arXiv Machine Learning By Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang, Vijay K. Shah

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration

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arXiv:2605. 23809v2 Announce Type: replace-cross Abstract: The Open Radio Access Network (O-RAN) architecture allows AI to be embedded directly into the RAN through modular xApps and rApps, yet creating these applications collecting data, training models, writing code, and deploying them safely remains slow and largely manual.

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OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems

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Maia 200: A Software Defined Dataflow System for Large-scale AI Acceleration

Maia 200 is a software‑defined dataflow system that delivers high performance AI acceleration, achieving 10,145 Tflop/s in FP4 and 5,072 Tflop/s in FP8 within a 750 W TDP and 7 TB/s HBM bandwidth. It exemplifies a new class of Software Defined Locally Accessed Dataflow Architectures (SDLA), which program dataflow engines to orchestrate specialized memories and data‑movement engines, shifting focus from thread‑centric to data‑movement‑centric design. The system offers significant cost and energy savings while supporting massive parallelism for AI inference workloads, positioning it as a compelling solution for next‑generation high‑performance computing.

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