Hugging Face and Google Cloud have joined forces to transform the development of artificial intelligence with the launch of a new collection of Deep Learning Containers (DLCs). This collaboration offers a significant advancement in the way developers can build and deploy AI models using open models on Google Cloud infrastructure.
The new series of DLCs provided by Hugging Face and Google Cloud includes pre-configured, optimized environments for different deep learning tasks. These containers cover PyTorch training (GPU) and inference (CPU/GPU), text generation (GPU), and text embeddings generation (CPU/GPU). The highlighted features of the new containers are:
– Optimized Performance: The containers are tuned to deliver exceptional performance on Google Cloud infrastructure, including acceleration for text generation inference (TGI), text embeddings inference (TEI), and PyTorch.
– Seamless Configuration: The environment setup is simplified, eliminating dependency issues and facilitating quick deployment.
– Continuous Updates: The containers are effortlessly updated to the latest stable versions, ensuring developers always work with the latest tools.
– Streamlined Workflow: Development and maintenance costs are reduced by simplifying deployment and management processes.
– Robust Security: Leveraging the security features of Google Cloud, the containers ensure a protected environment for AI development.
– Integration with GKE and Vertex AI: The containers are finely tuned for optimal performance, with seamless integration with Google Kubernetes Engine (GKE) and Vertex AI.
– Community Examples: Include community examples to facilitate experimentation and solution deployment.
Additionally, support for Tensor Processing Unit (TPU) is expected to be added soon in the containers for PyTorch training/inference and text generation.
Developers interested in exploring these new containers can find the repository on GitHub and access the available DLCs in Google Cloud documentation.
This collaboration between Hugging Face and Google Cloud promises to make AI development more accessible, powerful, and enjoyable. By offering optimized tools and simplifying the configuration process, developers are empowered to build and deploy complex AI models more easily. Backed by the robust infrastructure and security features of Google Cloud, the new DLCs are designed to drive innovation and accelerate progress in the field of artificial intelligence.
This partnership marks a milestone in the evolution of AI technology, promising a more efficient and dynamic future for the developer community and the industry at large.