…PNU did find performance issues in some of their specific workloads, requiring a path toward optimizing how they run. Experiments running the workload on new HPC systems could not boost performance. Running…
…Optimized Performance – watsonx.data is optimized for Intel® architecture and technologies, delivering exceptional query performance and price-performance. IBM watsonx.data is part of the IBM watsonx platform . The platform is designed…
…Solution While Anodot already runs their AI platform on Intel® CPUs, the team extended their collaboration with Intel to create performance tests to optimize the performance of their Autocorrelation Function (ACF) and…
…As the project matured into a true optimizing compiler for HPC workloads, the team launched DevitoPRO, an enterprise edition with proprietary features, advanced performance optimizations, and commercial support. DevitoPRO primarily serves exploration…
Winning Health Optimizes LLMs in Healthcare Winning Health LLM, WiNGPT, leveraging Intel® technology, meets performance demands for healthcare institutions. At a glance: Winning Health Technology Group Co., Ltd. was founded to “enhance…
…Using Intel® Tools to Accelerate Diagnostic Performance & Delivery "We at HippoScreen have been able to take advantage of the software optimizations in Intel® Extension for Scikit-learn and Intel® Optimization for PyTorch…
…Intel Optimizations Powered by oneAPI Intel optimizes deep learning frameworks like TensorFlow and PyTorch with oneDNN, an open source, cross-platform performance library of basic building blocks for DL applications. These optimizations…
…LLM optimizations from Intel are publicly available in open source software. To attain peak performance for LLMs, follow the LLM guide on GitHub* . An example of Intel’s relentless software optimization of…
…Optimization complementary to Cloud Kinetics' existing portfolio of cloud services, purpose built to improve application performance and reduce cloud costs. Rapidly Expanding User Base: Cloud Kinetics advises a 350+ client list of…
…Using graph optimization to reduce the overhead of operator and kernel calls. Different computation methods may exhibit significant performance differences at the inference engine and hardware level. Graph optimization is an optimization…