WEKA

Big congrats to Melinda Armstrong for being named to @CRN’s 2026 Women of the Channel list 🎉 CRN recognized 1,700 women whose leadership and vision are helping shape the future of the channel industry. 📄 View the full list: weka.ly/4enNSpv

10M tokens a day. 🤯 That’s the scale advanced developers using Claude Code and agent swarms could reach. In @BusinessInsider, WEKA’s Val Bercovici explains what “tokenmaxxing” means—and the infrastructure needed to support it. 📰 Get the full story 👇 weka.ly/4251i2n

🙌 That’s a wrap on #MilipolTechX 2026 in Singapore! Huge thanks to our customers, partners, team, everyone who stopped by our booth, and our speakers for an incredible week of conversations around the future of #AIInfrastructure.

💬 Tokenmaxxing vs. signalmaxxing? According to Val Bercovici, both sides are arguing at the wrong layer. AI now needs more quality, security, & performance—without 3x the cost. 📺 Watch the full video: weka.ly/4ujuizp

😄 All smiles in Singapore at #MilipolTechX! #MTX2026

💜 Day 2 at #MilipolTechX 2026 is underway! We’re moving full speed ahead and are excited to connect with teams across the industry to share what WEKA is building for the next era of AI. 👋 Stop by and say hello if you’re here: weka.ly/4n0kWpM

At #NVIDIAGTC on @theCUBE, Val Bercovici said it best: “Carpe Tokenem.” In a token-driven economy, faster inference matters. With Firmus, WEKA unlocked up to 6.5x more tokens per GPU using Augmented Memory Grid. 🔗 weka.ly/3QAZ9sG

@ewomack17 💜

🙌 Looking forward to this session at #MilipolTechX @WEKA’s Callan Fox will break down what’s actually slowing AI inference down, from time-to-first-token delays to KV cache I/O. 🗓️: spr.ly/6012BBz3MK

@Power2Know 💜

Looking forward to this session with @nvidia's John Fragalla and @WEKA's Shimon Ben-David on what it actually takes to design an AI Factory for modern inference. Will be a really solid discussion if you’re working in this space 👇 spr.ly/6016BBzQAp

⚡ Day 1 of #MilipolTechX 2026 is in the books—and the energy showed up. Great conversations and strong interest in what it takes to run AI in production—especially around performance, data, and sovereignty. 🗓️ Here's a look at our upcoming speaking sessions: weka.ly/4weKbZR

AI consolidation is happening in real time. The @SpaceX x @Cursor_ai news is exactly what Val Bercovici called—SaaS + #AIInfrastructure coming together to own the full stack. Production + distribution under one roof. Take a look 👇 weka.ly/4n0Ah9Y

AI bottlenecks aren’t just about GPUs anymore. As LLMs and agent workloads scale, the real challenge is memory. WEKA’s Val Bercovici breaks down the AI memory wall with @sdxcentral's Kat Sullivan 👇 weka.ly/4vMnM5G

There’s a new wave of AI M&A taking shape. SaaS + AI infra (neoclouds, hyperscalers) are moving closer together—something Val Bercovici called months ago. In a token-driven world, efficiency wins. 💡Here's how WEKA’s Augmented Memory Grid is helping teams scale: weka.ly/4eCyjKu

🏭 AI is moving from pilot to production—and that’s where things get real. John Fragalla (@nvidia) + @shimonbd (WEKA) will break down how to design an AI Factory for inference—covering bottlenecks, performance, and cost. Don't miss it ⬇️ weka.ly/3QCA6VZ

📦 Kubernetes is the standard for AI—but storage hasn’t kept up. At #MilipolTechX, WEKA’s Christopher Jenkins will break down what’s happening and how to fix it. 🗓️ If you’re building AI on Kubernetes, don’t miss this: weka.ly/41Kp4Au

As inference scales, more GPUs aren’t fixing the problem—they’re exposing it. HBM is limited, expensive, and hard to scale. That’s the real bottleneck. The answer isn’t more hardware. It’s a new approach to memory. Take a closer look ⬇️ weka.ly/4czSPJ5

💭 What’s actually slowing your AI inference down? At #MilipolTechX, WEKA’s Callan Fox will break down how storage impacts latency, from time-to-first-token to KV cache I/O. 🗓️ weka.ly/4tniCvj

Are you getting the performance you expect from your #AIInfrastructure? NeuralMesh Observe gives you real-time insight to validate performance, troubleshoot faster, and understand what’s running across your environment. Here's how 👇 weka.ly/3OpviTm

💰 Do you actually know what your #AIInfrastructure costs? It’s not just GPUs + tokens. Hidden costs like engineering time, power, and opportunity cost add up fast. If you’re making infra decisions, don’t miss this 👇 weka.ly/4dO1UAt