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#1 AI カンファレンス - GPU テクノãƒã‚¸ カンファレンス - NVIDIA
NVIDIA GTC wrapped up a fantastic week in San Jose, bringing together thousands of developers, researchers, and business leaders to explore AI breakthroughs that are transforming every industry. Sessions showcased physical AI, AI factories, agentic AI, inference, and more, along with hands-on training and valuable opportunities to connect with experts and peers. Relive the best of the event—watch
Otoy breakthrough lets game developers run the best graphics software across platforms
It may be very arcane to most of us, but graphics startup Otoy has come up with a breakthrough that should help game developers create much more beautiful games that can run across different hardware platforms. Jules Urbach, CEO of Otoy, wearing Osterhaut’s augmented reality glasses. In a nutshell, Otoy reverse-engineered Nvidia’s general purpose graphics processing unit (GPGPU) software, known as
ディープラーニングã®æœ‰åライブラリ5種を最çŸè·é›¢ã§è©¦ã™åŠæ—¥ã‚³ãƒ¼ã‚¹ï¼ˆTensorFlow, Chainer, Caffe, DeepDream, 画風変æ›ï¼‰ - Qiita
「ã„ã¤ã‹å‹‰å¼·ã—よã†ã€ã¨äººå·¥çŸ¥èƒ½ï¼æ©Ÿæ¢°å¦ç¿’ï¼ãƒ‡ã‚£ãƒ¼ãƒ—ラーニング（Deep Learning）ã¨ã„ã£ãŸãƒˆãƒ”ックã®è¨˜äº‹ã®è¦‹ã¤ã‘ã¦ã¯ã‚¢ãƒ¼ã‚«ã‚¤ãƒ–ã—ã¦ããŸã‚‚ã®ã®ã€çµå±€2015å¹´ã¯ä½•ä¸€ã¤ã‚„らãšã«çµ‚ã‚ã£ã¦ã—ã¾ã£ãŸã®ã§ã€ã¨ã«ã‹ã一æ©ã§ã‚‚足をè¸ã¿å‡ºã™ã¹ã〠本質的ãªç†è§£ç‰ã¯ã•ã¦ãŠãã€ã¨ã«ã‹ã試ã—ã¦ã¿ã‚‹ ã¨ã„ã†ã“ã¨ã‚’ã‚„ã£ã¦ã¿ã¾ã—ãŸã€‚ 試ã—ãŸã®ã¯ã€TensorFlowã€Chainerã€Caffe ã¨ã„ã£ãŸæ©Ÿæ¢°å¦ç¿’ãŠã‚ˆã³ãƒ‡ã‚£ãƒ¼ãƒ—ラーニングã®ä»£è¡¨çš„ãªãƒ©ã‚¤ãƒ–ラリï¼ãƒ•ãƒ¬ãƒ¼ãƒ ワーク3種ã¨ã€2015å¹´ã«è©±é¡Œã«ãªã£ãŸãƒ‡ã‚£ãƒ¼ãƒ—ラーニングを利用ã—ãŸã‚¢ãƒ—リケーション2種（DeepDreamã€chainer-gogh）。 （DeepDreamã§è©¦ã—ãŸçµæžœç”»åƒï¼‰ タイトルã«åŠæ—¥ã¨æ›¸ãã¾ã—ãŸãŒã€ãŸã¨ãˆã°TensorFlowã¯ç’°å¢ƒæ§‹ç¯‰ã ã‘ãªã‚‰10分もã‚ã‚Œã°çµ‚ã‚ã‚‹ã§ã—ょã†ã—ã€Chainerãªã‚“ã¦ã‚³ãƒžãƒ³ãƒ‰ä¸€ç™ºãªã®ã§5秒ãらã„ã§ã™ã€‚Caffeã¯åƒ•
Vulkan in 30 minutes
30 minutes not actually guaranteed. I've written this post with a specific target audience in mind, namely those who have a good grounding in existing APIs (e.g. D3D11 and GL) and understand the concepts of multithreading, staging resources, synchronisation and so on but want to know specifically how they are implemented in Vulkan. So we end up with a whirlwind tour of what the main Vulkan concept
Khronos Releases Vulkan 1.0 Specification
Cookie Policy Clicking 'Accept All Cookies' means you agree to our cookie use and data sharing as described in our privacy policy under 'Cookies and Tracking Technologies'. Manage cookie options Skip to main content Multiple Hardware Drivers and Developer SDKs Immediately Available February 16th 2016 – San Francisco – The Khronos™ Group, an open consortium of leading hardware and software companie
Google goes with Vulkan as Android’s low-overhead graphics API
Low-overhead graphics APIs are all the rage these days, at least if you’re the sort of person who gets excited about graphics APIs. iOS 8 introduced Metal last year, and OS X El Capitan will bring the API to the Mac when it’s released this fall. The just-released Windows 10 includes DirectX 12, which will also come to Windows Phone when it gets updated later this year. And today Google announced t
Khronos unveils Vulkan: OpenGL built for modern systems
Khronos unveils Vulkan: OpenGL built for modern systems Coming later this year, the new API promises efficiency and performance. The Khronos Group announced today Vulkan, its next generation API for high performance 3D graphics and GPU-based computation. Vulkan, previously known as Next Generation OpenGL or just GLnext, is designed to be a low-overhead API that facilitates multithreaded 3D develop
Home | Vulkan | Cross platform 3D Graphics
February 9-11 | San Diego, USAVulkanised 2026The premier conference for Vulkan developers VIEW EVENT PAGE Announcing the release of Vulkan 1.4Vulkan 1.4Khronos Streamlines Development and Deployment of GPU-Accelerated Applications. Vulkan 1.4 integrates and mandates support for many proven features into its core specification, expanding the functionality that is consistently available to developer
Facebook to open-source AI hardware design
FAIR has achieved noted advancements in the development of AI training hardware considered to be among the best in the world. We have done this through a combination of hardware expertise, partner relationships with vendors, and a significant strategic investment in AI research. FAIR is more than tripling its investment in GPU hardware as we focus even more on research and enable other teams acros
NVIDIA Launches New GPUs For Deep Learning Applications, Partners With Mesosphere | TechCrunch
The days when GPUs were only about letting you play Crysis with a higher framerate are long over. Many of the most transformative new computational techniques now rely on GPUs’ ability to quickly run certain algorithms in parallel. One area where GPUs are especially helpful (besides video encoding) is machine learning, and NVIDIA is making a big bet on this. The company is launching two new hardwa
Caffeã‚’ã¯ã˜ã‚よã†
TOPICS 発行年月日 2015å¹´08月21æ—¥ PRINT LENGTH 144 ISBN 978-4-87311-745-4 FORMAT Caffeã¯æ·±å±¤å¦ç¿’（Deep Learning）ã®ã‚ªãƒ¼ãƒ—ンソースフレームワークã§ã€ä¸»ã«ç”»åƒå‡¦ç†åˆ†é‡Žã«ãŠã„ã¦åˆ©ç”¨ã•ã‚Œã¦ã„ã¾ã™ã€‚本書ã¯Caffeを使ã£ã¦ç”»åƒå‡¦ç†ã‚’ã—ã¦ã¿ãŸã„ã¨ã„ã†åˆå¿ƒè€…を対象ã«ã€Caffeã®ä½¿ã„æ–¹ã€Caffeを使ã†ä¸Šã§æœ€ä½Žé™å¿…è¦ãªçŸ¥è˜ã«ã¤ã„ã¦è§£èª¬ã™ã‚‹æ›¸ç±ã§ã™ã€‚ ã¾ãšãƒ“ルド方法や利用ã™ã‚‹ãŸã‚ã®ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ãƒ¼ã‚¹ã®è§£èª¬ã‹ã‚‰ã€å®Ÿéš›ã«ç”»åƒèªè˜ã‚’è¡Œã†ä¸€é€£ã®æµã‚Œã‚’説明ã—ã¾ã™ã€‚続ã„ã¦Caffeã§åˆ©ç”¨ã—ã¦ã„る畳ã¿è¾¼ã¿ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ï¼ˆCNN）ã¨ãã®æ§‹æˆè¦ç´ ã€ã•ã‚‰ã«AlexNetã‚„GoogLeNetã¨ã„ã£ãŸä»£è¡¨çš„ãªCNNã®ã‚¢ãƒ¼ã‚テクãƒãƒ£ã«ã¤ã„ã¦ã‚‚解説ã—ã¾ã™ã€‚ ã•ã‚‰ã«blobã‚„layerã¨ã„ã£ãŸCaffe独自ã®ã‚¯ãƒ©ã‚¹ã€ã¾ãŸè¨å®šã§ãるパラメータã«ã¤ã„ã¦
Home | Vulkan | Cross platform 3D Graphics
February 9-11 | San Diego, USAVulkanised 2026The premier conference for Vulkan developers VIEW EVENT PAGE Announcing the release of Vulkan 1.4Vulkan 1.4Khronos Streamlines Development and Deployment of GPU-Accelerated Applications. Vulkan 1.4 integrates and mandates support for many proven features into its core specification, expanding the functionality that is consistently available to developer
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Caffe | Deep Learning Framework
Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Why Caffe? Expressive architecture encourages application and innovat
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