… The company described it as a digital immune system, with Gillis saying that “Live Protect is meant to be a finger in the dike that you use to plug the holes in between the maintenance windows and the patching cycle, which is also being changed due to Mythos.” Security also will come later this sum…
… Soon, every company will deploy fleets of agents, composing workflows on infrastructure that they control.” Dell, of course, is big on selling on-premises AI architecture, since that is in fact what it does for a living. …
… Second, we’re scaling infrastructure with Azure AI, specialized silicon, and responsible AI frameworks that help customers deploy safely. Third, we’re empowering the ecosystem, giving every software company access to the same models, tools, and guardrails so they can build their own agents. …
… Such infrastructure would enable shared intent and shared context, accelerate collective innovation, and unlock genuinely emergent capabilities in multi-agent human–AI systems.” Such systems “can address a far broader class of intelligence problems with greater accuracy and robustness,” he argues, … …
… At the same time, the Nutanix Cloud Manager gets new features to help service providers operate and monetize AI infrastructure, with monitoring of AI infrastructure, and the ability to bill by GPU usage, API calls, or model consumption. “We are extending SP Central into GPU enabled systems where we… …
… As we noted earlier , Michael Dell said that “AI is fueling a renaissance in enterprise hardware, a shift from bits back to atoms,” and pointed to a Dell survey that found that 67 percent of AI workloads run outside the cloud, which is unlikely to change over concerns about data security and sovere… …
… To drive real value, you need an architecture where chips are designed for the models, models are grounded in your data, agents and application are built with models and secured by the infrastructure.” Last week, we wrote about the pair of eighth generation Tensor Processor Unit TPU compute engines… …
… Building the infrastructure – design for AI – is what Cadence has been doing for more than 35 years. “What's new now is the other half, where we take the AI that's been created and we bake it into our solutions so that they're easier to use, they're more powerful, they're more effective, and that c… …
… The toolkit includes a range of open agentic offerings, from Nemotron and other models to AI-Q, which developers can use as a blueprint for building custom AI agents for enterprise deployments. There also is AI-Q, an architecture that includes frontier models for orchestration. …
… One of the key areas for Nvidia is developing and making available open source advanced AI foundation and physical AI models that run on its infrastructure, a move that comes as the AI industry shifts its emphasis from model training to inferencing . …