To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads distributed across cloud, edge and on-premises data center infrastructure. Managing and orchestrating generative
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GPUs were initially specialized for rendering 3D graphics in video games, primarily to accelerate linear algebra calculations. Today, GPUs have become one of…
GPUs were initially specialized for rendering 3D graphics in video games, primarily to accelerate linear algebra calculations. Today, GPUs have become one of the critical components of the AI revolution. We now rely on these workhorses to fulfill deep learning workloads, crunching through massive and complex semi-structured datasets. However, as demand for AI-based solutions has…
Join Pure Storage and NVIDIA on April 25 to discover the benefits of enhancing LLMs with RAG for enterprise-scale generative AI applications.
Join Pure Storage and NVIDIA on April 25 to discover the benefits of enhancing LLMs with RAG for enterprise-scale generative AI applications.
NVIDIA announced today its acceleration of Microsoft’s new Phi-3 Mini open language model with NVIDIA TensorRT-LLM, an open-source library for optimizing large language model inference when running on NVIDIA GPUs from PC to cloud. Phi-3 Mini packs the capability of 10x larger models and is licensed for both research and broad commercial usage, advancing Phi-2
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Genomics researchers use different sequencing techniques to better understand biological systems, including single-cell and spatial omics. Unlike single-cell,…
Genomics researchers use different sequencing techniques to better understand biological systems, including single-cell and spatial omics. Unlike single-cell, which looks at data at the cellular level, spatial omics considers where that data is located and takes into account the spatial context for analysis. As genomics researchers look to model biological systems across multiple omics at…
With NVIDIA AI, NVIDIA Omniverse, and the Universal Scene Description (OpenUSD) ecosystem, industrial developers are building virtual factory solutions that…
With NVIDIA AI, NVIDIA Omniverse, and the Universal Scene Description (OpenUSD) ecosystem, industrial developers are building virtual factory solutions that accelerate time-to-market, maximize production capacity, and cut costs through optimized processes for both brownfield and greenfield developments. The journey to building a full-scale digital twin of a factory is challenging.
This week’s model release features two new NVIDIA AI Foundation models, Mistral Large and Mixtral 8x22B, both developed by Mistral AI. These cutting-edge…
This week’s model release features two new NVIDIA AI Foundation models, Mistral Large and Mixtral 8x22B, both developed by Mistral AI. These cutting-edge text-generation AI models are supported by NVIDIA NIM microservices, which provide prebuilt containers powered by NVIDIA inference software that enable developers to reduce deployment times from weeks to minutes. Both models are available through…
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Just Released: NVIDIA Modulus v24.04
Modulus v24.04 delivers an optimized CorrDiff model and Earth2Studio for exploring weather AI models.
Modulus v24.04 delivers an optimized CorrDiff model and Earth2Studio for exploring weather AI models.
We’re excited to announce support for the Meta Llama 3 family of models in NVIDIA TensorRT-LLM, accelerating and optimizing your LLM inference performance. You…
We’re excited to announce support for the Meta Llama 3 family of models in NVIDIA TensorRT-LLM, accelerating and optimizing your LLM inference performance. You can immediately try Llama 3 8B and Llama 3 70B—the first models in the series—through a browser user interface. Or, through API endpoints running on a fully accelerated NVIDIA stack from the NVIDIA API catalog, where Llama 3 is packaged as…
Whether they’re monitoring miniscule insects or delivering insights from satellites in space, NVIDIA-accelerated startups are making every day Earth Day. Sustainable Futures, an initiative within the NVIDIA Inception program for cutting-edge startups, is supporting 750+ companies globally focused on agriculture, carbon capture, clean energy, climate and weather, environmental analysis, green computing, sustainable infrastructure and waste
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