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Monitoring and troubleshooting generative AI inference endpoints operating at scale is challenging. When your large language model (LLM) endpoint’s P99 latency spikes, you must determine in minutes whether the root cause is GPU memory pressure, a saturated KV cache, unbalanced traffic across Availability Zones, or an auto scaling policy that hasn’t triggered. The shift from

Stay up to date on the latest in health tech, digital health and health AI news with this weekly brief. This is news from the week of June 15 to 19. ARPA-H launches program to redefine sleep as ‘measurable, controllable’ health driver The Advanced Research Projects Agency for Health (ARPA-H) launched Tuesday a research funding

When Demis Hassabis pitched DeepMind to a few venture capitalists back in 2010, the business plan was almost comically audacious. “Step one: Solve intelligence. Step two: Use it to solve everything else,” he recalls in a conversation at Stanford Graduate School of Business with Stanford University President Jonathan Levin. “And people were quite confused. But

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AI Key takeaways from day two of the Databricks Data + AI Summit After unveiling a number of key announcements at Databricks’ Data + AI Summit in San Francisco on Tuesday, the company added further context and messaging around its latest product and service introductions during a three hour keynote session on Wednesday. Here are

The ghost of a 19th century English economist may be haunting yet another part of the AI boom.  In 1865, William Stanley Jevons observed that when the Watt steam engine made coal use more efficient—decreasing the amount required to a task—coal consumption actually skyrocketed. More than 150 years later, one economist is citing this phenomenon