Evan Womack (@ewomack17) header
Evan Womack (@ewomack17) profile picture
Denver, CO
Joined December 2013
Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)Photo by Evan Womack (@ewomack17)
🙌 Excited to see @weka and @backblaze team up! The collaboration gives AI teams a validated way to use NeuralMesh for performance-sensitive workloads and Backblaze B2 for the data, checkpoints and outputs they need to keep at scale. spr.ly/6017BGbN69
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Pretty exciting to see this AI factory coming together in Georgia. @AxeCompute is bringing 288 @nvidia Blackwell Ultra GPU nodes online, backed by more than 20 PB of high speed storage from @weka. spr.ly/6010BGktNo
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Inference gets complicated quickly, and memory can become an unexpected bottleneck. This @weka article breaks down three architecture patterns that can slow production inference and looks at some ways to make better use of the GPUs already in place. spr.ly/6019BGXEI5
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👏 Excited to see our partnership with MKISCORE 엠키스코어 grow as they become @weka’s official distributor in Korea. Together, we’re helping more orgs build #AIInfrastructure that can keep up with growing workloads and get more from their GPUs. 🔗 spr.ly/6010BGVrik
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AI looks very different across industries, but the infrastructure challenges can be surprisingly similar. This @weka article takes a look at how eight industries are using NeuralMesh 6 to keep data moving and GPUs busy. Check it out ⬇️ spr.ly/6012BGTWTA
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Excited to see @weka join @wwt_inc and other tech leaders in launching the Spirit of St. Louis AI Innovation Center. It’s a great step toward making high performance #AIInfrastructure more accessible to researchers, startups and industry. spr.ly/6012BGrGCu
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If you’re in London and work in AI, HPC or infrastructure, WEKA Exchange next week could be a good one to check out. It’s a chance to hear what others are working on, swap ideas and meet people in the local tech community. Take a look 👇 spr.ly/6012BGRWLK
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🇰🇷 Korea Supercomputing Conference 2026 just wrapped up! It was great to see the @weka team, MKISCORE, customers and partners come together with the Korean HPC and AI community. Thanks to everyone who helped make it a great event. #KSC2026
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Heading to #AIInfraSummit 2026? Be sure to check out the WEKA booth (710) for some swag, dirty sodas and a good conversation about where #AIInfrastructure is headed. Hope to see you there! spr.ly/6014BGu9sj
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In Episode 3 of #DeepGeeks, Dr. Serena Huang sits down with @weka’s Val Bercovici to unpack the surprising connection between middle managers, AI agents and the infrastructure needed to make AI work at scale. Worth a listen: spr.ly/6011B1hSul
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I found this @InfoWorld article especially interesting, including the recognition of @weka as one of the storage platforms neoclouds are standardizing on for demanding AI workloads. Worth a read 👇 spr.ly/6013B1CK8l
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I’m excited about what @weka and @anyscalecompute are working on together to keep data moving and GPUs working across ingest, training, and serving. If you’re thinking about how to get more out of your GPU infrastructure, this is worth a look: spr.ly/6010B17MHk
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🙌 Excited to see WEKApod named a finalist in the @thecubetv TechForward Awards for AI Infrastructure & Systems! 👏 Congrats to the entire @weka team and all the other finalists! spr.ly/6018B1A0eO
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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/6013B1fZ6P
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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/6014B1NAJ8
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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/6016B12iOm
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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/6017B1FJ9x
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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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At @RaiseSummit in Paris, @weka's Val Bercovici shared what he’s seeing firsthand as it relates to AI: agents and enterprise AI projects in production, massive GPU commitments, and increasingly important decisions around storage, memory, and token economics. Worth a watch. 👇
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