One of the defining characteristics of SRAM-heavy architectures from Groq and its rival Cerebras is that they are very fast when running LLM inferencing workloads, routinely achieving generation rates exceeding 500 and even 1000 tokens a second. The faster Nvidia can generate tokens, the faster code assistants and AI agents can act. But this kind of speed also opens the door to what Huang describes as test-time scaling. The idea is that by letting "reasoning" models generate more "thinking" tokens, they can produce smarter, more accurate results. So, the faster you can generate tokens, the les
A closer look at Nvidia's Groq-powered LPX rack systems… The Nutanix Agentic AI solution helps customers move from "racked and stacked" hardware to a "running and regulated" environment built for inference at scale. Nutanix Agentic AI makes that shift possible by bringing together breakthrough capabilities across the Nutanix stack. …
… Scaling inference isn't as simple as more GPUs, more tokens. Not all tokens are created equal With modern hardware, it'd be fairly trivial to maximize token throughput at the expense of individual user experience. …
… While those have also faltered, with notable crashes of the R1 Rabbit and Humane AI pin, Amazon could lean into the agentic conversation using the phone as a conversational, predictive, and service-driven interface, he said. “In that context, the competitive battleground moves away from hardware to… …
… MORE CONTEXT Cerebras plans humongous AI supercomputer in India backed by UAE Oracle AI sailed the world on Royal Navy flagship via cloud-at-the-edge kit AI hasn't delivered the profits it was hyped for, says Deloitte TSMC sees no signs of the AI boom slowing for at least two or three years The new… …
… Nvidia is also under some pressure to maintain its dominance of the AI infrastructure market as rival chip designers like AMD close the gap on hardware and software. …
… Nutanix now thinks that bare metal K8s offers worthwhile performance for AI workloads, especially training. Another piece of hardware that continues to concern Nutanix is the storage array. …
… As multi-cloud experts with certifications in AWS and Microsoft Azure, Interactive provides advice on the best platform for specific workloads and allows businesses to extend the life of existing hardware while modernizing at a sustainable pace. …
… But the data you stored 20 years ago is still available today, and we’ve maintained complete API backward compatibility.” The post also notes that the S3 API “has been adopted and used as a reference point across the storage industry” and that “Multiple vendors now offer S3 compatible storage tools… …
… MIG suits multi-tenant scenarios where isolation is non-negotiable: Private AI inference where each model runs in a guaranteed, isolated environment; regulated industries where healthcare imaging, financial modeling, or defense workloads require hardware-level separation; and research organizations… …
… Thomas Cornely, EVP of Product Management at Nutanix, said in a statement: "Nutanix Agentic AI extends our AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform, and Nutanix Enterprise AI to deliver a cloud operating model to enterprise AI factories, enabling infrastructure and platf… …