphony of FeaturesOur platform is rich with features that enhance your AI development
Analytics
Unprecedented Surge in AI Hardware DemandSaaS companies spend 50%+ of their cost of goods sold (COGS) on infrastructure hosting costs. As demand for AI software grows, the demand for hardware could rise accordingly.
Enterprice value (Trillion, USD)
Our protocol will have high end GPus to average
Project hardware spend driven by AI
Our protocol will have high end GPus to average
Roadmap
Mapping the Future of AiDockerOur roadmap is a testament to our commitment to growth and innovation.
Q4
2023
CompletedResearch and Case Study
Conceptualization
Initial Development
Project Funded by Co-Founders
Internal Testing
Q1
2024
Not StartedPlase 1.0
Social Media Engagement
Workshop for Community Growth
Web3 Partnerships and Integrations
Pre-Seed Round
Advisors Onboarding
Plase 2.0
Private Round
Beta Testing (GPU Marketplace)
Initial DEX Offering (I.D.O)
Early Partners Onboarding
CEX/DEX Listing
Staking Pools Opening
Q2
2024
Not StartedMarketing Campaigns
Dataset Marketplace Launch
Dataset Monitoring Telegram Bot
Expanding Blockchain Integrations
Team
Meet the Founding Team
Saurav
Co-Founder
Ashok
Co-founder
Xinthi
CMO
FAQ
Frequently Asked Questions
What is AiDocker?
How does the DePIN network function?
Can I contribute to AiDocker's dataset library?
What are the revenue opportunities on AiDocker?
How can I get started with using AiDocker?
To get started, sign up on our platform. You'll gain access to our resources, including datasets and GPU power, and can begin developing and deploying your AI models.
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