AnyCores Introduction
AnyCores offers a fast device agnostic AI model tuning and inference platform that is designed to significantly reduce the cost and improve the efficiency of AI models. This innovative platform provides consultation, an optimized networks zoo, and a platform for reducing AI model costs through faster execution, cost reduction, and footprint reduction during model deployment. AnyCores supports a wide range of devices including Nvidia and AMD GPUs, as well as Intel, ARM, and AMD CPUs, making it versatile for both servers and edge devices.
Key Features of AnyCores
Faster Execution
- Reduce inference time by over 10x times.
Cost Reduction
- Optimize performance to cut down on deployment costs.
Device Agnostic
- Compatible with Nvidia, AMD GPUs, Intel, ARM, and AMD CPUs.
- Suitable for both servers and edge devices.
How AnyCores Works
Machine learning models, especially deep neural networks, tend to be computationally heavy. Running these models in the cloud can be expensive due to their resource-intensive nature. AnyCores addresses this issue by optimizing the performance of networks, potentially providing up to 10x acceleration. This optimization not only reduces costs but also makes it feasible to move computation from the cloud to the edge.
Deep Learning Compiler
- Translates AI models developed in frameworks like PyTorch and TensorFlow into new environments without dependency and reimplementation needs.
- Provides highly optimized, low footprint networks tailored to specific deployment scenarios.
- Outputs can be in various formats including Python wheel package, Nuget package, Jar package, or a combination of header and DLL.
Input and Output
- The input to the compiler includes neural network model files exported from PyTorch, TensorFlow, or ONNX.
- The compiler produces optimized code for the selected target, which can be CPUs, GPUs, or specific hardware accelerators.
Request a Demo
For those interested in reducing the cost of their AI models and improving efficiency, AnyCores invites you to request a demo. This is an excellent opportunity to see firsthand how AnyCores can benefit your AI model deployment and execution.
Contact us at [email protected] for more information and to schedule your demo.
Development Timeline
AnyCores is in the process of developing an automated solution platform that is expected to be completed by the end of 2024. This platform will further streamline the optimization and deployment of AI models, making it even more accessible to a wide range of users.
Conclusion
AnyCores stands out as a revolutionary platform for the tuning and inference of AI models across a variety of devices. By offering significant cost reductions, faster execution times, and device-agnostic support, AnyCores provides a valuable solution for anyone looking to optimize their AI model deployments. Whether you're running models on servers or edge devices, AnyCores has the tools and expertise to enhance your AI applications.
