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- Pegatron uses NVIDIA Triton Inference Server, open-source software that helps deploy, run and scale AI models across all types of processors, and frameworks. It works hand-in-hand with NVIDIA TensorRT, software that simplifies neural networks to reduce latency.
blogs.nvidia.com/blog/pegatron-ai-omniverse/Pegatron Taps AI, Omniverse and Digital Twins | NVIDIA Blogs
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Jun 2, 2024 · Pegatron’s developers built the flexible digital twin platform for engineers and factory managers to collaboratively plan, simulate, and optimize their production lines, providing real-time insights about facilities, equipment, and maintenance tasks.
Aug 16, 2022 · Pegatron uses NVIDIA Triton Inference Server, open-source software that helps deploy, run and scale AI models across all types of processors, and frameworks. It works hand-in-hand with NVIDIA TensorRT, software that simplifies neural networks to reduce latency.
May 28, 2023 · Electronics manufacturer, Pegatron, is using NVIDIA AI and Omniverse to digitalize their factories so they can super-accelerate factory bring-up, minimize change orders, continuously optimize ...
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Jun 2, 2024 · To address these challenges, they’re investing in industrial digitalization and AI-enabled digital twins to unlock new possibilities from planning to operations. Developers at Pegatron, an electronics manufacturer based in Taiwan, used NVIDIA AI, NVIDIA Omniverse, and Universal Scene…
Mar 29, 2023 · Pegatron Achieves Smart Factory and Industrial Automation Inspection with NVIDIA Metropolis and Omniverse. COMPUTEX—May 29, 2023—Pegatron today announced its collaboration with NVIDIA to integrate the latest AI-driven defect detection and digital twin technologies into its factory.
Mar 19, 2024 · PEGATRON is proud to collaborate with NVIDIA to help shape the future of AI and accelerated computing. PEGATRON introduces the AS201-1N0[1], an AI server equipped with an NVIDIA GH200 Grace Hopper Superchip that seamlessly complements LLM training and inference applications.
With Pegatron servers using NVIDIA A100 Tensor Core GPUs, the production side can train AI models on a large scale and quickly. Similarly, inference servers with NVIDIA A40 GPUs can efficiently execute AI model inference.
