Happy Daylight Savings Time (U.S.) to you! Big things happened in HPC-AI last week, here’s a brief (7:46) run-through of recent news: TSMC $100 billion investment in Arizona, new “real world” AGI benchmarks unveiled ….
News Bytes 20250310: TSMC’s $100B for Arizona Fabs, New AGI Benchmarks, JSC’s Quantum-Exascale Integration, Chinese Quantum Reported 1Mx Faster than Google’s
March 10, 2025 by
TSMC to Invest $100B in 3 New U.S. Fabs, Packaging, R&D
March 4, 2025 by
TSMC (TWSE: 2330, NYSE: TSM) today announced its intention to expand its investment in advanced semiconductor manufacturing in the United States by an additional $100 billion. Building on the company’s ongoing $65 billion investment in its advanced chip fabs in Phoenix, TSMC’s total investment in the U.S. is expected to reach US$165 billion. The expansion […]
IBM Adds Granite 3.2 LLMs for Multi-Modal AI and Reasoning
February 26, 2025 by
IBM (NYSE: IBM) today announced additions to its Granite portfolio of large language models intended to deliver small, efficient enterprise AI. The new Granite 3.2 models include: A new vision language model (VLM) for document understanding tasks that IBM said demonstrates performance ….
Survey Finds 25% of Data Managers Greenlight Any Projects Powered by AI
February 20, 2025 by
For enterprise data teams, GenAI expectations are sky-high, and a new survey finds that management often leads the charge. A quarter of executives (25 percent) say their leaders will greenlight any project “with AI as a core component,” while the largest group (44 percent) are a bit more ….
SoftBank Corp. and Quantinuum in Quantum AI Partnership
January 28, 2025 by
SoftBank Corp. and Quantinuum today announced a partnership in quantum computing intended to “unlock innovative quantum computing solutions that will overcome the limitations of classical artificial intelligence and realize next-generation technologies.” SoftBank made major news last week at the White House, when President Trump said the Japan-based ….
CEOs Seek to Recalculate AI Journey amid Backlash, Study Finds
January 21, 2025 by
Global management consulting partnership Kearney, and Futurum, a research, intelligence and advisory firm, today jointly announced the release of the 2025 CEO AI Management study.The study examined leadership’s stance and status of organizational AI adoption, implementation and roadmaps – revealing alarming backlash effects that CEOs may already experience.
@HPCpodcast Industry View: A Deep Dive into High-Density Data Center Cooling and Efficiency Strategies with DDC Solutions
January 17, 2025 by
In this “Industry View” episode of the @HPCpodcast, Chris Orlando of DDC Solutions discusses the rapidly changing landscape of high density data center cooling, monitoring, safety and compliance, hybrid liquid-air solutions and other strategies for data center power efficiency. DDC’s cabinet technology, DCIM real-time monitoring and dynamic ….
Nvidia at CES: Omniverse Blueprint for Industry, Generative Physical AI, Access to Blackwells, Cosmos Model for Physical AI
January 7, 2025 by
Nvidia issued its anticipated raft of news at CES this week, here’s an overview of announcements for the HPC-AI sector: ‘Mega’ Omniverse Blueprint for Industrial Robot Fleet Digital Twins The company said Mega is an omniverse framework for next-gen industrial AI and robot simulation through software-defined testing and optimization of factories and warehouses.
Outreach Redefines Sales Prospecting with Launch of AI Prospecting Agents
December 31, 2024 by
New AI product automates prospecting tasks, enabling sellers to focus on relationships, and revenue-generating activities Outreach, the Sales Execution Platform built for intelligent revenue workflows, announced the launch of Outreach AI Prospecting Agents, an autonomous AI solution that will transform the way revenue teams build new logo and expansion pipeline. AI Prospecting Agents are integrated […]
Four Ways to Exponentially Multiply Your Enterprise AI Success
December 30, 2024 by
In this contributed article, Jesse Todd, CEO of EncompaaS, discusses the first steps for an organization wishing to harness the inherent value of its data and multiply AI success.
