4 results for “edge AI”
Liquid AI releases the LFM2.5 family — 1.2B and 2.6B open-weight models optimized for on-device agentic AI with hybrid architecture, multi-stage RL post-training, and day-one support across llama.cpp, MLX, vLLM, and NPU partners AMD and Nexa AI.
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Apple and Nvidia are pursuing divergent AI strategies: Nvidia fuels the infrastructure boom while Apple focuses on on-device AI. Which approach will prove more valuable?
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AMD shares surged after Microsoft committed to deploying AMD's Helios Rackscale solution at scale on Azure, validating AMD's AI hardware ahead of its Advancing AI 2026 conference.
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NVIDIA has introduced the Jetson Thor T3000 and T2000 modules, giving robotics developers new options for running multimodal AI models and agent workloads directly at the edge.
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