The Kamiwaza and Intel(R) Gaudi(R) 3 integration includes an optimization layer to maximize workload performance while reducing energy consumption - enabling the Department of Homeland Security to reduce analysis time by 85%.
Sensitive data creates a hard trade-off: organizations want AI's insights but can't risk moving regulated information to centralized processing. Kamiwaza, powered by Intel Gaudi 3 accelerators, resolves it by bringing AI processing directly to the data - on-premises, in the cloud, or at the edge - so information stays within existing security boundaries. This solution brief details the joint architecture: Kamiwaza's distributed data engine, inference mesh, and natural language interface paired with Gaudi 3's high-performance, energy-efficient compute and industry-standard Ethernet scaling. The result keeps sensitive data secure, converts legacy formats into queryable assets, cuts complex analysis from days to minutes, and lowers energy use by up to 40%. Built-in support spans HIPAA, GDPR, FISMA/FedRAMP, and SOC 2, with deployment patterns for on-premises, cloud, edge, and hybrid environments. Includes the Department of Homeland Security weather-analysis success story. Download the brief for full specifications and benchmarks.
