News from the AI & ML world
DeeperML - #nvidiagtc
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Jesus Rodriguez@TheSequence
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TheSequence
, BigDATAwire
Nvidia's GTC 2025, held in San Jose, California, concluded this week, showcasing the company's advancements in AI hardware and software. The event, drawing an estimated 25,000 attendees, was described as "The Super Bowl of AI," underscoring Nvidia's dominant position in the high-end GPU market essential for training and running AI models. CEO Jensen Huang, dubbed "AI Jesus," unveiled powerful new hardware like the Blackwell Ultra AI Factory Platform and teased future platforms like Rubin Ultra, demonstrating Nvidia's commitment to meeting the growing compute demands of next-generation AI models.
The conference also highlighted Nvidia's progress on the software front, with the launch of the Llama Nemotron family of open-source reasoning models. These models, designed for accuracy and speed, are already being integrated into platforms like Microsoft's Azure AI Foundry and SAP's Joule copilot. SEEQC and NVIDIA announced they have completed an end-to-end fully digital quantum-classical interface protocol demo between a QPU and GPU. This marks a move towards AI agents capable of solving problems independently. Furthermore, SEEQC and Nvidia reported a breakthrough in quantum computing with a fully digital quantum QPU-GPU interface that leverages Single Flux Quantum (SFQ) technology's ultra-fast clock speeds and on-Quantum Processor digitization to eliminate bandwidth bottlenecks, reduce latency and create an optimal digital link to NVIDIA GPUs. Recommended read:
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staff@insidehpc.com
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References:
BigDATAwire
Nvidia's GTC 2025 event showcased the company's advancements in AI, particularly highlighting the integration of AI into various industries. CEO Jensen Huang emphasized that every industry is adopting AI and it is becoming critical for future revenue. Nvidia also unveiled an open Physical AI dataset to advance robotics and autonomous vehicle development. The dataset is claimed to be the world’s largest unified and open dataset for physical AI development, enabling the pretraining and post-training of AI models.
Central to Nvidia’s ambitions for Physical AI is its Omniverse platform, a digital development platform connecting spatial computing, 3D design, and physics-based workflows. Originally designed as a simulation and visualization tool, Omniverse has evolved significantly and has now become more of an operating system for Physical AI, allowing users to train autonomous systems before physical deployment. In quantum computing, SEEQC and Nvidia announced they have completed an end-to-end fully digital quantum-classical interface protocol demo between a QPU and GPU. Recommended read:
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Jaime Hampton@BigDATAwire
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NVIDIA's GTC 2025 showcased significant advancements in AI, marked by the unveiling of the Blackwell Ultra GPU and the Vera Rubin roadmap extending through 2027. CEO Jensen Huang emphasized a 40x AI performance leap with the Blackwell platform compared to its predecessor, Hopper, highlighting its crucial role in inference workloads. The conference also introduced open-source ‘Dynamo’ software and advancements in humanoid robotics, demonstrating NVIDIA’s commitment to pushing AI boundaries.
The Blackwell platform is now in full production, meeting incredible customer demand, and the Vera Rubin roadmap details the next generation of superchips expected in 2026. Huang also touted new DGX systems, highlighting the push towards photonic switches to handle growing data demands efficiently. Blackwell Ultra will offer 288GB of memory. NVIDIA claims the GB300 chip brings 1.5x more AI performance than the NVIDIA GB200. These advancements aim to bolster AI reasoning capabilities and energy efficiency, positioning NVIDIA to maintain its dominance in AI infrastructure. Recommended read:
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Ellie Ramirez-Camara@Data Phoenix
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Nvidia's GTC 2025 event showcased the company's latest advancements in AI computing. A key highlight was the introduction of the Blackwell Ultra platform, designed to support the growing demands of AI reasoning, agentic AI, and physical AI applications. This next-generation platform builds upon the Blackwell architecture and includes the GB300 NVL72 rack-scale solution and the HGX B300 NVL16 system.
The Blackwell Ultra platform promises significantly enhanced AI computing power, with the GB300 NVL72 delivering 1.5x more AI performance than its predecessor and increasing revenue opportunities for AI factories by 50x. Major cloud providers and server manufacturers are expected to offer Blackwell Ultra-based products in the second half of 2025. Supporting this hardware is the new NVIDIA Dynamo open-source inference framework, which optimizes reasoning AI services across thousands of GPUs. Recommended read:
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Chris McKay@Maginative
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NVIDIA's GTC 2025 event showcased significant advancements in AI infrastructure, highlighting the Blackwell Ultra and Rubin architectures, along with several related technologies and partnerships. Jensen Huang, Nvidia CEO, delivered a keynote address outlining the company’s vision for the AI-powered future, emphasizing improvements in processor performance, network design, and memory capabilities. The Blackwell Ultra GPUs are being integrated into DGX systems to meet the rising demands of AI workloads, especially in inference and reasoning.
NVIDIA is also expanding its offerings beyond chips with the introduction of desktop AI supercomputers for developers. The DGX Station, powered by the GB300 Blackwell Ultra Superchip, aims to bring data center-level AI capabilities to a compact form factor. Nvidia introduced Dynamo, an open-source inference software engineered to maximize token revenue generation for AI factories deploying reasoning AI models. The presentation emphasized a clear roadmap for data center computing, advancements in AI reasoning capabilities, and bold moves into robotics and autonomous vehicles. Recommended read:
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Allyson Vasquez@NVIDIA Technical Blog
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NVIDIA's GTC 2025 is shaping up to be a major event for AI enthusiasts, packed with networking opportunities, live demos, and discussions on the latest AI innovations. Data Phoenix is highlighting the event as a key gathering, featuring meetups, networking receptions, and hands-on sessions alongside the main conference. They are also co-hosting and supporting key events like the INFRA@GTC Networking Reception and AI Demo Jam.
VAST Data plans to showcase its data platform for enterprise Retrieval Augmented Generation (RAG) use cases at the conference. Microsoft and NVIDIA have also announced a partnership to integrate RTX Neural Shaders into a DirectX preview in April, bringing more AI capabilities to game development. This integration will allow developers to leverage Tensor cores in RTX GPUs to accelerate neural networks within a game's graphics pipeline. Recommended read:
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CXO Staff@CXO Insight Middle East
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NVIDIA Newsroom
, Developer Tech News
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NVIDIA is making waves at GDC 2025, showcasing how AI is revolutionizing the gaming landscape. The company is spotlighting its advanced AI tools and technologies, including breakthroughs in neural rendering, RTX capabilities, and digital human technologies. These innovations are designed to empower game developers, enabling them to craft more immersive and realistic gaming experiences for players. NVIDIA's demonstrations highlight the transformative power of AI in supercharging the next generation of games.
NVIDIA is also expanding RTX Remix, a modding platform for RTX AI PCs. This platform allows modders to capture game assets and automatically enhance materials using generative AI tools. The company also rolled out NVIDIA DLSS 4. RTX Remix is breathing new life into classic games by allowing modders to remaster them with full ray tracing. With AI-powered tools, modders can now create stunning RTX remasters, pushing the boundaries of graphics and extending the lifespan of beloved games. Recommended read:
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