Only a few days ago I wrote about how Nvidia was most valuable than Apple, taking second place, after Microsoft. Well, now Nvidia has taken over Microsoft to| Alain Guillot
With the increasing importance of GPU computing, having a robust and familiar C standard library becomes a valuable asset for developers. The LLVM project is actively working to provide this foundation, as a solid libc implementation enables more complex libraries to be developed for and used on GPUs.| The LLVM Project Blog
NVIDIA introduced the Jetson family, a part of NVIDIA’s embedded systems, designed to provide the required hardware & software to develop AI-powered systems and devices. There are different types of NVIDIA Jetson boards, like Jetson TX2 Series, Jetson Xavier NX, Jetson Nano, AGX Xavier Series, Xavier NX Developer Kit & AGX Xavier Industrial. The Jetson […] The post NVIDIA Jetson Nano : Features, Specifications, Architecture, Working, Differences & Its Applications appeared first on WatEle...| WatElectronics.com
Artificial Intelligence (AI) applications require massive computational power to handle complex mathematical operations like matrix multiplications, deep learning model training, and inference. Over the last decade, three major hardware architectures have become central to AI workloads: Field-Programmable Gate Arrays (FPGAs), Graphics Processing Units (GPUs), and Tensor Processing Units (TPUs). Each of these platforms offers distinct […] The post FPGA vs GPU vs TPU : Best Hardware for AI Ap...| WatElectronics.com
The post NVIDIA Earnings Preview: Blackwell Demand Set to Fuel Another Blowout—and China’s Loyalty Isn’t Going Anywhere appeared first on Futurum. Futurum’s Daniel Newman and Ray Wang share insights on the outlook of NVIDIA’s next earnings release. The post NVIDIA Earnings Preview: Blackwell Demand Set to Fuel Another Blowout—and China’s Loyalty Isn’t Going Anywhere appeared first on Futurum.| Futurum
Sales of GPU-accelerated servers are still hurting margins at Hewlett Packard Enterprise, as they are doing at all OEMs and probably the ODMs, too, but the good news is that they will be hurting less and less as sales of beefier and more profitable general purpose servers are on the rise and as sovereign clouds and neoclouds turn to HPE for iron and pay higher unit prices for gear. … HPE Systems Rebound As Juniper Brings A Further Boost was written by Timothy Prickett Morgan at The Next Pla...| The Next Platform
It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go mainstream with GenAI. … Why Is Japan Still Investing In Custom Floating Point Accelerators? was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
Every OEM in the world has two choices. Choice One: Sell the Nvidia AI hardware and software stack and boost the top line while diluting operating income in their systems businesses. … With AI Boom, Dell’s Datacenter Biz Is Finally Bigger Than Its PC Biz was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
As we talked about a decade ago in the wake of launching The Next Platform, quantum computers – at least the fault tolerant ones being built by IBM, Google, Rigetti, and a few others – need a massive amount of traditional Von Neumann compute to help maintain their state, assist with qubit error correction, and assist with their computations. … IBM And AMD Tag Team On Hybrid Classical-Quantum Supercomputers was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
It has been clear for some time that Japan wants to have a certain amount of economic and technical independence when it comes to cloud computing in the| The Next Platform
Intel has lanched the Arc Pro B50, a graphics card for professional applications based on the Battlemage architecture (BMG-G21 GPU). The post Intel Arc Pro B50 Workstation Graphics Card Launched first appeared on Geeks3D.| Geeks3D
Intel has released a new graphics driver (32.0.101.7028 beta) for Arc GPUs on Windows 10/11 with new games support. OpenGL 4.6 and Vulkan 1.4.323. The post Intel Graphics Driver 32.0.101.70xx (*** 2025.08.28: v7028 beta ***) first appeared on Geeks3D.| Geeks3D
For decades, computers were built for logic -- branching decisions, compilers, databases. But AI flipped the script: today's machines are being rebuilt for one thing above all else -- multiplying matrices at massive scale| Hexmos Journal
AI data centres and cloud computing are demanding strong investment from countries all over the world. The word “Sovereign AI”... Source| CIO Africa
NVIDIAは分散した複数のデータセンターを束ねることで、巨大な仮想的AIスーパーコンピュータを実現するための高速なネットワーク技術「NVIDIA Spectrum-XGS Ethernet」を発表しました。 NVIDIA introduc...| Publickey
Omdia anticipates AI infrastructure spending will peak as a share of total data center investment in 2026, before gradually easing through the end of the decade In sum – what to know: Market to hit $286B by 2030 – Omdia projects strong long-term demand, though the pace of expansion is slowing after a surge between […]| RCR Wireless News
Nvidia's RTX 5070 Ti lineup presents a confusing situation for consumers. While both the desktop card and laptop GPU share the same name, their performance couldn't be more different. We put both through comprehensive testing across 25 games at three resolutions to reveal the stark differences between these similarly-named components. The Hardware Reality Behind the Same Name Despite sharing the "RTX 5070 Ti" branding, these are fundamentally different products. The laptop version uses a smal...| TechPlanet
After bringing full GPU support to Asahi Linux on Apple Silicon, Alyssa Rosenzweig steps back from the project.| Linuxiac
Over the past several years FASRC has seen remarkable growth in GPU demand. The gpu partition has been regularly oversubscribed with near constant 100% utilization. Looking at future trends, GPU co…| FAS Research Computing
AMD announcement of the Radeon RX 9060 graphics card (non-XT version) based on the Navi 44 GPU (RDNA 4 GPU architecture), designed for 1080p gaming. The post AMD Radeon RX 9060 Announced (Navi 44, 8GB GDDR6) first appeared on Geeks3D.| Geeks3D
Imagination's latest driver release supports Vulkan 1.4 and Android 16, enhancing GPU performance and efficiency for developers across platforms. Discover the key updates now.| blog.imaginationtech.com
La inteligencia artificial generativa está revolucionando los procesos de muchas empresas, desde la automatización documental hasta el análisis de grandes volúmenes de datos. Sin embargo, el auge de herramientas de IA en la nube pública plantea dudas legítimas sobre la privacidad, la soberanía del dato y el cumplimiento normativo. Ante este escenario, tecnologías como PrivateGPT […]| Revista Cloud
Like last year, Bootlin engineer Louis Chauvet is attending the 2025 Display Next Hackfest, taking place this week in Toronto, Canada, and hosted by AMD. As described on the event website: The Display Next Hackfest is an event where talented developers will gather to explore the latest technologies and trends in the Linux Display Stack. … Continue reading "Bootlin engineer Louis Chauvet at the 2025 Display Next Hackfest"| Bootlin
Satya Nadella, el director general de Microsoft, lo tiene muy claro: "El nuevo modelo de DeepSeek es realmente impresionante tanto por cómo han logrado...| www.xataka.com
AMD announcement of the Radeon RX 9060 graphics card (non-XT version) based on the Navi 44 GPU (RDNA 4 GPU architecture), designed for 1080p gaming. The post AMD Radeon RX 9060 Announced (Navi 44, 8GB GDDR6) first appeared on Geeks3D.| Geeks3D
FurMark 2.9.0, the popular graphics card stress test and benchmarking tool, is available for Windows and Linux with bug fixes and improvements.| Geeks3D
In this guide, we will walk through the steps to enable GPU passthrough and by extension PCIe passthrough on a virtual machine (VM) deployed through Proxmox. PCIe passthrough provides a path for VM…| Colfax Research
FurMark 2.9.0, the popular graphics card stress test and benchmarking tool, is available for Windows and Linux with bug fixes and improvements. The post FurMark 2.9 GPU Stress Test and Graphics Benchmark first appeared on Geeks3D.| Geeks3D
The version 2.9.0 of GPU Shark II, a monitoring and information utility for graphics cards and GPU, has been released for Windows and Linux platforms. The post GPU Shark 2.9 GPU Monitoring Utility Released first appeared on Geeks3D.| Geeks3D
NVIDIA has officially launched the new GeForce RTX 5050 gaming graphics card. This entry-level graphics board is based on the GB207 GPU (Blackwell architecture) with 2560 CUDA cores and embarks 8GB of GDDR6 memory (first Blackwell card with GDDR6 VRAM, all other cards have GDDR7 modules). The recommended price is USD $249. GeForce RTX 5050 full specifications GPU: GB207-300, Blackwell architecture, TSMC 5nm, base … Continue reading NVIDIA GeForce RTX 5050 Launched (Blackwell GB207)» The...| Geeks3D
Intel has released a new graphics driver (32.0.101.6913 WHQL) for Arc GPUs on Windows 10/11 with bug fixes. OpenGL 4.6 and Vulkan 1.4.315.| Geeks3D
The version 2.9.0 of GPU Shark II, a monitoring and information utility for graphics cards and GPU, has been released for Windows and Linux platforms.| Geeks3D
Aethir is leading the way in decentralised physical infrastructure (DePIN), reshaping how the world accesses GPU computing power. As demand for high-performance infrastructure continues to surge—especially in AI and gaming—Aethir’s mission is to make cloud computing more democratic, accessible, and borderless. On May 23, 2025,... The post AMA with AETHIR – Hosted by Bitfinex & BitFreedomGus appeared first on Bitfinex blog.| Bitfinex blog
Fresh hardware rumors have emerged surrounding NVIDIA’s Blackwell architecture, expanding upon the potential SUPER refresh we discussed in our previous analysis, “Local LLM 24GB and 18GB GPU Options Emerge.” The latest information not only corroborates the existence of the RTX 5080 Super and RTX 5070 Super but introduces a new and potentially crucial SKU for […]| Hardware Corner
NVIDIA has officially launched the new GeForce RTX 5050 gaming graphics card. This entry-level graphics board is based on the GB207 GPU (Blackwell architecture) with 2560 CUDA cores and embarks 8GB of GDDR6 memory (first Blackwell card with GDDR6 VRAM, all other cards have GDDR7 modules). The recommended price is USD $249. GeForce RTX 5050 full specifications GPU: GB207-300, Blackwell architecture, TSMC 5nm, base … Continue reading NVIDIA GeForce RTX 5050 Launched (Blackwell GB207)» The...| Geeks3D
Intel has released a new graphics driver (32.0.101.6913 WHQL) for Arc GPUs on Windows 10/11 with bug fixes. OpenGL 4.6 and Vulkan 1.4.315.| Geeks3D
Discover how to determine the right GPU power for your graphical user interface, ensuring optimal performance and responsiveness for various devices, from smartphones to automotive systems.| blog.imaginationtech.com
Intel has released a new graphics driver (32.0.101.6877 non-WHQL) for Arc GPUs on Windows 10/11 with bug fixes. OpenGL 4.6 and Vulkan 1.4.312. The post Intel Graphics Driver 32.0.101.6874 (*** UPDATED: v6881 WHQL ***) first appeared on Geeks3D.| Geeks3D
FurMark 2.8.1, the popular graphics card stress test and benchmarking tool, is available for Windows and Linux with bug fixes and improvements. The post FurMark 2.8 GPU Stress Test and Graphics Benchmark (*** UPDATED: v2.8.2 ***) first appeared on Geeks3D.| Geeks3D
A new version of FurMark 1.39 is available for Windows. FurMark is a popular stress utility for graphics cards (NVIDIA GeForce and AMD Radeon).| Geeks3D
CPU cores have become significantly wider over the past decade. Ten years ago, the highest-performance CPUs could decode only up to four instructions simultaneously and execute up to eight instruct…| SIGARCH
Hewlett Packard Enterprise is going through yet another restructuring to reduce costs, something we have seen a lot of in the past two decades and a half| The Next Platform
Intel has released a new graphics driver (32.0.101.6877 non-WHQL) for Arc GPUs on Windows 10/11 with bug fixes. OpenGL 4.6 and Vulkan 1.4.312. The post Intel Graphics Driver 32.0.101.6874 (*** UPDATED: v6877 ***) first appeared on Geeks3D.| Geeks3D
Are you designing multi-core or hybrid CPU/GPU systems, but still not hitting your performance targets? You’re not alone. As system architects strive to build ever more powerful SoCs, the focus is too often on compute abundance. More cores, faster engines, more AI acceleration.| Imagination Blog
Discover how GPUs from Imagination Technologies are driving the AI revolution with low-power, flexible solutions for diverse devices and industries. Read the interview with our Chief Product Officer.| blog.imaginationtech.com
在如今 AI 时代,个人开发者和企业都想要高效,经济,且容易部署的 AI 模型,尤其是 DeepSeek 横空出世之后使得个人在部署使用私有 AI 模型方面变得异常简单,但问题随之出现,普通人的电脑无法带动 DeepSeek 发布的更消耗内存更消耗计算能力的模型,普通用户也很难去给自己的每台电脑都配上英伟达 4090,更不用说去管理 GPU 集群,而普通开发者如果想要将自己的模型部署...| blog.einverne.info
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Nvidia unveils Project GR00T AI foundation model for humanoid robots - SiliconANGLE| SiliconANGLE
NVIDIA’s latest GeForce RTX 50 series, featuring the RTX 5080 and RTX 5090, has arrived with cutting-edge advancements tailored for content creators, video editors, filmmakers, 3D artists, and streamers. Built on the new Blackwell architecture, these GPUs offer smarter AI-powered tools and unprecedented performance gains, setting a new standard for creative workflows. Equipped with 5th-generation Tensor Cores with FP4 support, these GPUs significantly enhance AI-powered content creation whi...| Deal Hunters
The version 2.8.0 of GPU Shark II, a monitoring and information utility for graphics cards and GPU, has been released for Windows and Linux platforms.| Geeks3D
En NVIDIA ofrecieron ayer un evento cargado de novedades. Las noticias se centraron en el ámbito de los centros de datos, pero es que como ya sucedió hace dos...| www.xataka.com
The OpenSearch Software Foundation, part of the Linux Foundation, has released OpenSearch 3.0, with experimental GPU-accelerated vector indexing, […]| DEVCLASS
Windows 10 makes it easy to check CPU and GPU brand name and model number with just a few clicks. Here're the steps you should follow.| WindowsLoop
China has lots of coal but it does not have a lot of GPUs or other kinds of tensor and vector math accelerators appropriate for HPC and AI. And so as it| The Next Platform
Explore how GPUs handle embarrassingly parallel problems efficiently, addressing challenges and solutions for edge AI inference and scalable parallel processing.| blog.imaginationtech.com
Reviews of the NVIDIA GeForce RTX 5070 graphics card based on the Blackwell GPU architecture (GB205-300) are available.| Geeks3D
Discover how the IMG DXT GPU revolutionizes gaming smartphones with advanced features, improved battery life, and high-quality visuals for an unparalleled mobile gaming experience.| blog.imaginationtech.com
Poster in institute repository: https://doi.org/10.34734/FZJ-2024-06811| JSC Accelerating Devices Lab
In der Welt der Informatik sind zentralen Prozessoren (CPUs) seit langem das Rückgrat der Rechenleistung, die von Personal Computern über dedizierte Server bis hin zu öffentlichen und privaten Clouds sowie einer Vielzahl von elektronischen Geräten reicht. Mit dem schnellen Wachstum der künstlichen Intelligenz (KI) und der zunehmenden Komplexität von Webhosting-Plattformen, Bare-Metal-Servern und Clouds sind jedoch […]| Stackscale
Discover why GPU performance efficiency matters more than peak performance and how Imagination's PowerVR architecture leads the market in real-world efficiency.| blog.imaginationtech.com
Imagination launches DXTP. A new GPU IP which extends battery life when accelerating graphics and AI workloads on smartphones and other power constrained devices.| blog.imaginationtech.com
Learn how to run GPU accelerated functions on OpenFaaS while using Karpenter to save on infrastructure cost.| OpenFaaS - Serverless Functions Made Simple
For me, SC19 was about the fusion of machine learning and scientific computing. I learned about new technologies from Nvidia, Graphcore, and Cerebras Systems and spoke on a panel about the role of MLPerf in benchmarking HPC systems for machine learning and the many lessons learned. The post SuperComputing 19: HPC Meets Machine Learning appeared first on Real World Tech.| Real World Tech
Previously, Apple’s iPhones and iPads used PowerVR GPUs from Imagination Technologies for graphics. Based on our analysis, Apple has created a custom GPU that powers the A8, A9, and 10 processors, shipping in the iPhone 6 and later models, and some iPads. Using public documents, we demonstrate that the programmable shader cores inside Apple’s GPU are different from Imagination Technologies’ PowerVR and offer superior 16-bit floating-point performance and data conversion functions. We fu...| Real World Tech
Modern GPU’s feature sophisticated instruction sets for executing shaders. However this blog details how difficult and unintuiative it can be to have the shader compiler leverage the optimum …| Martin Fuller's Graphics Ramblings
brought to you by the ITS Research team at QMUL| blog.hpc.qmul.ac.uk
Explore the benefits of sourcing computer parts for high-performance systems. Build efficient, reliable computer systems and reduce costs.| Coruzant Technologies
At CES, Nvidia CEO Jensen Huang unveiled the hotly anticipated consumer-focused RTX 50-Series line up of Blackwell GPUs| DEVELOP3D
Layout is a core concept in Triton for representing and optimizing distribution mappings from source problems to the target hardware compute and memory hierarchy. In this blog post I will talk about linear layout in Triton, the new unifying mechanism over existing bespoke layouts for different purposes. The aim is to provide motivation and an intuitive understanding of linear layout; I will rely on examples and illustrations instead of theories and proofs.| Lei.Chat()
Sarah Johnson| Blog
Patrick Hoefler| Blog
We recently pushed out a new, experimental notebooks feature for easily launching Jupyter servers in the cloud from your local machine. We’re excited about Coiled notebooks because they:| Blog
Enabling the use of the GPU on your Mac M1 with the tensorflow-metal plugin can be challenging because there is a lot of conflicting documentation and older forum questions and replies. I’ve written this article for a Mac M1 running on macOS Sequoia 15.1.1. As of December 2024, you should pair Python 3.11 with TensorFlow ... Mac: tensorflow-metal pip module on M1 chip for GPU support| Fabian Lee : Software Engineer
Explore the future of automotive technology, from software-defined vehicles to augmented reality, autonomous driving, and chiplet innovations, reshaping the industry and consumer experiences.| blog.imaginationtech.com
Discover how AI and AR revolutionise industrial IoT with edge processing, enhancing real-time insights, predictive maintenance, and operational efficiency in manufacturing and smart grids.| blog.imaginationtech.com
Unification of Memory on the Grace Hopper Nodes The delivery of new GPUs for research is continuing, most notable is the newIsambard-AI cluster atBristol. As new cutting-edge GPUs are released, software engineers aretasked with being made aware of the new architectures and features these newGPUs offer. The new Grace-Hopper GH200 nodes, as announced in a previous blogpost, consist of a 72-core NVIDIA Grace CPU and anH100 Tensor Core GPU. One of the key innovations is the NVIDIA NVLinkChip-2-Ch...| QMUL ITS Research Blog
Inside the NVIDIA H200: Specifications, use cases, performance benchmarks, and a comparison of H200 vs H100 GPUs.| blog.ori.co
В очередном обновлении Elcomsoft Distributed Password Recovery (EDPR) была переработана функция, которая распределяет нагрузку на локальные вычислительные ресурсы каждой рабочей станции. Точечные изменения алгоритма распределения нагрузки привели к существенному сокращению времени пере...| Блог Элкомсофт
In de wereld van de informatica zijn centrale processors (CPU’s) lange tijd de hoeksteen geweest van rekenkracht, die alles aandrijven, van persoonlijke computers en dedicated servers tot publieke en private clouds en een breed scala aan elektronische apparaten. Echter, met de snelle groei van kunstmatige intelligentie (AI) en de toenemende complexiteit van webhostingplatforms, bare-metal servers […]| Stackscale
Dans le monde de l'informatique, les processeurs centraux (CPUs) ont longtemps été la pierre angulaire de la puissance de calcul, alimentant tout, des| Stackscale
A Short Guide to PyTorch DDP In this blog post, we explore whattorchrun andDistributedDataParallelare and how they can be used to speed up your neural network training by usingmultiple GPUs. Neural networks, or even deep neural networks, are popular models for machinelearning. Mathematically, they can be interpreted as nested functions withmillions of parameters. If the parameters are tuned well, they can be used tomake predictions, such as when given a photo, it predicts what that photoconta...| QMUL ITS Research Blog
It has become a well known fact these days that the switches that are used to interconnect distributed systems are not the most expensive part of that| The Next Platform
The new Imagination DXS GPU IP boasts a wealth of new features that will make it an integral component of the cockpit, infotainment and driver assistance systems of future vehicles.| blog.imaginationtech.com
Now that you’ve tried out Stable Diffusion on GKE Autopilot via the WebUI, you might be wondering how you’d go about adding stable diffusion as a proper micro-service that other components of your application can call. One popular way is via Ray. Let’s try this tutorial: Serve a StableDiffusion text-to-image model on Kubernetes, on GKE… Continue reading Serving Stable Diffusion with RayServe on GKE Autopilot| William Denniss
In the world of computing, central processing units (CPUs) have long been the cornerstone of computational power, driving everything from personal computers| Stackscale
A new technique is introduced that can do Catmull-Rom interpolation in 2D using only four bilinear samples instead of 16 fetches. This is made possible by preprocessing the input data using a specific sign-flipping scheme, and modifying the interpolation weights and locations accordingly.| Giliam de Carpentier
Data reveals that many modern games spend an increasing amount of time executing post-processing algorithms to enable depth of field, bloom, blur and other effects.| blog.imaginationtech.com
I had some trouble getting the Official Drivers from Nvidia working on a GPU “Tesla V100” headlessmachine in a Datacenter running CentOS 9 Stream.| jjasghar.github.io
To allow concurrent processing of different types of jobs PowerVR GPUs have a data master per job type, including geometry, 3D, compute and 2D (or data movement).| blog.imaginationtech.com
This post helps you to get started with RunPod Serverless for hosting and scaling your AI applications in the cloud.| Ashley's Blog
A team I work with is very happy with the k8s / ArgoCD setup we set up, and now wants to manage their experimental ML workloads in k8s as well. These workloads run in Lambda Labs, who we use to quickly set up a few GPU-enabled Ubuntu machines in varying sizes. Those servers are not part of a managed k8s cluster, but instead you’re given SSH and Jupyter access and expected to deploy your workload yourself.| BackSlasher
brought to you by the ITS Research team at QMUL| blog.hpc.qmul.ac.uk
The version 260.70 of Moore Threads graphics driver for MTT S80/S70 graphics cards is available on Windows 10/11.| Geeks3D
VMA is our single-header, MIT-licensed, C++ library for easily and efficiently managing memory allocation for your Vulkan® games and applications.| gpuopen.com
In today's rapidly evolving digital landscape, virtual desktops have become a popular solution for businesses seeking flexibility and mobility. With virtual| Cloudalize
I had some trouble getting the Official Drivers from Nvidia working on a GPU “Tesla T4” headlessmachine in a Datacenter running CentOS 8 Stream.| jjasghar.github.io
brought to you by the ITS Research team at QMUL| blog.hpc.qmul.ac.uk
Transcribe audio with OpenAI Whisper with GPU acceleration or CPU inference.| OpenFaaS - Serverless Functions Made Simple
If you have a notebook that ships with a Nvidia GPU and you're| 200ok - Accelerating Publishing
brought to you by the ITS Research team at QMUL| blog.hpc.qmul.ac.uk