When we think about Zero Trust security, we often focus on traditional network connections. But...
Everyone talks about GPUs in AI. Few talk about the bottleneck that really matters - memory. In this episode of Top Shelf Tech, Jeremy Nees sits down with WEKA's CTO Shimon Ben David and Principal Product Manager Val Bercovici to reveal how data access speed makes or breaks AI performance.
Watch the full interview below to see how WEKA's pushing AI infrastructure beyond conventional limits, or read on for the highlights.
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This blog recaps Jeremy's TopShelfTech interview with WEKA, available to watch above. |
The Real Estate Rush in Computing
GPU memory costs $40,000 per unit, making it the priciest computing real estate around. But here's the kicker - memory bandwidth, not GPU power, often bottlenecks AI systems. WEKA's cracked this problem by creating microsecond-level data access that beats traditional memory systems at their own game.
Blueprints for AI Success
DeepSeek just proved anyone can build competitive AI models. WEKA's response? WARP (WEKA AI RAG Reference Platform) - battle-tested architecture that scales from laptops to data centers. It packs years of hyperscale customer experience into a system that works wherever you need it.
The Hidden Cost of AI Data
RAG systems pack a punch, but they come with a catch. Converting data for AI use multiplies storage needs by 5-15x. One petabyte becomes fifteen. WEKA's architecture handles this explosion without sacrificing speed.
AI Infrastructure's Next Chapter
Market jitters aside, AI tools keep getting better and cheaper. History shows what happens next - when powerful tech becomes accessible, innovation explodes. The industrial revolution proved it with coal. AI's following the same playbook.
Ready to speed up your AI infrastructure? Let's talk, connect with our team at The Instillery.
