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Fitting 4.4x More Context on Jetson: Implementing TurboQuant on NVIDIA’s AGX Thor
Six iterations of KV-cache compression: from a naive PyTorch baseline to fused vectorized Triton kernels running real LLM inference on...
From Pilot to Production: A Blueprint for Scaling Edge AI
As enterprises push AI beyond the data center, the gap between a successful pilot and a production deployment at scale...
ZEDEDA and SORBA.ai Partner to Accelerate Delivery of Low-Code AI Models at the Edge
Getting AI models into production at the edge is hard. Building them, packaging them, and deploying them reliably across hundreds...
The Intelligent Field: How AI and Realtime Are Reshaping Oil and Gas Operations on the Ground
What does it actually take to deploy AI in hazardous, legacy-heavy industrial environments — where a bad decision doesn’t just...
The Intelligent Field: How AI and Realtime Are Reshaping Oil and Gas Operations on the Ground
For decades, industrial field operations have run on instinct, experience, and scheduled maintenance windows. Equipment runs until it doesn’t. Data...
Edge AI Models Explained: Balancing Accuracy, Power, and Thermal Limits
Cloud computing, with its virtually unlimited set of resources, leads people to expect a lot from AI. In a big...
ZEDEDA Edge Intelligence Launch
ZEDEDA CEO and founder Said Ouissal introduces ZEDEDA Edge Intelligence Platform, designed to help enterprises build, deploy and secure AI...
Intelligence in the Physical World: Panel Discussion with Submer, Qualcomm, SecEdge, and SNUC
A panel of edge AI experts join ZEDEDA’s Chief Product Officer Padraig Stapleton to discuss the state of edge AI...
Customer Story: Scaling AI-Driven Solar Tracking Worldwide
PV Hardware’s AI-powered solar tracking software, DeepTrack, helps maximize energy production across large-scale solar farms worldwide. By partnering with ZEDEDA,...
From Pilot Purgatory to Autonomous Edge AI: Introducing ZEDEDA Edge Intelligence
Despite record global AI spending of $2.5 trillion in 2026, most edge AI projects stall in the pilot phase. Organizations...
Why Edge AI Pilots Get Stuck and How to Move Them Into Production with OnLogic and ZEDEDA
Most Edge AI projects don’t fail in the lab. They fail in the field. Intermittent connectivity, harsh physical environments, and...