ZenDNN 5.2: Accelerating vLLM V1 Engine and Recommender Systems Inference on AMD EPYC™ CPUs
… Offline and Edge Use-Cases : Privacy and connectivity aren't always guaranteed. …
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AMD Optimizing CPU Libraries (AOCL)
… This approach supports offline development and guarantees consistent versioning across all components, making it easier to build and maintain a complete AOCL ecosystem without relying on external dependencies. …
ZenDNN 5.2.1: Deepening Quantization and Expanding the AI Inference Frontier on AMD EPYC™ CPUs
… This makes it ideal for serving workloads where input distributions vary and you want quantization benefits without a separate offline quantization workflow. …
Maximum AI Performance With AMD Ryzen™ AI PRO CPUs
… 1 Plus, with a combined up to 125 TOPS of AI performance and up to 96GB of GPU memory, running large scale models like Llama 3.1 70B-Q8 Instruct offline and locally is now not just possible – but seamless and practical. …
AMD™ Data Intelligence Platform and AI Researcher
… How can analysis of user logon and device usage patterns help identify the underlying causes of endpoints appearing offline, particularly when these trends are correlated with incident reports and support ticket histories? …
Rethinking AI from Silicon to Systems: Efficiency will Define the Next Era of Intelligence
… When AI runs locally, efficiently and offline, it can observe context continuously and act without explicit prompts. …
Windows Local AI: AI model deployment using Windows ML on AMD NPU
… The offline capability means AI features remain fully functional without internet connectivity, making the application reliable in any environment. …