Tech.Decoded Library

Here you’ll find a continuously growing library of knowledge curated to help you get the most out of modern hardware, bolster your competitive edge, and get to market faster.

 

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Introducing Intel® Tiber™ AI Cloud, built on the backbone of Intel® Tiber™ Developer Cloud and designed for production-scale AI deployments.
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Learn best practices of preparing, analyzing, and running HPC applications on-premise and in the cloud, including parallel code and system resources.
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Learn how DP Technology achieved about 45.2% performance improvement using Alibaba's E-HPC Cloud Service and Intel® hardware and oneAPI software.
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Find out how Google Cloud Platform* service sped up its HPC workloads using Intel® oneAPI Toolkits and Intel® Xeon® processors.
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Learn and practice how to write efficient SYCL code in this advanced, on-demand workshop so you can deploy across CPUs, GPUs, FPGAs, and more.
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AI in Production, Bigger Systems, + Services for Cloud Native Workloads
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Senior engineers from Megware Computer and Intel discuss what to consider when optimizing HPC clusters in heterogeneous computing environments.
Image for: Does DeepSeek* Solve the Small Scale Model Performance Puzzle?
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Learn how the DeepSeek-R1 distilled reasoning model performs and see how it works on Intel hardware.
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Learn to efficiently write SYCL code for heterogeneous computing, including memory management, data dependencies, and subgroups.
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Explore how the AI Kit can streamline machine learning workloads across a hybrid cloud landscape with few (or no) code changes required.
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Learn the basics of cross-architecture SYCL and how it fits into the oneAPI programming model for high performance across CPUs, GPUs, and FPGAs.
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Learn how to take advantage of Intel®-optimized AI software—ML/DL frameworks and libraries—in popular cloud service provider platforms.
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This on-demand workshop unpacks the tools and methods for achieving high-performance, portable SYCL code that can run across different CPUs and GPUs.
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A research software engineer from ENCCS and Intel discuss the evolution of SYCL and its widespread use for cross-platform, heterogeneous programming.
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Intel® Developer Cloud enables AI companies to build, train, & deploy innovative solutions ​on a leading-edge, cost-effective AI acceleration platform.
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Get an introduction to the Intel® oneAPI Base & HPC Toolkit, the new workhorse product for high-performance, heterogeneous computing performance.
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The Intel® Developer Cloud beta is now available. An evolution of the Intel® DevCloud, the new platform offers more pre-launch access to new silicon.
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This quick reference matches the built-in accelerators in 4th Gen Intel® Xeon® processors with Intel® oneAPI and AI tools for different workloads.
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Get a tour of the Intel® oneAPI Base & HPC Toolkit, including how existing Intel® Parallel Studio XE users can transition to the new toolset.
Image for: Maximize Efficiency: Accelerate Roboflow* Performance Using 4th Gen Intel® Xeon® Scalable Processors
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Roboflow achieved 10x gains in AI inference and 3x in data analytics enhancing computer vision models performance with 4th gen Intel® Xeon® processors.
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If your apps rely on complex math routines, this on-demand session is for you. Learn why you want to use the Intel® oneAPI Math Kernel Library.
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Learn how a free, open-source development tool helps improve the features and performance of your volume rendering applications on Intel® processors.
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An Intel physicist discusses what quantum computing can do for society and how Intel is working on solutions to make that future a reality. Listen.
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Learn about the latest open source language initiatives through a panel discussion with Java experts.
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Analyze, tune, and optimize AI and HPC applications and solutions to unlock the power of the 3rd Generation Intel® Xeon® Scalable processors.
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Java developers and performance engineers: Overcome the challenges of analyzing and optimizing your cloud (public, private, or both) workloads.
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A developer’s guide to getting started with Generative AI with Intel AI technologies
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Learn about the key functions of Intel® Integrated Performance Primitives, including calling conventions, usage models, and code samples.
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Learn how Intel® oneAPI Math Kernel Library (oneMKL) can help you develop performant math-heavy applications, and solve heterogeneous GPU challenges.
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Learn how the Intel® VTune™ Profiler Server can help HPC developers profile software on remote systems, especially transient and cloud systems.
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Seekr achieved big business and performance gains after moving production workloads from on-prem to Intel® Developer Cloud at a fraction of the cost.
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Get practical tips for developing AI applications in the cloud.
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A guide on how Intel AI solutions support Falcon 3 models
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Explore how an efficient ghost cell exchange mechanism for a domain decomposition code can effectively hide communication latency in MPI applications.
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Learn how Intel® Inspector helps you analyze, detect, and debug threading and memory errors early in the design process.
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Explore how small form-factor AI PCs can deftly run the Llama 3 70B parameter model locally and at lower cost than a workstation.
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Find out how to take advantage of inter-node, intra-node, and accelerator-device-level parallelism using DPC++ and MPI hybrid programming.
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Learn how to deploy high-availability machine learning solutions on Amazon Web Services using Intel’s new cloud-optimization module for Kubernetes.
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Get the steps for running an open source Stable Diffusion model on Intel® Gaudi® AI accelerators to create your own unique piece of art.
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Bolster Visual AI inference, increase highly parallel compute productivity and code quality assurance for all software developers. oneAPI and AI Tools 2025.1 make your work easier and more productive.
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Use AI techniques to create and modify art.
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Learn a methodology (including the tools) to quickly and efficiently profile systems for in-depth power and thermal behavior.
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Get an overview of oneAPI, including what it is, how it can solve heterogeneous programming challenges, and how to test drive it in the Cloud.
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Spain-based tech company Codee enabled shift-left performance on its platform by using oneAPI tools to automate source code tasks on CPUs and GPUs.
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Get a general blueprint for building an MLOps environment in the cloud to ensure performant model development and deployment.
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Find out how AI-based Intel® Open Image Denoise delivers the most accurate 3D, photorealistic images available and reduces final frame render times.
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TencentDB for MySQL and Intel built a performant MySQL on Intel® Xeon® Processors, optimized by Intel® oneAPI tools, achieving significant gains.
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oneAPI programming model - an alternative to CUDA* vendor lock-in for accelerated parallel computing across HPC, AI, and more on CPUs and GPUs.
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This article shows the initial performance results for Llama 3.2 on Intel's AI product portfolio, including Intel® Gaudi® AI accelerators, Intel® Xeon® processors, and AI PCs.
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Data science engineers from Intel and Argonne discuss Aurora's large-scale HPC platform and how it's going to leverage AI to do really cool things.
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This on-demand workshop focuses on techniques to gain maximum optimization when programming on CPUs, GPUs, and FPGAs using a DPC++ library .
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Validate Alibaba Cloud* Qwen2 LLMs with Intel AI solutions from datacenter to client and edge.
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This tutorial takes an application from execution on CPU to GPU, and then uses VTune Profiler to analyze and optimize both the app and the system.
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Get hands-on practice to achieve performance-portable SYCL code that can run across different CPUs and GPUs on the Intel® Tiber™ Developer Cloud.
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Find out how Intel® VTune™ Profiler can help you optimize application performance, whether you are targeting one or multiple architectures.
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Learn how to migrate your C/C++ code to SYCL with oneAPI so it not only targets FPGAs, but also GPUs and CPUs with the same code.
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Learn how Digital Cortex is leveraging oneAPI to provide unprecedented access to compute across multiple architectures and platforms. Listen [37:07].
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In this on-demand webinar, learn how to use Intel® VTune™ Profiler for full-spectrum performance analysis of applications and systems.
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Learn how Intel® MPI Library helps you execute parallel code across multiple processors while allowing users to run their apps across multiple nodes.
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Be up and running using C++ with SYCL in about 60 minutes, so you can code for multiarchitecture platforms using a single programming language.
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Learn how to optimize your supply chain processes using open source data science technologies from Red Hat coupled with Intel-optimized AI software.
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Intel Labs used oneAPI tools to accelerate and refine a single-cell RNA sequencing pipeline to run faster and cheaper on Intel® CPUs over Nvidia GPUs.
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UC Davis accelerates prompt-driven GenAI for data visualization using Intel® Extension for PyTorch* on Intel® GPUs.
Image for: Technical Articles and How-Tos
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Videos, podcasts, articles, and more on various topics like rendering, AI, and IoT help you improve your code and remove proprietary boundaries.
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Get a solid introduction to the Julia programming language and how to use it for real-world scientific computing in this on-demand workshop.
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Deepen your understanding of heterogeneous C++ programming so you can more effectively create and deploy multivendor applications.
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Get a six-minute introduction to oneAPI, the Intel-led initiative to create a single, open programming model for diverse architectures.
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Get an introduction to oneAPI—what it is, what it includes, and why it was created—and discover why you want to adopt it for heterogeneous computing.
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Get the steps for profiling workloads on the 4th gen Intel® Xeon® CPU Max Series, the first and only x86-based processor with high-bandwidth memory.
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Intel AI solutions support Meta Llama 3.1 launch
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In this on-demand workshop, learn the techniques for profiling your application's performance and eliminating bottlenecks that bog down your code.
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Two healthcare researchers discuss using the power of Intel hardware and oneAPI software to create HPC apps that help explain biological data. Listen.
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Find out how tools in the Intel® AI Analytics Toolkit deliver exceptional performance boosts on Intel® Xeon® processors with almost no code changes.
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Architects of compiler technology discuss how these development tools have emerged and what to expect in the future.
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Get Spack recipes and guidelines to build critical HPC applications simply and efficiently while achieving optimal performance.
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Learn the essential methods for using oneMKL to accelerate math-processing computations and offload application tasks on Intel® GPUs.
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Learn how to analyze and tune your software for optimal performance after it is ported to your target, post-release GPU using Intel® VTune™ Profiler.
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Learn how to design software for CPU to GPU offload and how to optimize the GPU code using the intuitive user interface of Intel® Advisor.
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In this episode of Code Together, learn how the Intel® Liftoff program is helping early-stage startups find their markets and scale their innovation.
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This on-demand session focuses on how to use the Intel® DevCloud to optimize your "vision-type" applications for GPUs.
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