Jeton.AI
Edge AI Computing for Web3
Large AI Model Acceleration Platform on Edge Device for Web3 World
Artificial intelligence (AI) market size worldwide from 2020 to 2030
Release date
June 2024
Region
Worldwide
Survey time Period
2020 to 2030
Supplementary notes
Data provided by Statista Market Insights are estimates.
Definition:
Inference is the future
Now with LLM, inference only accounts for less than 20% the expense, it has huge room to grow
Training is the
COST
Inference is the revenue
INCOME
Jeton.AI: Running LLM Effectively on Mobile Device
Jeton.AI Unique Strength
- •Personalized/Compressed AI Model on mobile device
- •Unique Edge Computing Accelerator for Large Model running on Mobile Device
- •LLM and Visual AI Acceleration
- •Open SDK to build embedded AI DApp
- •Open Source of the Edge Computing Framework
- •World's Top AI Performance Optimization Team
Jeton.AI is for AI Democracy
Jeton.AI for On-device Multi/hybrid Model LLM AI
Jeton.AI: For On-device generative AI:
QWen2: 1.5B
Gemma2: 2B
LLAMA2: 7B
ChatGLM: 6B
Mistral-7B-Instruct: 7B
SD Model
Multimodal Model etc.
with native Huggingface compatible
With SOTA int4bit/3bit model quantization
Jeton.AI Can be Easily Integrated with Web3
Jeton.AI for Text-to-Text Smart Chat AI
No GPU required
Data Sharing can earn Crypto Tokens
Jeton.AI for Text-to-Image AI
No GPU required
Data Sharing can earn Crypto Tokens
Jeton.AI Hybrid Model/Multimodal Support
No GPU required
Data Sharing can earn Crypto Tokens
OpenAPI for Partner/DApp Integration
Saving AI Infra Cost for up to 50% for DApps that provide AI Service
- • Model Pruning Service Edge AI Node
- • Acquiring Service Hybrid Edge
- • Acceleration with Cloud AI Service
Orbit Coin Tokenomics (Draft)
Tokens total:
• TBD
Token Inflation:
• Next 2 years 20% (Compensate for
the growth of supply and demand,
predicted growth rate 60%YOY)
Tokens distribution:
- • xx% the Team
- • xx% the Communities (10% reserved for
the first year consumption, 50% reserved) - • xx% for the rest
Tokens mining (Model Data Provider)
determined by the following factors:
- • Developing App for with AI Edge SDK
- • Time of App Usage
- • Customized Model Data sharing
- • Idling time
Token burning (Accelerator Users)
determined by the following factors:
- • LLM Tokens (exchanged to Crypto AI Tokens) used
- • Required Accelerator types
- • 5% Burned
Founding Team
World Best AI Performance Optimization Team
- • Expert of Best Workload Agnostic AI Acceleration Engine (Training and Inference)
- • Leading the Development of MNN.zone of Edge AI Computing
- • Expert of Large Scale AI/Rendering Workload Optimization
- • Leading Expert in GPU/FPGA/NPU Virtualization and Sharing
Breaking AI Performance Records:
- • Stanford DAWN Bench AI Benchmark World Record Breaker
- • TPCx-BB Benchmark World Record Breaker
APAC Largest Public Cloud GPU/ FPGA/ NPU Service's Technical & Business Founder of A* Cloud
Academic Contributions
• Top AI/Accelerator Conference Publications
• GPU/FPGA/NPU Patents worldwide
International Teams located in US, Singapore, HK