Winning Health Optimizes LLMs in Healthcare
…When computing is underway, vast data needs to be stored in memory temporarily and read for subsequent computing. The speed of memory access—instead of the computing power—has thus become the…
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Optimize Fine-Tuning and Deployment of LLMs on an AI PC
…By Kelli Belcher AI software solutions engineer Fine-tuning and deploying large language models (LLMs) with billions of parameters requires significant memory and computational resources. To reduce these demands, we created a…
Bring Optimized AI Models to AI PC with OpenVINO™ Toolkit
…Model Fine-Tuning on Intel Gaudi AI Accelerator In the dynamic realm of GenAI, fine-tuning LLMs, such as Llama 3, poses significant challenges due to the computational and memory requirements. However…
Code Sample: Vector Add
…0, 1, 2, … Allocate Device Visible Memory To compute on the device, you need to make the input vectors visible to it and copy back the computed result to the host. Along…
Intel® Fortran Compiler
…accelerator offload, disjoint memory management, and API calls. Accelerate Lower-Upper (LU) Factorization Using Fortran, Intel® oneAPI Math Kernel Library, and OpenMP * Find out how to offload linear algebra computations (specifically, LU…
Migrating CUDA to SYCL Achieved Up to 1.9x Performance Improvement
…Sample computational stencil and mapping to 1D Array Challenge: Vendor Hardware Lock-In Fueled by high computational throughput and energy efficiency, GPUs have been quickly adopted as computing engines for high-performance…
PAGANI & m-Cubes
…Traditionally, the proprietary CUDA programming model has been the most popular but is exclusively targeted to NVIDIA GPUs. Parallel computing platforms such as GPUs are greatly suited for parallelizing numerical integration. Unfortunately…
Numenta and Intel Accelerate Inference
…effort on a GPU platform versus a CPU platform. Numenta models are more compute efficient than traditional models, but this increased efficiency tends to place higher demands on memory bandwidth. When running…
NHN Cloud Offers New AI Cloud Service
…required advanced computing capabilities designed for AI workloads. The Korean CSP chose 4th Gen Intel Xeon processors along with GPUs to power its 88.5 pF supercomputer. Both the GPUs and the…
JMA Improves Linear Precipitation Prediction
…That system was built on Fujitsu’s A64FX processor with 32 GB of high-bandwidth memory (HBM) per CPU. But, to further enhance their technology roadmap, they needed additional computing capacity to…