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Digitaltrends
2w
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Nvidia RTX Pro 6000 Blackwell sets a new standard for workstation GPUs
- Nvidia announced the RTX Pro 6000 Blackwell GPU, a new standard for workstation GPUs.
- The GPU is designed to support professional designers, developers, data scientists, and creatives.
- Specifications include 96GB of memory, up to 4000 AI TOPS performance, and a double-flow-through cooling system.
- Partners such as PNY, TD Synnex, Dell, HP, and Lenovo will release the component by April and May.
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VentureBeat
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Nvidia’s GTC 2025 keynote: 40x AI performance leap, open-source ‘Dynamo’, and a walking Star Wars-inspired ‘Blue’ robot
- Nvidia's GTC 2025 keynote was delivered by CEO Jensen Huang at the SAP Center and showcased the company's future vision in AI and robotics.
- The event highlighted the Blackwell platform's full production, offering a 40x AI performance leap over its predecessor, Hopper.
- Nvidia addressed the demand for efficient AI reasoning models like DeepSeek's R1 by emphasizing increased computation requirements and new AI infrastructures.
- A detailed roadmap up to 2027 was presented, outlining future AI computing infrastructure products like Blackwell Ultra, Vera Rubin, and Rubin Ultra.
- Nvidia also introduced Dynamo, an open-source system to optimize AI inference, positioning it as a fundamental technology for the AI revolution.
- The company unveiled 'Blue,' a Star Wars-inspired robot, signaling its foray into robotics and physical AI to address labor shortages and market opportunities.
- Partnerships with Google DeepMind, Disney Research, and General Motors were announced to advance open-source models and technologies in robotics and autonomous vehicles.
- Nvidia's strategy expands its AI reach from data centers to manufacturing, enterprise, and self-driving cars, showcasing a comprehensive approach to AI implementation.
- Huang emphasized Nvidia's position as an end-to-end AI infrastructure company, showcasing a vision beyond hardware with a focus on software optimization and simulation for AI development.
- The event illustrated Nvidia's commitment to driving the AI revolution forward, transitioning computing paradigms from servers to physical devices in industries like automotive and robotics.
- Despite some investor skepticism following the event, Nvidia's strategic moves in AI, robotics, and autonomous vehicles demonstrate its dedication to shaping the future of technology.
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Siliconangle
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2.8k
Image Credit: Siliconangle
Deloitte hops aboard the agentic AI hype train with Zora AI
- Deloitte Touche Ltd. introduces Zora AI, an agentic artificial intelligence platform that offers prebuilt and customizable AI agents.
- The AI agents have expertise in areas such as finance, human capital management, sales and marketing, supply chain management, and more.
- These agents can autonomously perform various work-related tasks and take actions on behalf of users, going beyond traditional AI chatbots.
- Zora AI agents are designed to collaborate with each other, helping businesses discover more efficient ways of working by emulating human decision-making and reasoning.
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Siliconangle
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398
Image Credit: Siliconangle
The key takeaways from Nvidia CEO Jensen Huang’s GTC keynote
- Nvidia CEO Jensen Huang delivered his GTC keynote, showcasing technical expertise and vision in AI computing.
- Key takeaways include the Blackwell architecture leap, AI Factories replacing data centers, and Nvidia Dynamo as an AI OS.
- Networking and power efficiency are highlighted as critical scaling challenges in AI.
- The Blackwell system boasts impressive AI computing capabilities with liquid-cooled infrastructure.
- The introduction of Dynamo enables 40x better performance on Blackwell NVL systems for large-scale inference.
- Nvidia's AI infrastructure roadmap includes significant advancements in GPU production and efficiency.
- Nvidia addresses networking bottlenecks with Spectrum-X and silicon photonics for AI factories.
- Enterprise AI adoption is on the rise, reshaping computing processes and workforce with AI agents.
- Nvidia envisions a shift from traditional data centers to AI factories for industrial-scale AI production.
- The keynote emphasizes the importance of AI infrastructure in redefining the computing industry.
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Siliconangle
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210
Image Credit: Siliconangle
Deloitte hops aboard the agentic AI train with Zora AI
- Deloitte has launched the Zora AI platform, offering prebuilt and customizable AI agents for enterprises and small businesses.
- The AI agents have deep expertise in finance, human capital management, sales and marketing, supply chain management, and more.
- Deloitte's AI agents can perform work-related tasks, offer insights, automate workflows, and provide decision support and data sourcing.
- Zora AI agents are designed to collaborate with each other, and they adhere to Deloitte's Trustworthy AI principles.
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Skarredghost
2w
323
Image Credit: Skarredghost
The XR Week Peek (2025.03.18): Niantic sells Pokemon Go, Meta released passthrough APIs, and more!
- Niantic sold its gaming division, including Pokemon Go, to Scopely for $3.85 billion, focusing on geospatial tech with a new spin-off called Niantic Spatial.
- Meta released passthrough APIs for Quest and Quest 3S, allowing developers to access camera frames for MR applications.
- The VR Games Showcase March 2025 featured various announcements, including games like 'Stay: Forever Home' and 'Slender: The Arrival VR.'
- Ultraleap has been sold for parts, with its hand-tracking tech business sold to Roli and intellectual property to SIM IP.
- Samsung's upcoming Project Moohan headset is expected to come with motion controllers, enabling easy content porting.
- Reportedly, Meta employees are not using Horizon Worlds passionately, highlighting potential issues in the development process.
- Google is in talks to acquire eye-tracking company AdHawk Microsystems for $115 million, showing a commitment to XR.
- Valve is working on a Wireless dongle for improved wireless PC VR connections, potentially supporting the upcoming Deckard headset.
- Meta released support for micro gestures in its SDK, allowing detection of tiny finger movements for effortless interactions in MR applications.
- Immersed announced new delays for Visor, raising concerns about financial data on Wefunder and the future of the headset's production.
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Pymnts
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Nvidia CEO: Why the Next Stage of AI Needs A Lot More Computing Power
- Nvidia CEO Jensen Huang highlighted the growing need for massive computing power in the AI industry, particularly for advanced AI models like AI agents and reasoning models.
- The shift towards reasoning models in AI requires significantly more computational power compared to traditional large language models.
- Huang emphasized the importance of faster computation to maintain responsiveness in AI models as reasoning processes take longer.
- Despite doubts over GPU demand following news about startup DeepSeek using fewer Nvidia chips, Huang believes demand will increase due to the rise of agentic AI and reasoning.
- Nvidia demonstrated the higher efficiency and complexities of reasoning models compared to traditional AI models like Meta’s Llama open-source model.
- Nvidia also announced a collaboration with General Motors to use custom AI systems in vehicle production and robotics.
- Further collaborations with Google, Alphabet, and GE HealthCare aim to advance AI in various industries, including robotics, healthcare, and energy.
- Nvidia introduced desktop supercomputers under the DGX brand, powered by the Grace Blackwell platform, to enable AI development and research.
- The company is venturing into quantum computing with the establishment of the Nvidia Accelerated Quantum Research Center to integrate quantum hardware with AI supercomputers.
- Nvidia is focusing on enhancing computing power capabilities to support the evolving needs of AI in various sectors, emphasizing faster computation, collaborations, and quantum computing research.
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Medium
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241
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NVIDIA’s New Supercomputers Bring the Future Home
- NVIDIA's new supercomputers, DGX Spark and DGX Station, offer unprecedented computational power for AI models.
- Equipped with GB10 Grace Blackwell and GB300 superchips, these devices enable rapid AI model training and deployment.
- NVIDIA aims to democratize advanced AI capabilities by partnering with Dell, HP, and Lenovo.
- These supercomputers have potential applications in healthcare, education, robotics, and more.
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TechCrunch
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Nvidia and Google DeepMind will help power Disney’s cute robots
- Nvidia is collaborating with Disney Research and Google DeepMind to develop a physics engine called Newton to simulate robotic movements in real-world settings.
- Disney will be one of the first to use Newton to power its next-generation entertainment robots, including the Star Wars-inspired BDX droids.
- Nvidia plans to release an early, open-source version of Newton later in 2025.
- Newton is designed to make robots more expressive and capable of handling complex tasks with greater precision, and it will be compatible with Google DeepMind's ecosystem of robotic development tools.
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Siliconangle
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129
Image Credit: Siliconangle
Nvidia debuts new silicon photonics switches for AI data centers
- Nvidia has unveiled a new collection of data center switches that are more efficient than current-generation hardware.
- The new switches were introduced at Nvidia's GTC event, where Jensen Huang discussed the Blackwell Ultra graphic card and Vera Rubin series AI chips.
- There are two product lines: Spectrum-X Photonics (Ethernet-based) and Quantum-X Photonics (InfiniBand-based).
- Both switch lineups utilize co-packaged optics (CPO) for increased power efficiency, being 3.5 times more efficient than previous products.
- Data center switches are responsible for transferring data between servers using fiber-optic networks for faster speeds.
- Nvidia's switches integrate transceivers into the chip, eliminating the need for standalone transceivers, reducing hardware costs.
- By placing processor and transceiver on the same chip, data transfer speeds increase with fewer lasers needed for data conversion.
- The new switches offer higher throughput, with the InfiniBand-based series shipping with 144 ports providing 800 gigabits per second.
- Nvidia's Ethernet-based series will provide up to 400 terabits per second throughput and is set to launch in 2026.
- The silicon photonics switches are based on TSMC's implementation of CPO, offering enhanced chip manufacturing and stacking capabilities.
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Digitaltrends
2w
349
Image Credit: Digitaltrends
Quantum computing just got an AI upgrade
- Nvidia Accelerated Quantum Research Center (NVAQC) unveiled.
- NVAQC aims to address scaling issues in quantum computing.
- AI and supercomputing to accelerate decoding of qubit errors.
- Collaboration with Quantum Machines, Quantinuum, QuEra, Harvard Quantum Initiative, and MIT Center for Quantum Engineering.
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Siliconangle
2w
203
Image Credit: Siliconangle
Nvidia cranks up agentic AI with revamped Blackwell Ultra GPUs and next-gen AI desktops
- Nvidia revealed the Blackwell Ultra GPUs for next-gen AI reasoning workloads at GTC 2025.
- Blackwell Ultra offers enhanced performance for AI training and inference tasks.
- It enables AI agents to autonomously perform various tasks with ease.
- The architecture combines GPUs and CPUs for high AI performance.
- Blackwell Ultra promises a significant boost in AI performance compared to previous GPU architectures.
- Nvidia Chief Executive highlighted the need for increased compute power in AI technology.
- Blackwell Ultra will be offered through Nvidia's DGX Cloud platform and on-premises.
- Nvidia is collaborating with major partners to deliver Blackwell Ultra-based servers.
- The architecture aims to support breakthrough AI workloads and advance physical AI applications.
- Nvidia also introduced personal AI supercomputers powered by Blackwell GPUs for local AI processing.
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Siliconangle
2w
246
Image Credit: Siliconangle
Nvidia’s new reasoning models and building blocks pave way for next-gen AI agents
- Nvidia is focusing on agentic artificial intelligence trend by providing infrastructure and new Llama Nemotron AI models for next-gen AI agents.
- Llama Nemotron AI models are enhanced by Nvidia for improved reasoning skills and faster inference speed, making them 20% more accurate than the original models.
- Nvidia is offering Llama Nemotron models in three sizes through the NIM platform optimized for different applications.
- Partners like Microsoft and SAP are utilizing Llama Nemotron models to enhance their AI solutions.
- Nvidia announced additional agentic AI building blocks at GTC 2025, including Nvidia AI-Q Blueprint and Nvidia AI Data Platform.
- Nvidia is collaborating with Oracle to bring agentic AI to Oracle Cloud Infrastructure by providing accelerated GPUs and inference software.
- Further collaborations with Google involve optimizing lightweight AI models to run on Nvidia GPUs and building AI-powered robots with grasping skills.
- Nvidia is also leveraging Google DeepMind's SynthID to embed digital watermarks into AI-generated content for integrity and security purposes.
- The company promises significant performance gains in AI reasoning by combining optimized storage resources with Nvidia's accelerated computing hardware.
- Nvidia's dedication to advancing AI with partnerships reflects ongoing innovation in the field and commitment to improving access to AI technologies and tools.
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Insider
2w
21
Image Credit: Insider
Nvidia's partnership with Taco Bell means AI could soon do more than take your drive-thru order
- Nvidia and Taco Bell have partnered to use AI for drive-thru orders.
- Yum! Brands plans to roll out voice ordering to about 500 restaurants starting next quarter.
- AI could suggest menu items based on the number of cars waiting in the drive-thru, improving speed of service.
- Improvement in voice AI's accuracy is essential to ensure a successful experience for customers and team members.
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VentureBeat
2w
82
Image Credit: VentureBeat
Nvidia will build accelerated quantum computing research center
- Nvidia is building a Boston-based research center to advance quantum computing
- The Nvidia Accelerated Quantum Research Center (NVAQC) will integrate quantum hardware with AI supercomputers
- The center aims to solve complex problems in quantum computing and drive advancements through collaborations with leading innovators
- The NVAQC will focus on developing hybrid quantum algorithms, quantum error correction, and applications for practical quantum computing
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