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New WEKA-engineered systems dramatically reduce energy consumption, infrastructure costs, operational complexity, and shrink the datacenter footprint, achieving 267% higher effective capacity density and 114% higher performance density than market alternatives in a single rack for highly efficient, production-ready AI factories and inference infrastructure that deliver breakthrough economics. CAMPBELL, Calif., July 21, 2026 /PRNewswire/ - WEKA , the AI data and memory infrastructure company, today unveiled the third generation of its WEKApod Nitro, WEKApod Prime, and WEKApod Prime Max AI storage appliances, featuring custom-engineered chassis and patent-pending hardware innovations that deliver the highest performance and capacity density on the market today. Built to run seamlessly with WEKA's new NeuralMesh 6 software, a nnounced separately today, the systems deliver a unified AI inference infrastructure platform designed to help AI clouds, model builders, and enterprises scale production AI workloads while reducing infrastructure costs, footprint, power consumption, and operational complexity. As organizations deploy long-context, agentic, and retrieval-driven AI workloads at massive scale, infrastructure architectures built for traditional enterprise data workloads and early machine learning-era training are struggling to deliver the GPU utilization, token throughput...
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