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Primeur weekly 2019-03-25

Special

Meeting the challenges of tomorrow - at scale ...

FocusCoE to support HPC Centres of Excellence for outreach to the broader European HPC community ...

Focus

University of Maribor and XENYA signed contract for an HPC system as part of the national research infrastructure project HPC - RIVR, readying Slovenia for EuroHPC participation ...

Exascale supercomputing

U.S. Department of Energy and Intel to deliver first exascale supercomputer ...

Argonne deepens the Department of Energy's footprint in high-impact computing ...

Crowd computing

NVIDIA announces Jetson Nano: $99 tiny, yet mighty NVIDIA CUDA-X AI computer that runs all AI models ...

Quantum computing

In a new quantum simulator, light behaves like a magnet ...

Long-distance quantum information exchange - success at the nanoscale ...

Middleware

NERSC and NVIDIA to partner on compiler development for Perlmutter system ...

Hardware

DDN to unveil transformative solutions for accelerating AI, analytics and Deep Learning at NVIDIA GTC 2019 ...

NVIDIA introduces new breed of high-performance workstations for millions of data scientists ...

Global computer companies announce NVIDIA-powered enterprise servers optimized for data science ...

Mellanox HDR 200G InfiniBand deep learning acceleration engines demonstrates two times higher performance for Artificial Intelligence (AI) platforms with NVIDIA ...

Altair OptiStruct runs up to 10x faster on NVIDIA GPUs ...

Pure Storage unveils NVIDIA-powered solutions for full spectrum of AI initiatives ...

Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs ...

Supermicro offers end-to-end portfolio of NVIDIA GPU systems ...

Applications

H5 Data Centers completes a High-Performance Compute (HPC) suite in partnership with Forced Physics Data Center Technology ...

Supercomputers to help supercharge ceramic matrix composite manufacturing ...

A surprising, cascading earthquake ...

Brain-inspired AI inspires insights about the brain and vice versa ...

Supercomputer simulations shed light on how liquid drops combine ...

Novel MD simulation sheds light on mystery of hydrated electron's structure ...

Kicking neural network automation into high gear ...

DOE extends University PPPL contract ...

The Cloud

NVIDIA teams with Amazon Web Services to bring AI to millions of connected devices ...

NVIDIA introduces new breed of high-performance workstations for millions of data scientists


18 Mar 2019 San Jose - NVIDIA has teamed with the world's leading OEMs and system builders to deliver powerful new workstations designed to help millions of data scientists, analysts and engineers make better business predictions faster and become more productive.

Purpose-built for data analytics, machine learning and deep learning, the systems provide the extreme computational power and tools required to prepare, process and analyze the massive amounts of data used in fields such as finance, insurance, retail and professional services.

NVIDIA-powered workstations for data science are based on a powerful reference architecture made up of dual, high-end NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI accelerated data science software, such as RAPIDS, TensorFlow, PyTorch and Caffe. CUDA-X AI is a collection of libraries that enable modern computing applications to benefit from NVIDIA's GPU-accelerated computing platform.

"Data science is one of the fastest growing fields of computer science and impacts every industry. Enterprises are eager to unlock the value of their business data using machine learning and are hiring at an unprecedented rate data scientists who require powerful workstations architected specifically for their needs", stated Jensen Huang, founder and CEO of NVIDIA. "With our partners, we are introducing NVIDIA-powered data science workstations - made possible by our new Turing Tensor Core GPUs and CUDA-X AI acceleration libraries - that allow data scientists to develop predictive models that can revolutionize their business."

Data science problems involve data on a massive scale and require large-scale processing capabilities. NVIDIA-powered data science workstations make it easy for scientists to wrangle, prep, train and deploy models quickly and accurately. Features and benefits include:

1. Dual, high-end Quadro RTX GPUs: Powered by the latest NVIDIA Turing GPU architecture and designed for enterprise deployment, dual Quadro RTX 8000 and 6000 GPUs deliver up to 260 teraflops of compute performance and 96GB of memory using NVIDIA NVLink interconnect technology. Quadro RTX-powered data science workstations provide the capacity and bandwidth to handle the largest datasets and compute-intensive workloads as well as the graphics power required for 3D visualization of massive datasets, including VR.

2. Data science software stack built on the Linux operating system and Docker containers:

  • NVIDIA CUDA-X AI: A collection of NVIDIA's GPU acceleration libraries to accelerate deep learning, machine learning and data analysis. CUDA-X AI includes cuDNN for accelerating deep learning primitives, cuML for accelerating machine learning algorithms, TensorRT for optimizing trained models for inference and over 15 other libraries. Together they work seamlessly with NVIDIA Tensor Core GPUs to accelerate the end-to-end workflows for developing and deploying AI-based applications. CUDA-X AI can be integrated into deep learning frameworks, including TensorFlow, PyTorch and MXNet, and leading Cloud platforms, including AWS, Microsoft Azure and Google Cloud.
  • NVIDIA RAPIDS: A set of GPU-accelerated libraries analytics for data preparation, traditional machine learning and graph analytics.
  • Anaconda Distribution: With Anaconda Inc., NVIDIA is providing Anaconda Distribution, an innovative way for data scientists to perform Python/R, data science, AI and machine learning.

3. Enterprise ready: Tested and optimized in conjunction with workstation manufacturers to meet the needs of mission-critical enterprise deployments.

4. Optional software support: Offers peace of mind with NVIDIA-developed software and containers, including deep learning and machine learning frameworks.

By freeing data scientists to work locally, NVIDIA-powered data science workstations are the ideal complement to NVIDIA’s data science portfolio.

"The NVIDIA-powered data science workstation enables our data scientists to run end-to-end data processing pipelines on large datasets faster than ever", stated Mike Koelemay, chief data scientist at Lockheed Martin Rotary & Mission Systems. "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."

NVIDIA-powered Data Science Workstations help OEMs and data science software providers meet the growing demand for GPU-accelerated data science capabilities and offer powerful new options to customers conducting AI-based exploration.

NVIDIA-powered systems for data scientists are available immediately from global workstation providers such as Dell, HP and Lenovo and regional system builders, including AMAX, APY, Azken Muga, BOXX, CADNetwork, Carri, Colfax, Delta, EXXACT, Microway, Scan, Sysgen and Thinkmate.
Source: NVIDIA

Back to Table of contents

Primeur weekly 2019-03-25

Special

Meeting the challenges of tomorrow - at scale ...

FocusCoE to support HPC Centres of Excellence for outreach to the broader European HPC community ...

Focus

University of Maribor and XENYA signed contract for an HPC system as part of the national research infrastructure project HPC - RIVR, readying Slovenia for EuroHPC participation ...

Exascale supercomputing

U.S. Department of Energy and Intel to deliver first exascale supercomputer ...

Argonne deepens the Department of Energy's footprint in high-impact computing ...

Crowd computing

NVIDIA announces Jetson Nano: $99 tiny, yet mighty NVIDIA CUDA-X AI computer that runs all AI models ...

Quantum computing

In a new quantum simulator, light behaves like a magnet ...

Long-distance quantum information exchange - success at the nanoscale ...

Middleware

NERSC and NVIDIA to partner on compiler development for Perlmutter system ...

Hardware

DDN to unveil transformative solutions for accelerating AI, analytics and Deep Learning at NVIDIA GTC 2019 ...

NVIDIA introduces new breed of high-performance workstations for millions of data scientists ...

Global computer companies announce NVIDIA-powered enterprise servers optimized for data science ...

Mellanox HDR 200G InfiniBand deep learning acceleration engines demonstrates two times higher performance for Artificial Intelligence (AI) platforms with NVIDIA ...

Altair OptiStruct runs up to 10x faster on NVIDIA GPUs ...

Pure Storage unveils NVIDIA-powered solutions for full spectrum of AI initiatives ...

Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs ...

Supermicro offers end-to-end portfolio of NVIDIA GPU systems ...

Applications

H5 Data Centers completes a High-Performance Compute (HPC) suite in partnership with Forced Physics Data Center Technology ...

Supercomputers to help supercharge ceramic matrix composite manufacturing ...

A surprising, cascading earthquake ...

Brain-inspired AI inspires insights about the brain and vice versa ...

Supercomputer simulations shed light on how liquid drops combine ...

Novel MD simulation sheds light on mystery of hydrated electron's structure ...

Kicking neural network automation into high gear ...

DOE extends University PPPL contract ...

The Cloud

NVIDIA teams with Amazon Web Services to bring AI to millions of connected devices ...