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Sanofi is starting to see real payoffs from its AI initiatives, resulting in a faster "time to science."
According to Pradeep Bhandari of Sanofi, AI has proven its value in drug discovery by compressing the search for new drug molecules from a years-long process to a months-long process.
Everpure's Universal Data Intelligence product can access and rationalize data everywhere, including outside of Everpure systems, without requiring customers to move their data.
The technology industry is witnessing a CapEx supercycle, with hyperscalers estimated to spend a cumulative $3 trillion over the next 3 years.
The current demand-supply imbalance for flash storage is not expected to abate before the first half of calendar year 2026.
The cost of NAND flash memory jumped by 600% to 800% at the end of 2023.
The current high demand for AI infrastructure is a "supercycle" and not a short-term burst.
Enterprise discussions about AI are now dominated by connecting the technology to reality, results, and ROI, a shift that has occurred even over the last 3 months.
Enterprise customers are increasingly demanding to understand the ROI of AI projects earlier in discussions, a shift from 6-12 months ago when the focus was on experimentation.
Everpure works with and supports Meta across its IT, cloud, and AI footprints.
Everpure's newer relationship with Meta involves supporting their cloud footprint with a product set targeted at hyperscalers.
NeoClouds are a newer customer segment for Everpure, and the company is expanding into the GPU part of that market where demand is growing rapidly.