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Digitaltrends
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Can the RX 9070 compete with the 5070 Ti?
- The RX 9070 competes with the RTX 5070 in terms of performance, but how does it fare against the more expensive RTX 5070 Ti?
- Pricing and availability for the RX 9070 has been impacted by stock issues and tariffs, with prices ranging from $650 to $750.
- The RTX 5070 Ti, launched at $750, faces similar price hikes, with listings reaching over $1,000.
- In terms of specifications, the RX 9070 and RTX 5070 Ti vary significantly in transistor count, CUDA cores, and memory speed.
- Despite differences in design and specs, the RX 9070 can keep up in clock speed and offers competitive performance.
- The RTX 5070 Ti is the faster card overall, excelling in rasterization and ray tracing, but the RX 9070 holds its own, especially in games like Cyberpunk 2077.
- The RX 9070 falls about 20% behind the RTX 5070 Ti in performance tests but still delivers excellent gameplay at 1440p and 4K.
- While the 5070 Ti offers superior performance, the RX 9070 stands out as a better value buy due to its competitive performance and lower price.
- Due to market conditions and pricing, the RX 9070 is currently considered the better buy compared to the more expensive 5070 Ti.
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Analyticsindiamag
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Jensen Believes the Entire World is Wrong, NVIDIA isn’t
- NVIDIA CEO, Jensen Huang, believes that the world underestimated the computation requirements and scaling law of AI.
- Huang emphasized the shift from retrieval computing to generative computing and introduced 'agentic AI' with reasoning capabilities.
- NVIDIA's Blackwell architecture is now in full production, delivering 40 times the performance of Hopper.
- NVIDIA also unveiled two new supercomputers and showcased advancements in robotics and autonomous vehicles.
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Securitysales
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Hanwha Vision to Focus on Wisenet 9 Technologies During ISC West 2025
- Hanwha Vision will showcase its latest surveillance solutions at ISC West 2025, focusing on Wisenet 9 System on Chip collaborations.
- The new technologies include advancements in AI analytics, cloud-based capabilities, and AI-driven surveillance enhancements.
- Wisenet 9 SOC will power Hanwha's new generation of cameras with features like AI noise reduction, extreme wide dynamic range, and advanced analytics.
- Hanwha Vision Cloud Portal will be featured, offering centralized resources for managing surveillance assets and capabilities through solutions like OnCloud and HealthPro.
- A 4-channel AI multi-sensor camera powered by NVIDIA Jetson Platform will provide increased operations per second and access to the NVIDIA AI app ecosystem.
- Another multi-sensor camera with Lumeo Analytics supports drag-and-drop edge-based analytics and AI model customization for users.
- New on-board multi-sensor camera analytics include DERQ traffic insights for smart traffic data-driven optimization and Scylla Weapon Detection for military-grade weapon recognition.
- DERQ offers city-wide analysis, event data management, statistical reports, and in-depth trend analysis for traffic monitoring.
- Scylla provides long-range weapon detection with high accuracy, low false positive rates, and recognition of various types of firearms.
- Both analytics solutions offer flexible deployment options and easy integration with VMS platforms like Wisenet Wave VMS.
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Digitaltrends
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Nvidia’s new model brings humanoid robotics a step closer to reality
- Nvidia has unveiled the Isaac Groot N1 model, an open-source and customizable model for humanoid robotics projects.
- The model consists of two systems - one for fast-reacting, reflex-like actions and the other for slower, careful decision-making.
- The Isaac Groot N1 model can perform reasoning, plan actions, and quickly turn plans into movements for a robot to perform.
- The model will be available worldwide for robotics developers, and Nvidia is working on a family of pre-trained robotics models.
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Silicon
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Nvidia Promises Continued AI Chip Demand At Developer Event
- Nvidia CEO Jensen Huang promises continued AI chip demand at their annual software developer conference.
- Nvidia announces upcoming AI chips, personal AI supercomputers, and a new platform for humanoid robots.
- Huang believes that the rise of AI agents will drive continued growth in the industry.
- Nvidia introduces plans for the release of Blackwell Ultra GPU and future higher-powered platforms.
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Medium
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GTC: We Just Redefined “Possible” (Again.) — Hold Onto Your GPUs!
- Nvidia re-architected the next-generation Blackwell architecture, delivering significant performance improvements.
- The focus is on creating intelligent GPUs that anticipate coding mistakes and make AI accessible to all.
- Omniverse introduces photorealistic virtual worlds and powerful tools for design, engineering, manufacturing, and entertainment.
- Nvidia remains committed to building technology responsibly and aims to blur the line between physical and digital worlds within five years.
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Analyticsindiamag
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NVIDIA Announces 2 Personal Supercomputers—One is as Small as Mac Mini
- NVIDIA has announced two new personal AI supercomputers - DGX Spark and DGX Station.
- The DGX Spark is the world's smallest AI supercomputer, slightly larger than the Apple Mac Mini.
- The DGX Station features a massive 784 GB memory and is built with the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip.
- NVIDIA also made other announcements at the GTC event, including partnerships with General Motors and updates in the robotics sector.
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Digitaltrends
1w
319
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Asus Ascent GX10 packs supercomputer power into a tiny box
- Asus has introduced the Ascent GX10, a mini supercomputer designed for AI and machine learning workloads. The system is powered by Nvidia’s GB10 Grace Blackwell Superchip, making it a notable addition to the AI computing market.
- The Ascent GX10 features an Arm-based CPU with a Blackwell GPU, delivering up to 1,000 TOPS of AI performance. It supports 128GB of unified memory and can connect multiple units for more demanding applications.
- The compact form factor of the Ascent GX10 provides an alternative to large data centers, allowing researchers and developers to run complex AI workloads without requiring large-scale infrastructure.
- Asus has not yet announced pricing or availability for the Ascent GX10, but it is expected to be comparable to Nvidia’s Project Digits, bringing high-performance AI computing to smaller-scale environments.
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The Verge
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Nvidia says ‘the age of generalist robotics is here’
- Nvidia announces availability of Isaac GR00T N1, an open-source foundation model for humanoid robots.
- Nvidia envisions the age of generalist robotics with the Isaac GR00T N1 model and new data-generation and robot-learning frameworks.
- The model enables adaptability and learning, allowing for autonomous tidying jobs and furthering the mission of creating companion robots.
- Companies like Boston Dynamics and Agility Robotics have had early access to the GR00T N1 model for their humanoid robots.
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TechCrunch
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An AI model from over a decade ago sparked Nvidia’s investment in autonomous vehicles
- Nvidia CEO Jensen Huang revealed that AlexNet, an AI model, inspired the company to invest in autonomous vehicles.
- AlexNet achieved significant success in 2012 for image recognition, leading to a resurgence of interest in deep learning.
- The success of AlexNet motivated Nvidia to focus on building self-driving cars for over a decade.
- Nvidia has partnerships with several automakers, uses its technology in various aspects of autonomous vehicles, and is embedded in the industry.
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Medium
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How Can NVIDIA Dynamo Accelerate and Scale Your AI Reasoning Models?
- NVIDIA Dynamo is an open-source library designed to accelerate and scale AI reasoning models, focusing on maximizing token revenue generation.
- It offers features like disaggregated serving, which splits processing and generation phases for optimizing large language models (LLMs) on separate GPUs.
- The library is open-source on GitHub, fostering collaboration and easy integration with tools like PyTorch and NVIDIA TensorRT-LLM.
- NVIDIA Dynamo enhances inference performance, reduces costs, and boosts revenue potential for AI factories deploying reasoning models.
- By leveraging disaggregated serving and smart routing, NVIDIA Dynamo revolutionizes the way reasoning models operate, increasing efficiency.
- Its distributed architecture allows scaling across multiple GPUs, supporting model parallelism and tensor parallelism for optimal performance.
- NVIDIA Dynamo integrates seamlessly with PyTorch, SGLang, TensorRT-LLM, and vLLM, catering to diverse workflows and accelerating adoption.
- The library addresses scaling challenges by improving latency, balancing workloads, and simplifying resource management across GPUs.
- Introduced at GTC 2025, NVIDIA Dynamo is lauded by Jensen Huang as “the operating system for the AI factory,” underlining its significance.
- As AI reasoning models gain prominence, NVIDIA Dynamo's technical prowess and collaborative ecosystem position it as a vital tool for the future.
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Digitaltrends
1w
195
Image Credit: Digitaltrends
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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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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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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