Google disrupted a Chinese-linked hacking group that breached at least 53 organizations across 42 countries, the company said ...
As the industry looks toward 2026, data center architects and system designers face a convergence of pressures that make storage design more critical than ever. AI workloads continue to drive ...
Enterprise AI is entering a new phase. What began as experimentation—isolated models, limited pilots, and proofs of concept—is now evolving into AI factories: purpose-built infrastructure designed to ...
Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...
Crestron has introduced a suite of hardware and software products that work seamlessly to deliver outstanding collaboration experiences. When you purchase through links on our site, we may earn an ...
During today’s fiscal Q1 2026 earnings call, Apple CEO Tim Cook and CFO Kevan Parekh fielded, albeit vaguely, questions regarding the recent deal to have Gemini power the next-gen Siri. Here’s what ...
Microsoft is not just the world’s biggest consumer of OpenAI models, but also still the largest partner providing compute, networking, and storage to OpenAI as it builds its latest GPT models. And ...
Broadcom's 2023 acquisition of VMware fundamentally altered the enterprise virtualization market. What followed were dramatic price increases, forced bundling of unwanted products, and the elimination ...
Meta has elevated AI infrastructure to a top-level strategic priority with the launch of Meta Compute, a new initiative that brings responsibility for building and operating data centers and networks ...
Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
A recent independent study conducted by SiliconData reveals key architecture points for the next generation of artificial intelligence infrastructure. The most important takeaway from a recent ...
DDN and NVIDIA are enabling enterprises and hyperscalers to operationalize large-scale AI faster by eliminating data bottlenecks that limit performance, utilization, and time-to-value. As generative ...