AWS Machine Learning Blog NVIDIA NIM microservices now integrate with Amazon SageMaker, allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. You can deploy state-of-the-art LLMs in minutes instead of days using technologies such as NVIDIA TensorRT, NVIDIA TensorRT-LLM, and NVIDIA Triton Inference Server on NVIDIA accelerated instances hosted […]Continue reading
MIT News – Artificial intelligence Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The complementary techniques could result in significant improvements to the performance and energy-efficiency of systems like the massive machine-learning models that drive generative […]Continue reading
MarkTechPost Nvidia has open-sourced its Modulus platform, a hardware and software solution combining machine learning and physics-based simulation to create more accurate and efficient digital twins. A digital twin refers to a computer-based model or simulation that imitates the behavior and characteristics of a physical object or process. They are created by collecting data from […]Continue reading
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