Randy Shoup discusses the "Velocity Initiative," a transformation that doubled engineering productivity and modernized eBay’s DORA metrics. He shares the technical playbook used to scale 4,500 ...
OpenAI’s Sora shutdown reveals a deeper risk: over reliance on AI vendors. Two strategic lessons every company needs now.
Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...
A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...
Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...
Nvidia is not just a leader in training, but also in AI inference. AMD has carved out a nice niche in inference, and also has a nice agentic AI opportunity with its CPUs. Broadcom is set to benefit ...
Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ASICs for AI hyperscalers. Arm Holdings should benefit immensely as inference ...
As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...
As the 2026 Winter Olympic Games come to a close, the competitions leave behind valuable lessons for both educators and students alike. This year, the premier international multisport event was hosted ...
Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...
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