WEKA

💬 As AI moves from experimentation to real-world impact, the conversation is shifting. It’s no longer just about investment—it’s about how effectively your infrastructure, data, and models translate into measurable outcomes. Join us at #HumanX for a masterclass session exploring this shift, featuring an incredible group of voices shaping the AI-native economy: 🟣 Hope King (Macro Talk) 🟣 Val Bercovici (WEKA) 🟣 Dan Lawrence (Nebius) 🟣 Jonah Surkes (Generation Investment Management) Huge thanks to this panel for bringing their perspectives to what’s becoming one of the most important conversations in AI today. 👉 https://weka.ly/4shWC3M

🛹 We’re dropping into #HumanX next week with one goal: helping teams land AI performance. Swing by our booth to see how NeuralMesh accelerates inference, maximizes GPU utilization, and lowers the cost of AI. And don’t miss WEKA’s Val Bercovici on a masterclass panel, sharing his take on “Return on Intelligence” in the AI era. Clean lines. No wasted motion. Just performance that delivers. 🤙 See you in San Francisco: https://weka.ly/4c6qbiu

💭 What happens when memory stops being an afterthought—and becomes the advantage? In this conversation during #NVIDIAGTC on SiliconANGLE & theCUBE, Firmus Technologies’ Daniel Kearney and WEKA’s Val Bercovici unpack a major shift: infrastructure decisions are no longer just about today’s workloads, but how you stay ready for what’s next. With WEKA’s Augmented Memory Grid, Firmus is extending the life of GPU investments, adapting to new AI demands as they emerge—and delivering 6.5x more tokens per GPU in the process. Because in the age of AI agents, flexibility isn’t nice to have—it’s everything. 🔗 https://weka.ly/41N7Kuu

💸 In financial services, data latency isn’t just a technical issue—it’s lost revenue. In this blog, WEKA's Steven Miller breaks down a growing reality: AI adoption is accelerating, but storage infrastructure is quietly holding firms back. Idle GPUs, slower backtesting, and fewer insights all add up to missed opportunities. NeuralMesh helps close the gap, keeping compute fully utilized and turning speed into profitability. 🔗 https://weka.ly/4bNMtqz

🧠 AI isn’t stalling at the model—it’s stalling at the infrastructure. In this analysis, Steve McDowell (NAND Research) zeroes in on what matters most: operationalizing production AI and minimizing inference cost. 💡 “The idea that inference costs are determined by the memory infrastructure layer rather than the compute layer is convincing…” That shift changes everything. With NeuralMesh AIDP and Augmented Memory Grid—now integrated with NVIDIA STX—WEKA is tackling both sides of the equation: scaling AI into production and driving down cost per token. 💬 “No competitor offers the same unique combination… and it’s available today.” A sharp, unfiltered look at where #AIInfrastructure is headed—and why memory is at the center of it. 📄 Read the full analysis here: https://weka.ly/4cinOdQ

💭 In this piece, WEKA's Val Bercovici and Semi Doped’s Vik Sekar dig into the real bottleneck behind agentic AI: memory and storage. While the industry fixates on models, the economics are quietly breaking at the infrastructure layer. The reality: → Most systems only hit ~50–60% KV cache reuse → That means constant recomputation, higher latency, and runaway costs But with the right approach to context memory, it’s possible to reach 99% KV cache hit rates—dramatically improving performance, efficiency, and cost per inference. Take a closer look 👇

🎬 In a world… where #AI workloads are growing faster than infrastructure can keep up, the builders, the thinkers, and the operators will come together next week at HumanX. WEKA is heading into the action with NeuralMesh—helping enterprises accelerate inference, maximize GPU utilization, and lower the cost of AI (with the metrics to prove it). Because in this new era, it’s not just ROI—it’s Return on Intelligence. See you in San Francisco. 🔗 https://weka.ly/4m1VQpP #HumanX

🎤 AI performance isn’t just about GPUs anymore—it’s about how the entire system comes together. In our conversation with Ted M. from AMD, he shared how organizations are rethinking their approach—optimizing across compute, networking, and increasingly, storage—to improve performance and total cost. As Ted points out, advancements in storage are helping reduce latency and unlock new efficiencies across AI workloads. Thanks to Ted and the AMD team for the great insight and perspective on where #AIInfrastructure is headed.

💬 At #NVIDIAGTC, Sunil Gupta of Yotta Data Services Private Limited put it simply: in a market like India, AI success is a volume game. With WEKA’s Augmented Memory Grid, Yotta will be able to maximize GPU utilization, accelerate inference, and drive down the cost per token—so those efficiencies can be passed on to customers. Because at scale, better infrastructure doesn’t just power AI. It makes it accessible. 🔗 Learn more about the benefits of Augmented Memory Grid: https://weka.ly/4caJFnq

⏪ ICYMI: The UK is making a major bet on AI to help unlock one of science’s toughest challenges—fusion energy. With a £45M investment, the new “Sunrise” supercomputer is set to power AI-driven simulations of plasma behavior and reactor physics—accelerating progress toward commercially viable fusion. Congratulations to the UK Atomic Energy Authority and partners on this milestone—we’re honored to be part of your story. 🔗 https://weka.ly/4sAHHCu