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<rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>NVIDIA Newsroom</title><link>https://nvidianews.nvidia.com</link><description>Main site feed</description><language>en-us</language><pubDate>Mon, 27 Apr 2026 21:16:10 GMT</pubDate><lastBuildDate>Mon, 27 Apr 2026 21:16:10 GMT</lastBuildDate><generator>iPressroom</generator><item><title>OpenAI’s New GPT-5.5 Powers Codex on NVIDIA Infrastructure — and NVIDIA Is Already Putting It to Work</title><link>https://blogs.nvidia.com/blog/openai-codex-gpt-5-5-ai-agents/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/0dee0bef3e902e25b7e1463ab307c80e/69ea6bcb3d633293b6030591_logo-lockup-codex-tech-blog-v-1920x1080-5175350-842x450/logo-lockup-codex-tech-blog-v-1920x1080-5175350-842x450_thmb.jpg" fileSize="41128" type="image/png"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 23 Apr 2026 18:58:23 GMT</modDate><relatedPages></relatedPages><description><![CDATA[AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation.  Codex, OpenAI’s agentic coding application, is enabling this new frontier. It’s now powered by GPT-5.5, OpenAI’s latest frontier model, which runs on NVIDIA GB200 NVL72 rack-scale systems.  Over 10,000 […]]]></description><author>Justin Boitano</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/openai-codex-gpt-5-5-ai-agents/</guid><pubDate>Thu, 23 Apr 2026 18:57:55 GMT</pubDate></item><item><title>Tag, You’re It: GeForce NOW Levels Up Game Discovery With Xbox Game Pass and Ubisoft+ Labels</title><link>https://blogs.nvidia.com/blog/geforce-now-thursday-in-app-labels/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/76494418042c03a94f5cbbc679d80d14/69ea18343d6332f937ae1741_gfn-thursday-feature-launch-library-nv-blog-1280x680-logo-842x450/gfn-thursday-feature-launch-library-nv-blog-1280x680-logo-842x450_thmb.jpg" fileSize="56365" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 23 Apr 2026 13:01:44 GMT</modDate><relatedPages></relatedPages><description><![CDATA[GeForce NOW is doubling down on what matters most: gamers. This week’s upgrades bring smarter libraries, making it easier than ever for gamers to turn a PC collection into a cloud-powered flex. It starts with giving existing libraries time to shine. Gamers can bring the games they love to the cloud, stream them with high […]]]></description><author>GeForce NOW Community</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/geforce-now-thursday-in-app-labels/</guid><pubDate>Thu, 23 Apr 2026 13:00:51 GMT</pubDate></item><item><title>Making Sense of the Early Universe</title><link>https://blogs.nvidia.com/blog/ai-gpu-early-universe-astronomy/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/666545ec79a5a7edd35bf80870aa8c2b/69ea183a3d6332f937ae1748_AstroUCSC_IntroPoster_v2-842x450/AstroUCSC_IntroPoster_v2-842x450_thmb.jpg" fileSize="174401" type="image/png"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 23 Apr 2026 13:01:50 GMT</modDate><relatedPages></relatedPages><description><![CDATA[This Spring Astronomy Day, here’s a look at how AI and GPUs are helping astronomers work through unprecedented volumes of cosmic data.]]></description><author>Brian Caulfield</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/ai-gpu-early-universe-astronomy/</guid><pubDate>Thu, 23 Apr 2026 13:00:22 GMT</pubDate></item><item><title>From Rainforests to Recycling Plants: 5 Ways NVIDIA AI Is Protecting the Planet</title><link>https://blogs.nvidia.com/blog/earth-day-2026-ai-accelerated-computing/</link><media:content url="https://iprsoftwaremedia.com/219/files/20263/2cc6b9d874dcc46bda30fdf993b7d3d6/69e8d3183d6332970dbb6237_Earth-2_thumbnail/Earth-2_thumbnail_thmb.png" fileSize="2731155" type="image/png"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Wed, 22 Apr 2026 13:55:01 GMT</modDate><relatedPages></relatedPages><description><![CDATA[Across climate, conservation, disaster monitoring and recycling, NVIDIA AI is enabling applications protecting the planet.]]></description><author>NVIDIA Writers</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/earth-day-2026-ai-accelerated-computing/</guid><pubDate>Wed, 22 Apr 2026 13:00:00 GMT</pubDate></item><item><title>NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI</title><link>https://blogs.nvidia.com/blog/google-cloud-agentic-physical-ai-factories/</link><media:content url="https://iprsoftwaremedia.com/219/files/20263/2c590fe1c5b608b048fedc948a46ad3e/69e8d2b43d63329717bb627a_google-cloud-nvidia/google-cloud-nvidia_thmb.jpg" fileSize="70529" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Wed, 22 Apr 2026 13:53:14 GMT</modDate><relatedPages></relatedPages><description><![CDATA[NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services.  This foundation enables developers, startups and enterprises to push agentic and physical AI out of the lab and into production — from agents that […]]]></description><author>Ian Buck</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/google-cloud-agentic-physical-ai-factories/</guid><pubDate>Wed, 22 Apr 2026 12:00:00 GMT</pubDate></item><item><title>Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP</title><link>https://blogs.nvidia.com/blog/adobe-ai-agents-nvidia-wpp/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/e5e57203798aa5a90be0b8ea151149c1/69e623cf3d6332889fed76ff_adobe-ai-agents-wpp-nvidia-842x450/adobe-ai-agents-wpp-nvidia-842x450_thmb.jpg" fileSize="44174" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Mon, 20 Apr 2026 13:02:11 GMT</modDate><relatedPages></relatedPages><description><![CDATA[AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making. NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across creative production and customer experience orchestration.  As demand for personalized customer experiences surges, brands require intelligent systems […]]]></description><author>Richard Kerris</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/adobe-ai-agents-nvidia-wpp/</guid><pubDate>Mon, 20 Apr 2026 13:00:50 GMT</pubDate></item><item><title>NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026</title><link>https://blogs.nvidia.com/blog/ai-manufacturing-hannover-messe/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/670bdd94c9a31b74c661b7f40b183a14/69e5e4713d633253f1b2dc5c_hmi-1920x1080-1-842x450/hmi-1920x1080-1-842x450_thmb.jpg" fileSize="75994" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Mon, 20 Apr 2026 08:31:49 GMT</modDate><relatedPages></relatedPages><description><![CDATA[Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production.  The question is no longer whether to adopt AI, but how fast and at what […]]]></description><author>James McKenna</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/ai-manufacturing-hannover-messe/</guid><pubDate>Mon, 20 Apr 2026 08:30:55 GMT</pubDate></item><item><title>No Need for Space Gear — Capcom’s ‘PRAGMATA’ Joins GeForce NOW on Launch Day</title><link>https://blogs.nvidia.com/blog/geforce-now-thursday-pragmata/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/7c6d7311671e25836e1dba1a639f7a16/69e0dd8f3d6332d786e46032_GFN_Thursday-PRAGMATA-842x450/GFN_Thursday-PRAGMATA-842x450_thmb.jpg" fileSize="67259" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 16 Apr 2026 13:01:06 GMT</modDate><relatedPages></relatedPages><description><![CDATA[Head straight for orbit with GeForce NOW — no space helmet required.  PRAGMATA, Capcom’s long-awaited sci-fi action adventure, touches down on GeForce NOW the same day it launches worldwide. The futuristic journey through a cold lunar station in the near future can be streamed instantly from the cloud to almost any device, no console or […]]]></description><author>GeForce NOW Community</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/geforce-now-thursday-pragmata/</guid><pubDate>Thu, 16 Apr 2026 13:00:11 GMT</pubDate></item><item><title>Rethinking AI TCO: Why Cost per Token Is the Only Metric That Matters</title><link>https://blogs.nvidia.com/blog/lowest-token-cost-ai-factories/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/56d687d6f58da6a8d466682ca175a78f/69dfa8753d6332dbb5d30a33_inference-blogheader-token-1920x1080-5144600_HEADLINE.jpg-842x450/inference-blogheader-token-1920x1080-5144600_HEADLINE.jpg-842x450_thmb.jpg" fileSize="74351" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Wed, 15 Apr 2026 15:02:17 GMT</modDate><relatedPages></relatedPages><description><![CDATA[Traditional data centers only stored, retrieved and processed data. In the generative and agentic AI era, these facilities have evolved into AI token factories. With AI inference becoming their primary workload, their primary output is intelligence manufactured in the form of tokens.  This transformation demands a corresponding shift in how the economics of AI infrastructure, […]]]></description><author>Shruti Koparkar</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/lowest-token-cost-ai-factories/</guid><pubDate>Wed, 15 Apr 2026 15:00:26 GMT</pubDate></item><item><title>New Adobe Premiere Color Grading Mode Accelerated on NVIDIA GPUs</title><link>https://blogs.nvidia.com/blog/rtx-ai-garage-nab-adobe-premiere-color-mode/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/d2a39c93368d65c557febeeb434d1724/69df8c2c3d63324f42ca3550_nab-adobe-color-mode-nv-blog-1280x680-1-842x450/nab-adobe-color-mode-nv-blog-1280x680-1-842x450_thmb.jpg" fileSize="87189" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Wed, 15 Apr 2026 13:01:36 GMT</modDate><relatedPages></relatedPages><description><![CDATA[The NAB Show 2026 trade show, running April 18-22 in Las Vegas, is set to showcase a wave of new features and optimizations for top video editing applications. Bringing together over 60,000 content professionals from across the broadcast and media and entertainment industries, the event highlights how video editors, livestreamers and professional creators are exploring […]]]></description><author>Joel Pennington</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/rtx-ai-garage-nab-adobe-premiere-color-mode/</guid><pubDate>Wed, 15 Apr 2026 13:00:38 GMT</pubDate></item><item><title>NVIDIA Launches Ising, the World’s First Open AI Models to Accelerate the Path to Useful Quantum Computers</title><link>https://nvidianews.nvidia.com/news/nvidia-launches-ising-the-worlds-first-open-ai-models-to-accelerate-the-path-to-useful-quantum-computers</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/69dd81573d633202e6df77bc_04132026q/04132026q_thmb.jpg" fileSize="314146" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle>NVIDIA Ising Delivers Breakthrough Performance in Quantum Calibration and Error Correction, Empowering Researchers and Enterprises to Build Scalable, High-Performance Quantum Systems</subtitle><content>&lt;![CDATA[&lt;p&gt;&lt;strong&gt;News Summary:&lt;/strong&gt;&lt;/p&gt;

&lt;ul type="disc"&gt;
	&lt;li&gt;The NVIDIA Ising open model family delivers the world&amp;rsquo;s best AI-based quantum processor calibration capabilities, as well as quantum error-correction decoding that is up to 2.5x faster and 3x more accurate than traditional approaches.&lt;/li&gt;
	&lt;li&gt;Leading quantum enterprises, academic institutions and research labs adopting Ising include Academia Sinica, Fermi National Accelerator Laboratory, Harvard John A. Paulson School of Engineering and Applied Sciences, Infleqtion, IQM Quantum Computers, Lawrence Berkeley National Laboratory&amp;rsquo;s Advanced Quantum Testbed and the U.K. National Physical Laboratory (NPL).&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;NVIDIA today announced the world&amp;rsquo;s first family of open source quantum AI models,&amp;nbsp;&lt;a href="https://www.nvidia.com/en-us/solutions/quantum-computing/ising/" rel="nofollow" target="_blank" title="NVIDIA Ising"&gt;NVIDIA Ising&lt;/a&gt;, designed to help researchers and enterprises build quantum processors capable of running useful applications.&lt;/p&gt;

&lt;p&gt;To achieve useful quantum applications at scale, significant breakthroughs are needed in quantum processor calibration and quantum error correction. AI is key for turning today&amp;rsquo;s quantum processors into large-scale, reliable computers. Open models empower developers to build high-performance AI while maintaining total control over their data and infrastructure.&lt;/p&gt;

&lt;p&gt;Named after a landmark mathematical model that dramatically simplified the understanding of complex physical systems, the NVIDIA Ising family provides high-performance, scalable AI tools for quantum error correction and calibration &amp;mdash; two of the most critical challenges in building hybrid-quantum classical systems.&lt;/p&gt;

&lt;p&gt;Ising models run the world&amp;rsquo;s best quantum processor calibration and enable researchers to tackle much larger, more complex problems with quantum computers by delivering up to 2.5x faster performance and 3x higher accuracy for the decoding process needed for quantum error correction.&lt;/p&gt;

&lt;p&gt;&amp;ldquo;AI is essential to making quantum computing practical,&amp;rdquo; said Jensen Huang, founder and CEO of NVIDIA. &amp;ldquo;With Ising, AI becomes the control plane &amp;mdash; the operating system of quantum machines &amp;mdash; transforming fragile qubits to scalable and reliable quantum-GPU systems.&amp;rdquo;&lt;/p&gt;

&lt;p&gt;The quantum computing market is expected to surpass $11 billion in 2030, according to analyst firm Resonance. This growth trajectory is highly dependent on continued progress in addressing critical engineering challenges, such as quantum error correction and scalability.&lt;/p&gt;

&lt;p&gt;NVIDIA Ising includes state-of-the-art customizable models, tools and data that accelerate quantum processors:&lt;/p&gt;

&lt;ul type="disc"&gt;
	&lt;li&gt;Ising Calibration: A vision language model that can rapidly interpret and react to measurements from quantum processors. This enables AI agents to automate continuous calibration, reducing the time needed from days to hours.&lt;/li&gt;
	&lt;li&gt;Ising Decoding: Two variants of a 3D convolutional neural network model &amp;mdash; optimized for either speed or accuracy &amp;mdash; to perform real-time decoding for quantum error correction. Ising Decoding models are up to 2.5x faster and 3x more accurate than pyMatching, the current open source industry standard.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Ecosystem Adoption&lt;/strong&gt;&lt;br /&gt;
Leading enterprises, academic institutions and research labs are adopting Ising for quantum computing development.&lt;/p&gt;

&lt;p&gt;Ising Calibration is already in use by Atom Computing, &lt;a href="https://www.sinica.edu.tw/en/news_content/55/3757" rel="" target="_blank" title=""&gt;Academia Sinica&lt;/a&gt;, &lt;a href="https://eeroq.com/nvidia-ising/" rel="nofollow" target="_blank" title="EeroQ"&gt;EeroQ&lt;/a&gt;, Conductor Quantum, &lt;a href="https://quantum.northwestern.edu/news-and-stories/2026/northwestern-and-fermilab-quantum-data-helps-build-a-new-ai-benchmark-for-quantum-calibration-with-nvidia-ising-open-models.html" rel="nofollow" target="_blank" title="Fermi National Accelerator Laboratory"&gt;Fermi National Accelerator Laboratory&lt;/a&gt;, Harvard John A. Paulson School of Engineering and Applied Sciences,&amp;nbsp;&lt;a href="http://infleqtion.com/ai-accelerated-qec" rel="nofollow" target="_blank" title="Infleqtion"&gt;Infleqtion&lt;/a&gt;, IonQ, &lt;a href="https://meetiqm.com/press-releases/iqm-advances-ai-driven-agentic-calibration-opening-quantum-computing-to-the-enterprise-with-nvidia-ising" rel="" target="_blank" title=""&gt;IQM Quantum Computers&lt;/a&gt;, &lt;a href="https://aqt.lbl.gov/" rel="nofollow" target="_blank" title="Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed"&gt;Lawrence Berkeley National Laboratory&amp;rsquo;s Advanced Quantum Testbed&lt;/a&gt;, &lt;a href="https://q-ctrl.com/blog/scaling-quantum-autonomy-with-nvidia-ising" rel="nofollow" target="_blank" title="Q-CTRL"&gt;Q-CTRL&lt;/a&gt; and the U.K. National Physical Laboratory (NPL).&lt;/p&gt;

&lt;p&gt;Ising Decoding is being deployed by Cornell University, &lt;a href="http://www.edencode.ai/blog-nvidia-ising" rel="nofollow" target="_blank" title="EdenCode"&gt;EdenCode&lt;/a&gt;, Infleqtion, IQM Quantum Computers, Quantum Elements, Sandia National Laboratories, SEEQC, &lt;a href="https://yufeiding.ucsd.edu/blogs" rel="" target="_blank" title=""&gt;University of California San Diego&lt;/a&gt;, UC Santa Barbara, University of Chicago, University of Southern California and Yonsei University.&lt;/p&gt;

&lt;p&gt;In addition, NVIDIA is providing a cookbook of quantum computing workflows and training data along with &lt;a href="https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices/" rel="nofollow" target="_blank" title="NVIDIA NIM"&gt;NVIDIA NIM&lt;/a&gt;&amp;trade; microservices, equipping developers to fine-tune models for specific hardware architectures and use cases with minimal setup. The models can also run locally on researchers&amp;rsquo; systems, protecting proprietary data.&lt;/p&gt;

&lt;p&gt;NVIDIA Ising complements the &lt;a href="https://developer.nvidia.com/cuda-q" rel="nofollow" target="_blank" title="NVIDIA CUDA-Q"&gt;NVIDIA CUDA-Q&lt;/a&gt;&amp;trade; software platform for hybrid quantum-classical computing and integrates with the &lt;a href="https://www.nvidia.com/en-us/solutions/quantum-computing/nvqlink/" rel="nofollow" target="_blank" title="NVIDIA NVQLink"&gt;NVIDIA NVQLink&lt;/a&gt;&amp;trade; QPU-GPU hardware interconnect for real-time control and quantum error correction, providing researchers and developers with a full suite of tools needed to turn today&amp;rsquo;s qubits into tomorrow&amp;rsquo;s accelerated quantum supercomputers.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Get Started With NVIDIA Open Models&lt;/strong&gt;&lt;br /&gt;
NVIDIA Ising joins NVIDIA&amp;rsquo;s open model portfolio, which includes NVIDIA Nemotron&amp;trade; for agentic systems, NVIDIA Cosmos&amp;trade; for physical AI, NVIDIA Alpamayo for autonomous vehicles, NVIDIA Isaac&amp;trade; GR00T for robotics and NVIDIA BioNeMo&amp;trade; for biomedical research.&lt;/p&gt;

&lt;p&gt;These open models, data and frameworks are available on GitHub, Hugging Face and &lt;a href="https://build.nvidia.com/" rel="nofollow" target="_blank" title="build.nvidia.com"&gt;build.nvidia.com&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Learn more by watching the special address from &lt;/em&gt;&lt;a href="https://www.nvidia.com/en-us/events/quantum-day/?ncid=em-even-201185-1" rel="nofollow" target="_blank" title=""&gt;&lt;em&gt;NVIDIA Quantum Day&lt;/em&gt;&lt;/a&gt;&lt;em&gt; and tuning in to this &lt;/em&gt;&lt;a href="https://www.youtube.com/watch?v=OFEY5-52ru0" rel="nofollow" target="_blank" title=""&gt;&lt;em&gt;NVIDIA AI Podcast episode&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
]]&gt;</content><categories><category>Press Releases</category></categories><modDate>Mon, 20 Apr 2026 23:46:21 GMT</modDate><relatedPages></relatedPages><description><![CDATA[NVIDIA today announced the world’s first family of open source quantum AI models, NVIDIA Ising, designed to help researchers and enterprises build quantum processors capable of running useful applications.]]></description><enclosure url="https://iprsoftwaremedia.com/219/files/202604/04132026q.jpeg" length="314146" type="image/jpeg"></enclosure><guid isPermaLink="true">https://nvidianews.nvidia.com/news/nvidia-launches-ising-the-worlds-first-open-ai-models-to-accelerate-the-path-to-useful-quantum-computers</guid><pubDate>Tue, 14 Apr 2026 14:00:00 GMT</pubDate></item><item><title>Strength and Destiny Collide: ‘Samson: A Tyndalston Story’ Arrives in the Cloud</title><link>https://blogs.nvidia.com/blog/geforce-now-thursday-samson-a-tyndalston-story/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/69d7a31d3d633236da100c2e_gfn-thursday-4-9-nv-blog-1280x680-logo-842x450/gfn-thursday-4-9-nv-blog-1280x680-logo-842x450_thmb.jpg" fileSize="107054" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 09 Apr 2026 13:01:21 GMT</modDate><relatedPages></relatedPages><description><![CDATA[A timeless story of grit, faith and rebellion takes center stage as Samson: A Tyndalston Story joins the GeForce NOW library today.  The highly anticipated release from Liquid Swords can now be streamed on nearly any device with GeForce NOW bringing cinematic intensity and mythic storytelling to the cloud. Catch it as part of four […]]]></description><author>GeForce NOW Community</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/geforce-now-thursday-samson-a-tyndalston-story/</guid><pubDate>Thu, 09 Apr 2026 13:00:57 GMT</pubDate></item><item><title>National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources</title><link>https://blogs.nvidia.com/blog/national-robotics-week-2026/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/69d1440c3d633290a1b886eb_robotics-promo-nrw-rolling-blog-1600x900-1/robotics-promo-nrw-rolling-blog-1600x900-1_thmb.jpg" fileSize="10330489" type="video/mp4"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Sat, 04 Apr 2026 17:02:06 GMT</modDate><relatedPages></relatedPages><description><![CDATA[This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world — as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond. Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual […]]]></description><author>NVIDIA Writers</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/national-robotics-week-2026/</guid><pubDate>Sat, 04 Apr 2026 17:00:59 GMT</pubDate></item><item><title>From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI</title><link>https://blogs.nvidia.com/blog/rtx-ai-garage-open-models-google-gemma-4/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/69ce92753d63323e279f7d85_eevee-nv-blog-1280x680-1-842x450/eevee-nv-blog-1280x680-1-842x450_thmb.jpg" fileSize="39104" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 02 Apr 2026 16:16:28 GMT</modDate><relatedPages></relatedPages><description><![CDATA[Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action.  Designed for this shift, Google’s latest additions to the Gemma 4 family introduce a class of small, fast and omni-capable models built for efficient local execution across a wide range […]]]></description><author>Michael Fukuyama</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/rtx-ai-garage-open-models-google-gemma-4/</guid><pubDate>Thu, 02 Apr 2026 16:15:00 GMT</pubDate></item><item><title>Press Start on April: GeForce NOW Brings 10 Games to the Cloud</title><link>https://blogs.nvidia.com/blog/geforce-now-thursday-april-2026-games-list/</link><media:content url="https://iprsoftwaremedia.com/219/files/202604/69ce68a03d63326804c80892_gfn-thursday-4-2-nv-blog-1280x680-logo-1-842x450/gfn-thursday-4-2-nv-blog-1280x680-logo-1-842x450_thmb.jpg" fileSize="77777" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 02 Apr 2026 13:01:23 GMT</modDate><relatedPages></relatedPages><description><![CDATA[No joke — GFN Thursday is skipping the tricks and heading straight into the games. April kicks off with ten new titles, bringing fresh adventures to GeForce NOW, including the launch of Capcom’s highly anticipated PRAGMATA. A dozen new games are available to stream this week, including Arknights: Endfield, which expands the acclaimed series into a full […]]]></description><author>GeForce NOW Community</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/geforce-now-thursday-april-2026-games-list/</guid><pubDate>Thu, 02 Apr 2026 13:00:09 GMT</pubDate></item><item><title>Efficiency at Scale: NVIDIA, Energy Leaders Accelerating Power‑Flexible AI Factories to Fortify the Grid</title><link>https://blogs.nvidia.com/blog/energy-efficiency-ai-factories-grid/</link><media:content url="https://iprsoftwaremedia.com/219/files/202603/69cbe1f13d6332bcf0990354_energy-promo-pack-rolling-corp-blog-1920x1080-1-842x450/energy-promo-pack-rolling-corp-blog-1920x1080-1-842x450_thmb.jpg" fileSize="110881" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Tue, 31 Mar 2026 15:02:13 GMT</modDate><relatedPages></relatedPages><description><![CDATA[CERAWeek — dubbed the Davos of energy — is where policymakers, producers, technologists and financiers gather to discuss how the world powers itself next.  NVIDIA and Emerald AI unveiled at the conference last week a new way forward — treating AI factories not as static power loads but as flexible, intelligent grid assets. This collaboration […]]]></description><author>Vladimir Troy</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/energy-efficiency-ai-factories-grid/</guid><pubDate>Tue, 31 Mar 2026 15:00:51 GMT</pubDate></item><item><title>NVIDIA AI Ecosystem Expands as Marvell Joins Forces Through NVLink Fusion</title><link>https://nvidianews.nvidia.com/news/nvidia-ai-ecosystem-expands-as-marvell-joins-forces-through-nvlink-fusion</link><media:content url="https://iprsoftwaremedia.com/219/files/201910/5dc092aa2cfac24ba40e9c30_NVIDIA-Endeavor-building-logo/NVIDIA-Endeavor-building-logo_thmb.jpg" fileSize="2548140" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle>Collaboration Delivers Greater Choice and Flexibility for Customers and Fully Compatible With NVIDIA AI Infrastructure</subtitle><content>&lt;![CDATA[&lt;p&gt;NVIDIA and Marvell Technology, Inc. (NASDAQ: MRVL) today announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion&amp;trade;, offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. The companies will also collaborate on silicon photonics technology.&lt;/p&gt;

&lt;p&gt;In addition, NVIDIA has invested $2 billion in Marvell.&lt;/p&gt;

&lt;p&gt;The partnership builds on NVIDIA NVLink Fusion, a rack-scale platform that enables customers to develop semi-custom AI infrastructure using the NVIDIA NVLink&amp;trade; ecosystem. Marvell will provide custom XPUs and NVLink Fusion-compatible scale-up networking, while NVIDIA will provide the supporting technologies, including Vera CPU, ConnectX&lt;sup&gt;&amp;reg;&lt;/sup&gt; NICs, BlueField&lt;sup&gt;&amp;reg;&lt;/sup&gt; DPUs, NVLink interconnect and Spectrum-X&amp;trade; switches, and the rack-scale AI compute.&lt;/p&gt;

&lt;p&gt;For customers developing custom XPUs, NVLink Fusion enables a heterogeneous AI infrastructure fully compatible with NVIDIA systems, allowing seamless integration with NVIDIA GPU, LPU, networking and storage platforms while leveraging NVIDIA&amp;rsquo;s rich technology stack global supply chain ecosystem.&lt;/p&gt;

&lt;p&gt;The companies will also partner to transform the world&amp;rsquo;s telecommunication network into AI infrastructure with NVIDIA Aerial AI-RAN for 5G/6G, and advance world-class networking for AI, including advanced optical interconnect solutions and silicon photonics technology.&lt;/p&gt;

&lt;p&gt;&amp;ldquo;The inference inflection has arrived. Token generation demand is surging, and the world is racing to build AI factories,&amp;rdquo; said Jensen Huang, founder and CEO of NVIDIA. &amp;ldquo;Together with Marvell, we are enabling customers to leverage NVIDIA&amp;rsquo;s AI infrastructure ecosystem and scale to build specialized AI compute.&amp;rdquo;&lt;/p&gt;

&lt;p&gt;&amp;ldquo;Our expanded partnership with NVIDIA reflects the growing importance of high-speed connectivity, optical interconnect and accelerated infrastructure in scaling AI,&amp;rdquo; said Matt Murphy, chairman and CEO of Marvell. &amp;ldquo;By connecting Marvell&amp;rsquo;s leadership in high-performance analog, optical DSP, silicon photonics and custom silicon to NVIDIA&amp;rsquo;s expanding AI ecosystem through NVLink Fusion, we are enabling customers to build scalable, efficient AI infrastructure.&amp;rdquo;&lt;/p&gt;
]]&gt;</content><categories><category>Press Releases</category></categories><modDate>Thu, 02 Apr 2026 08:54:12 GMT</modDate><relatedPages></relatedPages><description><![CDATA[NVIDIA and Marvell Technology, Inc. (NASDAQ: MRVL) today announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion™, offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure.]]></description><enclosure url="https://iprsoftwaremedia.com/219/files/201910/NVIDIA-Endeavor-building-logo.jpg" length="2548140" type="image/jpeg"></enclosure><guid isPermaLink="true">https://nvidianews.nvidia.com/news/nvidia-ai-ecosystem-expands-as-marvell-joins-forces-through-nvlink-fusion</guid><pubDate>Tue, 31 Mar 2026 12:00:00 GMT</pubDate></item><item><title>Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era</title><link>https://blogs.nvidia.com/blog/gtc-2026-virtual-worlds-physical-ai/</link><media:content url="https://iprsoftwaremedia.com/219/files/202603/69c54a633d633213c574a669_nv-ov-ito-mar-social-1920x1080_credit-842x450/nv-ov-ito-mar-social-1920x1080_credit-842x450_thmb.jpg" fileSize="70453" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Thu, 26 Mar 2026 15:02:00 GMT</modDate><relatedPages></relatedPages><description><![CDATA[Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and […]]]></description><author>Heather McDiarmid</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/gtc-2026-virtual-worlds-physical-ai/</guid><pubDate>Thu, 26 Mar 2026 15:00:56 GMT</pubDate></item><item><title>Game On: Five New Titles Now Streaming on GeForce NOW</title><link>https://blogs.nvidia.com/blog/geforce-now-thursday-screamer/</link><media:content url="https://iprsoftwaremedia.com/219/files/202603/69c52e1b3d633288854e672e_gfn-thursday-3-26-blog-2048x1024-1-842x450/gfn-thursday-3-26-blog-2048x1024-1-842x450_thmb.jpg" fileSize="83833" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Tue, 31 Mar 2026 21:35:28 GMT</modDate><relatedPages></relatedPages><description><![CDATA[That gaming backlog won’t clear itself — GeForce NOW is here to help. Stream the latest titles straight from the cloud across a variety of devices. This week, five new titles are ready to play instantly in the cloud gaming platform’s library. Screamer drifts onto the scene with retro‑racing attitude and pixel‑perfect speed. Plus, Honkai: Star Rail Version […]]]></description><author>GeForce NOW Community</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/geforce-now-thursday-screamer/</guid><pubDate>Thu, 26 Mar 2026 13:00:00 GMT</pubDate></item><item><title>The Future of AI Is Open and Proprietary</title><link>https://blogs.nvidia.com/blog/ai-future-open-and-proprietary/</link><media:content url="https://iprsoftwaremedia.com/219/files/202603/69c430cc3d6332aba1afd0b8_gtcsj26-S82480-open-models-SAG_0177-edit-169-842x450/gtcsj26-S82480-open-models-SAG_0177-edit-169-842x450_thmb.jpg" fileSize="88198" type="image/jpeg"></media:content><contentType>releases</contentType><subtitle></subtitle><categories><category>Blogs</category></categories><modDate>Wed, 25 Mar 2026 19:00:31 GMT</modDate><relatedPages></relatedPages><description><![CDATA[AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist.  This variety is essential for a future where every application will be powered by AI, every country will build it and every company will use […]]]></description><author>Kari Briski</author><guid isPermaLink="true">https://blogs.nvidia.com/blog/ai-future-open-and-proprietary/</guid><pubDate>Wed, 25 Mar 2026 19:00:04 GMT</pubDate></item></channel></rss>