Now every time we look at the data, we see something new that we can take immediate advantage of. This is made possible by NVIDIA-powered data science workstations. The combination of RAPIDS and software from Datalogue and OmniSci completely changes the way we collect, process, visualize and understand data. - Jared Ritter, Director of Wireless Engineering, Charter Communications
The NVIDIA-powered data science workstation enables our data scientists to run end-to-end data processing pipelines on large data sets faster than ever. Leveraging RAPIDS to push more of the data processing pipeline to the GPU reduces model development time which leads to faster deployment and business insights. - Mike Koelemay, Lockheed Martin
The NVIDIA-powered data science workstation provides significant capabilities for training deep neural networks for robot perception...With it, the MIT FAST Labs’ ability to train drones to see depth and avoid collisions from a single camera was significantly accelerated because we could process larger batch sizes. - Sertac Karaman, Associate Professor of Aeronautics and Astronautics at MIT
We have a diverse environment and are looking to couple data science and analytics to a wider range of our technical practices. The NVIDIA-powered data science workstation promises to ease the transition…[with] well-designed software and highly performant hardware it provides 20X and higher speed-ups in our analytics work. - Steve Walker, Associate Director, ARUP, Advanced Digital Engineering
The H2O Driverless AI platform powered by NVIDIA-powered data science workstations allow customers to improve the productivity of their data scientists by making better predictions faster. Through this effort we continue to democratize AI and build the ecosystem that makes AI accessible to all. - Vinod Iyengar, VP Product Marketing, H2O.ai
Now every time we look at the data, we see something new that we can take immediate advantage of. This is made possible by NVIDIA-powered data science workstations. The combination of RAPIDS and software from Datalogue and OmniSci completely changes the way we collect, process, visualize and understand data. - Jared Ritter, Director of Wireless Engineering, Charter Communications
The NVIDIA-powered data science workstation enables our data scientists to run end-to-end data processing pipelines on large data sets faster than ever. Leveraging RAPIDS to push more of the data processing pipeline to the GPU reduces model development time which leads to faster deployment and business insights. - Mike Koelemay, Lockheed Martin
The NVIDIA-powered data science workstation provides significant capabilities for training deep neural networks for robot perception...With it, the MIT FAST Labs’ ability to train drones to see depth and avoid collisions from a single camera was significantly accelerated because we could process larger batch sizes. - Sertac Karaman, Associate Professor of Aeronautics and Astronautics at MIT
We have a diverse environment and are looking to couple data science and analytics to a wider range of our technical practices. The NVIDIA-powered data science workstation promises to ease the transition…[with] well-designed software and highly performant hardware it provides 20X and higher speed-ups in our analytics work. - Steve Walker, Associate Director, ARUP, Advanced Digital Engineering
The H2O Driverless AI platform powered by NVIDIA-powered data science workstations allow customers to improve the productivity of their data scientists by making better predictions faster. Through this effort we continue to democratize AI and build the ecosystem that makes AI accessible to all. - Vinod Iyengar, VP Product Marketing, H2O.ai
Now every time we look at the data, we see something new that we can take immediate advantage of. This is made possible by NVIDIA-powered data science workstations. The combination of RAPIDS and software from Datalogue and OmniSci completely changes the way we collect, process, visualize and understand data. - Jared Ritter, Director of Wireless Engineering, Charter Communications
The NVIDIA-powered data science workstation enables our data scientists to run end-to-end data processing pipelines on large data sets faster than ever. Leveraging RAPIDS to push more of the data processing pipeline to the GPU reduces model development time which leads to faster deployment and business insights. - Mike Koelemay, Lockheed Martin
The NVIDIA-powered data science workstation provides significant capabilities for training deep neural networks for robot perception...With it, the MIT FAST Labs’ ability to train drones to see depth and avoid collisions from a single camera was significantly accelerated because we could process larger batch sizes. - Sertac Karaman, Associate Professor of Aeronautics and Astronautics at MIT
We have a diverse environment and are looking to couple data science and analytics to a wider range of our technical practices. The NVIDIA-powered data science workstation promises to ease the transition…[with] well-designed software and highly performant hardware it provides 20X and higher speed-ups in our analytics work. - Steve Walker, Associate Director, ARUP, Advanced Digital Engineering
The H2O Driverless AI platform powered by NVIDIA-powered data science workstations allow customers to improve the productivity of their data scientists by making better predictions faster. Through this effort we continue to democratize AI and build the ecosystem that makes AI accessible to all. - Vinod Iyengar, VP Product Marketing, H2O.ai
Built on the World’s Most Advanced GPUs Bring the power of RTX to your data science workflow with workstations powered by NVIDIA RTX and NVIDIA Quadro RTX professional GPUs. Get up to 96 GB of ultra-fast local memory on desktop workstations or up to 24 GB on laptops to quickly process large datasets and compute-intensive workloads anywhere. Leverage the latest in AI-acceleration tools and graphics technology for stunning data visualization and configure remote access for maximum flexibility. With NVIDIA RTX you can maximize productivity, reduce time to insight, and lower the cost of data science projects with workstations that ensure the highest level of compatibility, support, and reliability. learn more
Built on the World’s Most Advanced GPUs Bring the power of RTX to your data science workflow with workstations powered by NVIDIA RTX and NVIDIA Quadro RTX professional GPUs. Get up to 96 GB of ultra-fast local memory on desktop workstations or up to 24 GB on laptops to quickly process large datasets and compute-intensive workloads anywhere. Leverage the latest in AI-acceleration tools and graphics technology for stunning data visualization and configure remote access for maximum flexibility. With NVIDIA RTX you can maximize productivity, reduce time to insight, and lower the cost of data science projects with workstations that ensure the highest level of compatibility, support, and reliability. learn more
Built on the World’s Most Advanced GPUs Bring the power of RTX to your data science workflow with workstations powered by NVIDIA RTX and NVIDIA Quadro RTX professional GPUs. Get up to 96 GB of ultra-fast local memory on desktop workstations or up to 24 GB on laptops to quickly process large datasets and compute-intensive workloads anywhere. Leverage the latest in AI-acceleration tools and graphics technology for stunning data visualization and configure remote access for maximum flexibility. With NVIDIA RTX you can maximize productivity, reduce time to insight, and lower the cost of data science projects with workstations that ensure the highest level of compatibility, support, and reliability. learn more
Integrated with GPU-Accelerated Software NVIDIA-powered data science workstations come with a comprehensive stack of tested and optimized data science software built on NVIDIA CUDA-X AI. The stack features RAPIDS data processing and machine learning libraries, NVIDIA optimized XGBoost, TensorFlow, PyTorch, and other leading data science software. This accelerates enterprise, workflows for faster data preparation, model training and data visualization. learn more
INTEGRATED WITH GPU-ACCELERATED SOFTWARE NVIDIA-powered data science workstations come with a comprehensive stack of tested and optimized data science software built on NVIDIA CUDA-X AI. The stack features RAPIDS data processing and machine learning libraries, NVIDIA optimized XGBoost, TensorFlow, PyTorch, and other leading data science software. This accelerates enterprise, workflows for faster data preparation, model training and data visualization. learn more
NVIDIA Data Science Workbench Simplify your data science development environment and maximize productivity with NVIDIA Data Science Workbench. Workbench puts key assets, like GPU-optimized containers, automatic software updates, and dockerized GitHub content, within a click’s reach. LEARN MORE