Loved this conversation on Episode 5 of Deep Geeks, where Dr. Serena Huang connects with @nscale’s Roopesh Panchasra and @weka’s Iris Hermelin to talk about breaking new ground in AI. Worth a listen 👇 spr.ly/6011B1h9Gl
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As AI gets more stateful, its working memory creates a new security challenge. Take a closer look at what that means in this article and explore how @weka is helping teams protect AI memory. spr.ly/6019B1CKSV
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🙌 10 years of #NVIDIADGX is a huge milestone! At @weka, we’ve seen that evolution up close, collaborating with @nvidia to help organizations keep data moving at the speed AI demands. 👏 Here’s to the next decade of innovation.
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One of the things I enjoy most about working at @weka is seeing how our technology is being used to support real-world innovation. This customer story from the @UniofOxford's Advanced Research Computing (ARC) service is a great example. Check it out 👇 spr.ly/6018B1fwVs
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As agentic workloads evolve, so does the question of where inference should happen. CPU? GPU? Both? Don't miss this convo with @weka, @Oracle, and @SemiAnalysis_ to learn more about the tradeoffs and what they mean for building #AIInfrastructure. spr.ly/6015B1F5hF
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In the latest episode of @weka's Deep Geeks, Generation Investment Management's Dave Easton discusses why getting more intelligence out of every kilowatt is becoming one of the biggest challenges and opportunities in AI. Check it out ⬇️ spr.ly/6018B10Wun
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🇦🇺 Excited to see @weka partnering with @IngramMicro_Au to help bring AI data and memory infrastructure to more organizations across Australia! 🔗 spr.ly/6015B1IYyF
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Great conversation on The Tech Trek with Amir Bormand and @weka's Shimon Ben-David about what it really takes to move AI from proof of concept to production. Definitely worth a watch if you're thinking about the future of enterprise AI. spr.ly/6015B1tCvx
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ICYMI: In Episode 4 of @weka's Deep Geeks, Dave Easton explores why energy efficiency is becoming a critical competitive advantage as AI scales. Worth a listen if you’re thinking about where #AIInfrastructure is headed: spr.ly/6015B1SWK3
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How many GPUs do you have? That used to be the question. In this @weka article, Dave Easton shares why intelligence per kilowatt-hour, customer happiness, and team efficiency are becoming better measures of AI value. Take a look ⬇️ spr.ly/6010B1lyjE
WEKApod brings @weka's NeuralMesh and purpose built hardware together to deliver more capacity and performance in a compact system. Here's how: spr.ly/6016B1iTdj
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In this @Forbes article, @weka's Liran Zvibel explains why latency has become a key factor in AI innovation, customer experience, and infrastructure efficiency, and why the biggest opportunity may not be adding more GPUs, but rethinking memory. spr.ly/6018B1dFs2
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Interesting results from @WEKA and @OracleCloud Infrastructure: 10x higher token throughput, 10x more concurrent users, and 7x more tokens served per GPU for long-context AI inference. Take a look ⬇️ spr.ly/6019BDu4cl
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Big milestone for DCAI! The first 110 PB of high-performance storage is now live on #Gefion. Proud to see @weka's NeuralMesh powering secure, sovereign AI with sub-ms latency and better GPU utilization.
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Tokenmaxxing vs signalmaxxing? Wrong debate. Every token now carries more weight. More GPUs won't fix it. The bottleneck is the memory wall. Winners aren't spending the most. They're wasting the least. weka.ly/4t17LpR #MemoryWall #Inference #AIInfrastructure
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Huge congratulations to Melinda Armstrong for being recognized on @CRN’s 2026 Women of the Channel list 🎉 Proud to see her representing @WEKA alongside so many incredible women in the industry. spr.ly/6019BBxrPf
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Interesting read from @WEKA on how AI cloud providers are thinking about multitenancy and infrastructure flexibility as AI workloads continue to scale. Worth a look if you’re following where AI infrastructure is headed next ⬇️ spr.ly/6017BBveiZ
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