Deploying large language models (LLMs) for inference requires reliable GPU capacity, especially during critical evaluation periods, limited-duration production testing, or…
At Google Cloud, serving the massive-scale needs of large foundation model builders and AI-native companies is at the forefront of…
By Harshad SaneRanker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized…
Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal…
The flexibility of Google Cloud allows enterprises to build secure and reliable architecture for their AI workloads. In this blog…
Authors: Harshad Sane, Andrew HalaneyImagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers…
Large-scale commercial search systems optimize for relevance to drive successful sessions that help users find what they are looking for.…
There’s a lot of excitement right now about AI enabling mainframe application modernization. Boards are paying attention. CIOs are getting…
With the dawn of the gen AI era, businesses are facing unprecedented opportunities for transformative products, demanding a strategic shift…
Prior studies investigating the internal workings of LLMs have uncovered sparse subnetworks, often referred to as circuits, that are responsible…