⏪ ICYMI: Val Bercovici shared his perspective with @VentureBeat on why the AI race is shifting from models to infrastructure efficiency.
A timely look at how DeepSeek is reshaping AI economics with lower inference and cache-read costs.
Take a look 👇 https://t.co/MNScxqna0M
AI has moved beyond experimentation. Now the challenge is inference economics: running AI at scale, supporting agentic workloads, and meeting sovereignty requirements without runaway costs.
See how WEKA is tackling it at @superai_conf next week.
🗓️ https://t.co/10JVKEU3Zc
💭 What if data sovereignty is an architectural decision, not a compliance checkbox?
At #ISC26, Chris Ott (WEKA) and Ali Syed (DCAI) will share lessons from building Gefion, one of Europe’s first sovereign AI supercomputers.
🔗 https://t.co/ebNsmTLFhh
Legacy vendors will confidently tell you they can handle your AI workload. Then they go check the back. You've seen the back.
Nobody wants to go there.
🚪 https://t.co/1Kd0PdiFRT
🤝 Through our partnership with @Yoodli, WEKA is enabling go-to-market teams to practice real-world sales scenarios, receive objective feedback, and demonstrate readiness through scalable certification.
Here's how 👇 https://t.co/D3e4GowB4O
⚡ Inference is becoming the economic center of AI.
At #SuperAI 2026, WEKA is spotlighting how organizations can break through the AI memory wall, optimize token economics, and build infrastructure for cost-efficient AI at scale.
🔗 https://t.co/7Ydn4N8Pvu
📰 WEKA’s Val Bercovici puts it plainly: the AI race is no longer just about models — it’s about infrastructure efficiency.
Learn more in this article 👇 https://t.co/99bUSCmWij
Seismic simulations, fusion research, and grid studies demand massive throughput and nonstop GPU utilization at scale.
NeuralMesh eliminates storage bottlenecks to accelerate energy AI innovation.
Here's how 👇 https://t.co/qg2Vlu2f7H
⚡ AI and HPC workloads are converging fast, and infrastructure has to keep up.
Join WEKA’s @shimonbd at #ISC2026 for a live look at building high-performance infrastructure for accelerated compute at scale.
🔗 https://t.co/HK2N1HqKpB
🛫 Next stop: Singapore, Hamburg, and Paris.
We’re hitting the road to talk inference economics, memory efficiency, sovereign AI, and accelerated compute at scale.
🇸🇬 @superai_conf | June 10–11
🇩🇪 ISC | June 23–25
🇫🇷 @RAISESummit | July 7–9
👇 Full event details below
Today, we honor and remember the brave service members who made the ultimate sacrifice in service to our country.
As we spend time with family and friends this #MemorialDay, we pause to reflect on the courage, service, and sacrifice that made those moments possible.
We remember. 🇺🇸
🎤 Val Bercovici joined Hope King, Jonah Surkes, and Dan Lawrence at #HumanX to discuss the real economics behind AI at scale.
As token demand and energy constraints rise, infrastructure efficiency is becoming critical to AI performance and cost.
💬 https://t.co/Sg7jOJ6KWt
🤝 Excited to collaborate with @Nokia in its new AI Networking Innovation Lab alongside other leaders shaping the future of AI-native infrastructure.
As AI workloads scale, collaboration across networking, memory, storage, and compute is more critical than ever.
Full story ⬇️ https://t.co/waqqINbQB5
AI multitenancy shouldn’t force tradeoffs between isolation, performance, and efficiency.
NeuralMesh supports both physical and virtual isolation models from one platform and control plane — enabling true isolation with zero waste.
Here's how 👇 https://t.co/m537KauYPV
AI isn’t getting cheaper — token demand is exploding.
At #HumanX, WEKA's Val Bercovici joined industry leaders to discuss token ROI, the AI memory wall, and why infrastructure efficiency now defines AI economics.
Watch the full conversation 👇 https://t.co/RzLGvFuOUs
🏭 Manufacturing AI only works if infrastructure can keep up.
NeuralMesh helps accelerate predictive maintenance, robotics, and defect detection with ultra-low latency and real-time GPU performance.
Here's how 👇 https://t.co/6y7250aGSC
🌐 The global AI memory shortage is already reshaping how organizations scale #AIInfrastructure.
In @Forbes, WEKA CEO @liranzvibel explains why inference demand is colliding with limited memory supply and why optimization—not stockpiling hardware—is the path forward. https://t.co/tC1mc5zqw4
🇩🇪 We’re heading to #ISC26 to showcase how NeuralMesh powers simulation, AI training, inference, and automation together on a single platform built for accelerated compute.
👋 If you’re attending the show, stop by and connect with the WEKA team. https://t.co/uBeCBCsjFY