๐Ÿ“ฆ

WIA-AI-008

AI Model Exchange Standard
AI ๋ชจ๋ธ ๊ตํ™˜ ํ‘œ์ค€
4
Phases
๋‹จ๊ณ„
15+
Model Formats
๋ชจ๋ธ ํฌ๋งท
100%
Cross-Framework
ํ”„๋ ˆ์ž„์›Œํฌ ํ˜ธํ™˜
โˆž
Interoperability
์ƒํ˜ธ์šด์šฉ์„ฑ
๐ŸŽฎ
Interactive Simulator
์ธํ„ฐ๋ž™ํ‹ฐ๋ธŒ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ

Try model conversion & exchange

๋ชจ๋ธ ๋ณ€ํ™˜ ๋ฐ ๊ตํ™˜ ์ฒดํ—˜
๐Ÿ“š
E-Book (EN)

Complete learning resource

์™„์ „ํ•œ ํ•™์Šต ์ž๋ฃŒ
๐Ÿ“š
E-Book (KO)

Korean learning resource

ํ•œ๊ตญ์–ด ํ•™์Šต ์ž๋ฃŒ

๐Ÿ“‹ Four Phases

๐Ÿ“‹ 4๋‹จ๊ณ„ ํ”„๋กœ์„ธ์Šค

PHASE 1

Data Format & Packaging

๋ฐ์ดํ„ฐ ํฌ๋งท ๋ฐ ํŒจํ‚ค์ง•

Standardize model packaging with ONNX, TorchScript, TensorFlow SavedModel, and custom formats. Define metadata schemas, version control, and model cards for comprehensive documentation.

ONNX, TorchScript, TensorFlow SavedModel ๋ฐ ์ปค์Šคํ…€ ํฌ๋งท์œผ๋กœ ๋ชจ๋ธ ํŒจํ‚ค์ง•์„ ํ‘œ์ค€ํ™”ํ•ฉ๋‹ˆ๋‹ค. ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ์Šคํ‚ค๋งˆ, ๋ฒ„์ „ ๊ด€๋ฆฌ, ๋ชจ๋ธ ์นด๋“œ๋ฅผ ์ •์˜ํ•˜์—ฌ ํฌ๊ด„์ ์ธ ๋ฌธ์„œํ™”๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

  • ONNX universal format support
  • Framework-specific exports (PyTorch, TensorFlow, JAX)
  • Model card metadata standard
  • Semantic versioning for models
  • ONNX ๋ฒ”์šฉ ํฌ๋งท ์ง€์›
  • ํ”„๋ ˆ์ž„์›Œํฌ๋ณ„ ๋‚ด๋ณด๋‚ด๊ธฐ (PyTorch, TensorFlow, JAX)
  • ๋ชจ๋ธ ์นด๋“œ ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ํ‘œ์ค€
  • ๋ชจ๋ธ ์‹œ๋งจํ‹ฑ ๋ฒ„์ €๋‹
PHASE 2

API & Conversion Algorithms

API ๋ฐ ๋ณ€ํ™˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜

Implement cross-framework conversion APIs with optimization pipelines. Support quantization, pruning, and architecture adaptation for different deployment targets.

์ตœ์ ํ™” ํŒŒ์ดํ”„๋ผ์ธ์„ ๊ฐ–์ถ˜ ํฌ๋กœ์Šค ํ”„๋ ˆ์ž„์›Œํฌ ๋ณ€ํ™˜ API๋ฅผ ๊ตฌํ˜„ํ•ฉ๋‹ˆ๋‹ค. ์–‘์žํ™”, ํ”„๋ฃจ๋‹, ๋‹ค์–‘ํ•œ ๋ฐฐํฌ ๋Œ€์ƒ์„ ์œ„ํ•œ ์•„ํ‚คํ…์ฒ˜ ์ ์‘์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

  • Framework conversion APIs
  • Optimization pipeline (quantization, pruning)
  • Architecture validation
  • Automated testing suite
  • ํ”„๋ ˆ์ž„์›Œํฌ ๋ณ€ํ™˜ API
  • ์ตœ์ ํ™” ํŒŒ์ดํ”„๋ผ์ธ (์–‘์žํ™”, ํ”„๋ฃจ๋‹)
  • ์•„ํ‚คํ…์ฒ˜ ๊ฒ€์ฆ
  • ์ž๋™ํ™”๋œ ํ…Œ์ŠคํŠธ ์Šค์œ„ํŠธ
PHASE 3

Exchange Protocol & Registry

๊ตํ™˜ ํ”„๋กœํ† ์ฝœ ๋ฐ ๋ ˆ์ง€์ŠคํŠธ๋ฆฌ

Build secure model registries with authentication, access control, and distribution protocols. Enable model discovery, versioning, and collaborative development workflows.

์ธ์ฆ, ์•ก์„ธ์Šค ์ œ์–ด, ๋ฐฐํฌ ํ”„๋กœํ† ์ฝœ์„ ๊ฐ–์ถ˜ ์•ˆ์ „ํ•œ ๋ชจ๋ธ ๋ ˆ์ง€์ŠคํŠธ๋ฆฌ๋ฅผ ๊ตฌ์ถ•ํ•ฉ๋‹ˆ๋‹ค. ๋ชจ๋ธ ๊ฒ€์ƒ‰, ๋ฒ„์ €๋‹, ํ˜‘์—… ๊ฐœ๋ฐœ ์›Œํฌํ”Œ๋กœ์šฐ๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

  • Centralized model registry
  • Authentication & authorization
  • Model discovery & search
  • Distribution protocols (HTTP, S3, Git LFS)
  • ์ค‘์•™์ง‘์ค‘์‹ ๋ชจ๋ธ ๋ ˆ์ง€์ŠคํŠธ๋ฆฌ
  • ์ธ์ฆ ๋ฐ ๊ถŒํ•œ ๋ถ€์—ฌ
  • ๋ชจ๋ธ ๊ฒ€์ƒ‰ ๋ฐ ํƒ์ƒ‰
  • ๋ฐฐํฌ ํ”„๋กœํ† ์ฝœ (HTTP, S3, Git LFS)
PHASE 4

Integration & Model Serving

ํ†ตํ•ฉ ๋ฐ ๋ชจ๋ธ ์„œ๋น™

Deploy models with production-ready serving infrastructure. Support batch inference, real-time serving, edge deployment, and monitoring for ML operations.

ํ”„๋กœ๋•์…˜ ์ค€๋น„ ์™„๋ฃŒ๋œ ์„œ๋น™ ์ธํ”„๋ผ๋กœ ๋ชจ๋ธ์„ ๋ฐฐํฌํ•ฉ๋‹ˆ๋‹ค. ๋ฐฐ์น˜ ์ถ”๋ก , ์‹ค์‹œ๊ฐ„ ์„œ๋น™, ์—ฃ์ง€ ๋ฐฐํฌ, ML ์šด์˜ ๋ชจ๋‹ˆํ„ฐ๋ง์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

  • Model serving infrastructure
  • Batch & real-time inference
  • Edge deployment support
  • Monitoring & observability
  • ๋ชจ๋ธ ์„œ๋น™ ์ธํ”„๋ผ
  • ๋ฐฐ์น˜ ๋ฐ ์‹ค์‹œ๊ฐ„ ์ถ”๋ก 
  • ์—ฃ์ง€ ๋ฐฐํฌ ์ง€์›
  • ๋ชจ๋‹ˆํ„ฐ๋ง ๋ฐ ๊ด€์ฐฐ์„ฑ

๐Ÿ† Key Features

๐Ÿ† ์ฃผ์š” ๊ธฐ๋Šฅ

๐Ÿ”„ Cross-Framework
๐Ÿ“ฆ Universal Packaging
๐Ÿ” Secure Registry
โšก Optimized Serving
๐Ÿ“Š Model Cards
๐ŸŒ Open Standard