📌 ICYMI: WEKA Federal is now an Awardable vendor in Tradewinds, helping government agencies access #AIInfrastructure that makes every GPU, megawatt, and rack count.
🔗 weka.ly/4ila2tU
🇩🇪 Just one week until @NVIDIAGTC Berlin!
We’re excited to connect with the innovators shaping what’s next in #AIInfrastructure.
Attending? Come say hello to the team! 👋
🗓️ weka.ly/4jWopWH
#NVIDIAGTC
Billions of files. Petabytes of data. Where is it all going?
WEKA NeuralMesh Data Catalog gives teams the visibility to track capacity, find datasets, identify cold data, and understand what's changing across AI environments.
Discover more 👇 weka.ly/4xUHa06
🌐 WEKApod 3 packs serious #AIInfrastructure into a dense footprint:
⚡ 10.2 TB/s per rack
💾 70 NVMe drives in 2U
🤯 Up to 1.1 EB effective capacity
📉 Less power, cooling & space
More AI per rack. Less infrastructure to power it.
🔗 weka.ly/4xnUdI3
💭 AI is booming, but where’s the opportunity for MSPs, resellers, and service providers?
At @IngramMicroInc Experience 2026, WEKA’s Joe Hassel highlighted the data layer as a key area for growth.
👉 Check it out: weka.ly/4cKYRHH
🎉 Congratulations to the entire @FirebirdCloudAI team on the opening of its new AI Factory in Hrazdan, Armenia!
A major milestone for Firebird and Armenia’s growing tech ecosystem.
👏 WEKA is proud to be part of the journey: weka.ly/45FKwZl
💡 At @RaiseSummit in Paris, WEKA’s Val Bercovici shared what he’s seeing firsthand: agents in production, tens of thousands of GPUs being committed, and critical decisions around storage, memory, and token economics.
Check it out 👇
🔥 AI infrastructure has a predator of its own: bottlenecks.
NeuralMesh keeps GPUs fed, reduces unnecessary recomputation, and turns more of every watt into useful work.
😎 Get to the NeuralMesh: weka.ly/458XzlQ
🎙️ In the latest episode of #DeepGeeks, Generation Investment Management's Dave Easton explains why AI's biggest constraint isn't GPUs—it's power.
Take a look 👇 weka.ly/4h9udej
🤝 Great #AIInfrastructure takes more than GPUs.
Our partners at Spectro Cloud share how NeuralMesh 6 helps simplify the AI data layer with Kubernetes-native operations, intelligent data services, and a unified platform for production AI.
Check it out 👇 weka.ly/4pPovAA
💜 Every GPU deserves WEKApod.
Built for the inference era, WEKApod delivers the performance and density #AIInfrastructure needs to keep GPUs busy—not waiting on storage.
📸 weka.ly/4cgzdKH
🤝 At @RaiseSummit, WEKA's Val Bercovici and @tensorwave's @piotrstomasik discussed model routing, inference demand, and why CPUs, GPUs, memory, and KV cache all play a role in scaling production AI.
Take a look 👇
🎙️ What's next for #AIInfrastructure?
In the latest episode of In the Arena, Allyson Klein and WEKA's Jim Sherhart discuss NeuralMesh 6, WEKApod 3, and why the inference era calls for a new approach.
Watch now 👇 weka.ly/4vPFMuH
🤔 What happens when one AI data center isn't enough?
At #RAISESummit, WEKA's Val Bercovici and @WhiteFiber_'s @SamirTabar discuss why distributed AI is becoming essential, and how AI superclusters can span multiple sites without sacrificing performance.
💭 How do you get more from every rack, every watt, and every square foot of your data center?
In a new blog, Larry Hart from @MicronTech shares how Micron and WEKA are tackling AI storage density together.
🔗 weka.ly/4vG11Pt?
In this conversation, HTX's Pan Yong Ng shares why low latency, high throughput, and the right technology partner are essential for maximizing GPU utilization and AI performance.
🎥 weka.ly/3RGd1Th
🤝 At @RaiseSummit, @scality CEO @jlecat shared why the Scality + WEKA partnership continues to grow.
Together, we're helping organizations in France adopt #AIInfrastructure with local, French-language expertise and support.
👉 Learn more: weka.ly/4aNCkJC
📣 We're excited to welcome Shanta Kohli as WEKA's new Chief Marketing Officer!
Shanta brings 25+ years of experience building category-leading brands and growth engines across enterprise infrastructure, cybersecurity, and cloud.
🔗 weka.ly/4bcwUIn
💭 One of the biggest takeaways from #RAISE2026?
AI is no longer just about building bigger models. It's about lowering the cost per token and making production AI more efficient.
@liranzvibel and Dylan Patel (@SemiAnalysis_) shared their thoughts at @RaiseSummit.













