News from the AI & ML world
DeeperML
Jesus Rodriguez@TheSequence
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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.
ImgSrc: substackcdn.com
References :
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.
ImgSrc: substackcdn.com
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References :
- TheSequence: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good
- BigDATAwire: AI Hype and Glory at Nvidia GTC 2025
Classification:
- HashTags: #NvidiaGTC #AIHardware #AISoftware
- Company: Nvidia
- Target: AI Community
- Attacker: Nvidia
- Product: AI Hardware and Software
- Feature: AI Infrastructure
- Type: AI
- Severity: Informative