Nvidia unveiled Blackwell Ultra at GTC 2025, a major upgrade to its AI platform. It's designed for advanced AI reasoning, agentic AI, and physical AI, boasting 11x faster inference and 7x more compute. This marks a significant leap in AI, enabling more autonomous and sophisticated applications across industries, with broad industry support and cloud accessibility.
OpenAI has released o1-pro, a new reasoning model accessible via the Responses API. It boasts enhanced reasoning due to increased computational power but comes with a significantly higher price tag than other models, costing up to 10,000 times more than GPT-4o-mini. It's initially targeted at AI agent development.
OpenAI unveils o1-Pro, a new AI model with enhanced reasoning capabilities. It's powerful but expensive, targeting AI agents with a 200,000-token context window, image input, and structured outputs. Access is limited to developers meeting specific criteria, and it's primarily for use with OpenAI's Responses API, not Chat Completions API.
AMD's Versal™ AI Edge XQRVE2302, now Class B qualified, revolutionizes space-based processing. Its compact size, AI Engines (AIE-ML), and reprogrammability enable real-time insights and autonomous operations. This SoC, along with Alpha Data's reference design and the Versal XQR series, offers unprecedented flexibility and performance for the next generation of space exploration.
NVIDIA introduces the NVIDIA AI Data Platform, a reference design for AI infrastructure. Adopted by leading tech providers, it's built for AI inference workloads, featuring enterprise storage with AI query agents. Powered by NVIDIA's accelerated computing, it enables real-time insights using NVIDIA AI Enterprise software, NIM microservices, and Llama Nemotron models, enhanced by the NVIDIA AI-Q Blueprint.
Nvidia's CEO, Jensen Huang, anticipates an exponential surge in computing power demand, driven by reasoning and agentic AI. Despite market fluctuations and external pressures, Huang's vision centers on Nvidia's pivotal role in shaping the future of AI, emphasizing the Blackwell Ultra, Vera Rubin, CUDA, and Omniverse platforms as key drivers of growth.
Nvidia advances agentic AI with Llama Nemotron models, boasting enhanced reasoning and inference speed. The company also introduces a comprehensive ecosystem, including the AI-Q Blueprint and Data Platform, and expands partnerships with Microsoft, Oracle, and Google, fostering innovation in AI development and deployment for building next-generation autonomous AI agents.
At GTC 2025, Nvidia's CEO revealed a revolutionary robot powered by their latest AI chips. This marks a significant advancement in robotics, promising enhanced autonomy and intelligence for various applications. The new chips offer superior processing power, energy efficiency, and deep learning capabilities, paving the way for transformative changes across multiple industries, including manufacturing, healthcare and customer service.
Demystify AI jargon in business meetings. This concise glossary defines key terms like LLMs, Reasoning Engines, Diffusion Models, Agents, Agentic Systems, Deep Research Tools, Low-Code, and No-Code AI, ensuring everyone is on the same page for productive discussions and informed decisions. Improve team alignment and achieve shared objectives.
Alibaba's Quark transforms from a search and cloud storage tool into a comprehensive AI assistant powered by the Qwen model. It's gaining popularity in China for its 'deep-thinking' capabilities, multi-modal functionality, and user-friendly interface, marking a significant step in Alibaba's AI strategy and a major investment in the future of computing.
