The agentic AI boom is here; operations will decide who wins
… With support for NFS over RDMA, enterprises achieve high-throughput, low-latency data access that prevents GPUs from becoming idle. …
… With support for NFS over RDMA, enterprises achieve high-throughput, low-latency data access that prevents GPUs from becoming idle. …
… Advancing the enterprise AI stack. IBM is offering Blackwell Ultra GPUs on IBM Cloud for large-scale training, high-throughput inferencing, and AI reasoning. …
… Nvidia has validated and benchmarked the array's performance for workloads of up to 128 GPUs, conducted functional tests for enterprise-grade availability and reliability, and confirms that the storage layer efficiently feeds data to accelerated computing resources to deliver faster model training,… …
… High-efficiency, standard form factors such as 19-inch chassis and air cooling were key design points for Rebellions as it meant the system could be deployed into existing enterprise datacenters, something that can't be said of Nvidia's latest generation of liquid-cooled Rubin GPUs. …
… It's trying to get back there now Growing void between enterprise and frontier AI puts open weights models in the spotlight Nvidia's Rubin GPU is likely to be late thanks to memory shortage and technical challenges Intel gets trapped in Elon's reality distortion field as it joins in megafab delusio… …
… It's a similar story with Qwen 3.5, where all but the two largest models would fit comfortably on a single GPU. In many cases, these smaller enterprise-focused models may not even need that much compute, Buss notes. "We don't often need things like GPU acceleration. …
… He thinks that kind of growth will recur. “Cloud and software budgets for enterprise IT services have traditionally represented only around 5 percent of corporate revenue,” he said. “As model-driven agents begin to handle mainstream work tasks across industries, our total addressable market will ex…
… GPU clusters and AI accelerators don't operate on the old rules. …
… After years of GPUs and AI accelerators dominating headlines, CPUs are back in the limelight because those agentic frameworks, tools, API calls, and AI-generated code snippets need to run on something, and it's not GPUs. …
… The exact ratio of prefill GPUs to decode GPUs is going to vary from model to model and depend to some degree on your desired goodput. You might want fewer decode and more prefill GPUs if you're trying to serve lots of users. …