Chroma and OpenCLIP Reinvent Image Search With Intel Max
Intel Liftoff mentors and AI developers evaluated the Intel Data Center GPU Max 1100 and Intel Tiber AI Cloud to build a field guide for lean, high-throughput LLM pipelines
Intel Tiber AI Cloud was intended to give developers and AI enterprises scalable and economical access to Intel's cutting-edge AI technology
Advised AI startups to contact Intel Liftoff for AI Startups to learn more about Intel Data Center GPU Max, Intel Gaudi accelerators, and Intel Tiber AI Cloud's optimal environment
Strong hardware, such as the Intel Data Center GPU Max Series, makes possible the performance detailed in this paper, especially the acceleration made possible by Intel Extension for PyTorch
The GPU (Max 1100) can be found as dedicated instances and on the free Intel Tiber AI Cloud JupyterLab environment
The open, standards-based Intel oneAPI programming architecture is easily integrated into the design of the Intel Data Center Max Series GPUs
For embedding extraction and picture loading, use the OpenCLIP Embedding Function and Image Loader from chromadb.utils