Late last year I got pulled into a capacity planning exercise for a global retailer that had wired a 70B model into their product search and recommendation pipeline. Every search query triggered an inference call. During holiday traffic their cluster was burning through GPU-hours at a rate that made their cloud finance team physically uncomfortable….
Most large enterprises run on deterministic software foundations. Business rules are embedded within workflows, state transitions are modeled explicitly and escalation paths are defined in advance. System behavior is specified in advance, making outcomes predictable. Meaningful scenarios are encoded as conditional branches and validated before release. For decades, this approach has delivered the reliability and…
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 Gemma and Mistral models, the company reported significant memory savings and faster runtime with no measurable accuracy loss, including a 6x reduction in memory…
