WEKA

She did it! Our daughter is a graduate Electrical Engineer (EE) from Iowa State University. Our whole family is immensely proud of her. Honestly, I've never seen anyone put their head down so hard as Nellie and just get it done. Her ability to drive through the task – while recruiting and gathering colleagues and friends to come along – is truly her superpower. And that natural ability to be endlessly curious, while being unswervingly supportive of others, will serve you so well, Nellie. Trust me! We could not be more proud of you – we can't wait to see what you do next! Michelle Leaverton

Real venture story. Rare risk tolerance and patience by investors, co-founders, and families alike. I love the win here, especially in my field. But this exception to the deep tech startup and venture capital rule, should make everyone keenly aware of the long-term emotional minefield involved in such an endeavor. Category creation over 10 'short' years, is not for the faint of heart!

What if you could cut your inference cost-per-million-tokens by 7–10x — on the same GPUs you already own? Oracle and WEKA just proved it. A 72-GPU OCI cluster with WEKA's Augmented Memory Grid served 10x the token throughput and 7x more total tokens than DRAM-only baselines. For a SaaS company running long-context AI at scale — think code assist, search, agents — that's the difference between $3/M tokens and $0.30. I can't imagine the savings the largest SaaS company in the world currently could do on their own infrastructure.... https://lnkd.in/gMd3PcXQ Excellent work Dennis Kennetz Amar Gowda and WEKA team!

✅ First launch at HPE in the 📖. It's been a great couple of weeks learning about the incredible innovations at HPE. Check out everything we just launched to accelerate data and make enterprise AI ambitions a reality. 👇 https://lnkd.in/grkpvRT6 And I can't wait for all the exciting things we are building for Discover. 🟢 #AI #Innovation #AIStorage #AgenticAI

Fascinating perspective from WEKA CEO Liran Zvibel on the growing global AI memory shortage and what it means for the future of #AIInfrastructure . As inference workloads continue to scale, the conversation is shifting from simply acquiring more hardware to optimizing the infrastructure already in place. Worth the read: http://spr.ly/6040BBIrqG

Love that dirty water? Its a lot cleaner now! Then you must be looking forward to #BioITExpo in Boston! Excited to see the conversations happening around AI, life sciences, and the infrastructure helping accelerate research and innovation across the industry. If you’ll be attending, stop by Booth #215 and connect with the WEKA team: http://spr.ly/6040BBI65e

Fascinating perspective from WEKA CEO Liran Zvibel on the growing global AI memory shortage and what it means for the future of #AIInfrastructure . As inference workloads continue to scale, the conversation is shifting from simply acquiring more hardware to optimizing the infrastructure already in place. Worth the read: http://spr.ly/6041BBaXVZ

Fascinating perspective from WEKA CEO Liran Zvibel on the growing global AI memory shortage and what it means for the future of #AIInfrastructure . As inference workloads continue to scale, the conversation is shifting from simply acquiring more hardware to optimizing the infrastructure already in place. Worth the read: http://spr.ly/6040BBaX3I

Interesting perspective from VentureBeat on how the AI conversation is shifting from simply acquiring more GPUs to maximizing the value of the infrastructure already deployed. One of the biggest themes: inference efficiency and the growing “memory tax” impacting AI economics at scale. It’s exactly the challenge WEKA ’s Augmented Memory Grid (AMG) was designed to address, delivering up to 6.5x more tokens per GPU while lowering cost per token. Worth the read: http://spr.ly/6045BBQ941