NVidia Blog·
Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up predetermined steps while people manually correlate insights and direct next steps. Automation is no longer the finish line — it’s the launchpad to autonomy. The […]
Read full articleNews Highlights: NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list. 26 systems on the TOP500 adopted the NVIDIA Grace CPU, up eight from the previous list. The top eight systems on the Green500 run on NVIDIA GPUs and nine of the top 10 use NVIDIA technologies. No. […]
In the past year, the enterprise AI ecosystem has gained enormous capability and zero consensus. Developers now have a remarkable set of tools for building AI agents: OpenAI’s frameworks, Anthropic’s Claude tooling, LangChain, LangGraph, CrewAI, Microsoft AutoGen, and a growing list of alternatives. Each promises to coordinate reasoning loops, manage multi-step task execution, and connect agents to tools and APIs. For experimentation, the progress has been substantial. Teams can now assemble sophisticated agent workflows in days that would have taken months two years ago. But I’ve watched this pattern before. In over two decades of building and selling distributed systems platforms, I’ve seen the same dynamic play out across nearly every major infrastructure shift: the tools for consuming a new capability arrive before the infrastructure for governing it does. The gap that emerges isn’t immediately obvious in development environments. It becomes obvious in production. That’s exactly wh
The chipmaker’s head of healthcare argues AI can ease many of the sector’s ills, including reducing medics’ workload and tackling the shortage of trained staff
Nvidia's open-weight strategy with Cosmos 3 could accelerate decentralized AI development, challenging proprietary AI service dominance. The post Nvidia’s Cosmos 3 Super ranks in top tier of Text-to-Image Arena despite dominating other benchmarks appeared first on Crypto Briefing.
Supermicro's strategic positioning in AI infrastructure could enhance its market competitiveness, despite facing pressure from larger rivals. The post Super Micro Computer surges 15% on Nvidia Vera Rubin AI infrastructure announcement appeared first on Crypto Briefing.
Public pushback against data centers has emphasized their water and energy consumption, and now Nvidia is highlighting its claim that the Rubin generation reference design for a fully liquid-cooled data center has "eliminated massive amounts of power usage and pretty much all water usage." Still, it doesn't address all of the concerns around AI data centers, including during their construction, and for the power generation requirements of the massive facilities. Also, as Gizmodo points out, Nvidia's blog post doesn't mention the cost of building this style of data center vs. one using less efficient air cooling, but claims that "every cloud … Read the full story at The Verge.
What does an AI company do after one of those not-acqui-hire deals? Groq raised money, is leaning into its neocloud business, and hiring new execs.
Nvidia announced a new cooling system that cuts water use inside the data center. But it does nothing to address AI's biggest water use — fossil fuel power plants.
