|
HS Code |
255128 |
| Name | Ivy |
| Developer | Amazon Web Services |
| Category | Machine Learning Platform |
| Release Year | 2023 |
| Programming Language | Python |
| Interface Type | API |
| License | Open Source |
| Documentation Url | https://docs.ivy.ai/ |
| Supported Os | Cross-platform |
| Use Case | Model interoperability and deployment |
| Latest Version | 1.0 |
| Cloud Integration | AWS |
| Community Support | GitHub |
| Primary Feature | Universal Machine Learning Framework |
| Data Format Support | NumPy, TensorFlow, PyTorch |
As an accredited Ivy factory, we enforce strict quality protocols—every batch undergoes rigorous testing to ensure consistent efficacy and safety standards.
| Packing | Ivy is packaged in a sturdy, 500 mL amber glass bottle with a secure screw cap, featuring clear hazard labeling. |
| Storage | Ivy should be stored in a cool, dry, and well-ventilated area, away from direct sunlight and incompatible substances such as strong acids or oxidizers. Keep the container tightly closed when not in use, and ensure it is labeled properly. Store Ivy at room temperature and avoid extreme heat or freezing conditions for optimal chemical stability and safety. |
| Shipping | Ivy is shipped in tightly sealed, clearly labeled containers to ensure safety and prevent contamination. Containers are handled according to hazardous material regulations, kept upright, and protected from extreme temperatures. Appropriate shipping documentation, including Material Safety Data Sheet (MSDS), accompanies each shipment. Transport is prioritized via approved carriers for chemical products. |
Competitive Ivy prices that fit your budget—flexible terms and customized quotes for every order.
For samples, pricing, or more information, please call us at +8615380400285 or mail to admin@sinochem-nanjing.com.
We will respond to you as soon as possible.
Tel: +8615380400285
Email: admin@sinochem-nanjing.com