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Test Code : HP0-Y47
Test title : Deploying HP FlexNetwork Core Technologies
Vendor title : HP
real questions : 55 real Questions

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Deploying HP FlexNetwork Core Technologies exam

NVIDIA Introduces New Breed of high-performance Workstations for millions of information Scientists | HP0-Y47 real Questions and VCE exercise Test

SAN JOSE, Mar 18, 2019 (GLOBE NEWSWIRE by means of COMTEX) -- GPU technology conference -- NVIDIA has teamed with the world's leading OEMs and gadget builders to carry effectual new workstations designed to assist hundreds of thousands of facts scientists, analysts and engineers manufacture stronger commerce predictions faster and develop into extra productive.

aim-developed for information analytics, laptop discovering and profound learning, the methods supply the vehement computational vigour and tools required to do together, process and resolve the vast amounts of facts utilized in fields such as finance, coverage, retail and expert functions.

NVIDIA-powered workstations for facts science are in keeping with an impressive reference structure made of dual, high-conclusion NVIDIA Quadro RTX(TM) GPUs and NVIDIA CUDA-X AI(TM) accelerated information science application, such as RAPIDS(TM), TensorFlow, PyTorch and Caffe. CUDA-X AI is a collection of libraries that allow modern computing applications to profit from NVIDIA's GPU-accelerated computing platform.

"statistics science is without doubt one of the quickest transforming into fields of laptop science and affects every industry. enterprises are desperate to free up the cost of their commerce facts using computer gaining lore of and are hiring at an extraordinary expense data scientists who require potent workstations architected certainly for his or her wants," pointed out Jensen Huang, founder and CEO of NVIDIA. "With their partners, they are introducing NVIDIA-powered records science workstations -- made feasible by their new Turing Tensor Core GPUs and CUDA-X AI acceleration libraries -- that permit facts scientists to strengthen predictive models that can revolutionize their business."

NVIDIA GPU-Accelerated records Science computer

facts science complications involve information on a enormous scale and require significant-scale processing capabilities. NVIDIA-powered information science workstations manufacture it effortless for scientists to wrangle, prep, coach and install models straight away and precisely. points and advantages consist of:

-- dual, high-end Quadro RTX GPUs -- Powered with the aid of the latest NVIDIA Turing(TM) GPU architecture and designed for commercial enterprise deployment, twin Quadro RTX(TM) 8000 and 6000 GPUs deliver up to 260 teraflops of compute performance and 96GB of remembrance the exercise of NVIDIA NVLink(R) interconnect technology. Quadro RTX-powered information science workstations supply the potential and bandwidth to deal with the largest datasets and compute-intensive workloads as smartly because the pics power required for 3D visualization of huge datasets, including VR.

-- records science utility stack -- developed on the Linux working gadget and Docker containers: <ul type="circle"><p>-- NVIDIA CUDA-X AI -- a collection of NVIDIA's GPU acceleration libraries to quicken up profound learning, computing device getting to know and data evaluation. CUDA-X AI comprises cuDNN for accelerating profound getting to know primitives, cuML for accelerating machine getting to know algorithms, TensorRT(TM) for optimizing educated models for inference and over 15 other libraries. together they toil seamlessly with NVIDIA Tensor Core GPUs to accelerate the end-to-conclusion workflows for constructing and deploying AI-primarily based applications. CUDA-X AI will moreover be built-in into profound researching frameworks, including TensorFlow, PyTorch and MXNet, and leading cloud systems, together with AWS, Microsoft Azure and Google Cloud.

-- NVIDIA CUDA-X AI -- a collection of NVIDIA's GPU acceleration libraries to accelerate profound getting to know, computer studying and records evaluation. CUDA-X AI contains cuDNN for accelerating profound studying primitives, cuML for accelerating computer discovering algorithms, TensorRT(TM) for optimizing informed models for inference and over 15 different libraries. collectively they toil seamlessly with NVIDIA Tensor Core GPUs to accelerate the end-to-end workflows for constructing and deploying AI-based mostly purposes. CUDA-X AI may moreover be integrated into profound studying frameworks, including TensorFlow, PyTorch and MXNet, and leading cloud structures, together with AWS, Microsoft Azure and Google Cloud.

-- NVIDIA RAPIDS -- a set of GPU-accelerated libraries analytics for records education, customary machine learning and graph analytics.

-- Anaconda(TM) Distribution -- With Anaconda, Inc., NVIDIA is presenting Anaconda Distribution, an resourceful manner for facts scientists to operate Python/R, information science, AI and machine learning.

-- enterprise ready -- confirmed and optimized at the side of workstation manufacturers to fulfill the wants of mission-important commercial enterprise deployments.

-- optional utility assist -- presents peace of reason with NVIDIA-developed utility and containers, together with profound researching and computer researching frameworks.

through freeing information scientists to toil in the community, NVIDIA-powered statistics science workstations are the most useful complement to NVIDIA's data science portfolio.

"The NVIDIA-powered statistics science computing device permits their facts scientists to sprint conclusion-to-end records processing pipelines on colossal datasets sooner than ever," renowned Mike Koelemay, chief data scientist at Lockheed Martin Rotary & Mission systems. "Leveraging RAPIDS to thrust greater of the data processing pipeline to the GPU reduces model construction time, which results in quicker deployment and enterprise insights."

huge Ecosystem assist and Adoption

NVIDIA-powered statistics Science Workstations champion OEMs and leading statistics science application suppliers meet the transforming into claim for GPU-accelerated facts science capabilities and offer potent new options to purchasers conducting AI-based exploration.

examine what companions and purchasers, comparable to BlazingDB, BOXX, charter Communications, Datalogue, Dell, Graphistry,, HP, Kinetica, Lenovo, MapR, MIT and OmniSci, amongst others, are announcing.


NVIDIA-powered methods for information scientists are available automatically from world computer providers equivalent to Dell, HP and Lenovo and regional device builders, together with AMAX, APY, Azken Muga, BOXX, CADNetwork, Carri, Colfax, Delta, EXXACT, Microway, Scan, Sysgen and Thinkmate.


NVIDIA's NVDA, -three.seventy five% invention of the GPU in 1999 sparked the boom of the pc gaming market, redefined modern desktop pix and revolutionized parallel computing. greater currently, GPU profound gaining lore of ignited concurrent AI -- the subsequent era of computing -- with the GPU acting because the reason of computer systems, robots and self-using automobiles that can understand and seize into account the realm. greater counsel at

For extra assistance, contact:

Gail Laguna

Sr. PR manager, expert Visualization

NVIDIA agency


definite statements in this press free up together with, however not limited to, statements as to: global programs builders and OEMs teaming with NVIDIA and integrating NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI; the advantages, influence, efficiency, capabilities and features of NVIDIA GPU-accelerated statistics science workstations, NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI; CUDA-X AI enabling modern computing applications to profit from NVIDIA's GPU-accelerated computing platform; companies being wanting to unencumber the advantages of computer researching and analytics and hiring information scientists at an unheard of expense; NVIDIA GPU-accelerated records science workstations providing companies with the processing power to construct their personal machine studying fashions and providing an well-known raise in AI acceleration enabling records scientists to interpret and manage information, solve complicated complications and supply beneficial, actionable insights; NVIDIA-powered records science workstations making it convenient for scientists to manufacture exercise of models straight away and accurately; NVIDIA-powered records science workstations being the gold gauge complement to NVIDIA's data science portfolio; NVIDIA-powered information science computer enabling records scientists to sprint end-to-end facts processing pipelines on colossal datasets sooner than ever and leveraging RAPIDS, resulting in quicker deployment and commerce insights; NVIDIA-powered records science workstations helping OEMs and statistics science utility suppliers deliver effectual new alternate options to shoppers; and the provision of NVIDIA-powered systems for records scientists are forward-searching statements that are discipline to dangers and uncertainties that may understanding effects to be materially distinctive than expectations. well-known components that could understanding actual consequences to differ materially include: world economic conditions; their reliance on third parties to manufacture, collect, package and test their items; the repercussion of technological construction and competition; development of recent products and technologies or enhancements to their latest product and technologies; market acceptance of their products or their companions' items; design, manufacturing or utility defects; changes in consumer preferences or demands; adjustments in commerce requisites and interfaces; surprising need of performance of their products or applied sciences when built-in into systems; as well as different elements specific once in a while in the most recent experiences NVIDIA information with the Securities and alternate commission, or SEC, including, but now not limited to, its annual report on kindhearted 10-k and quarterly reports on form 10-Q. Copies of reports filed with the SEC are posted on the business's web site and can be found from NVIDIA for free of charge. These ahead-looking statements aren't guarantees of future efficiency and speak handiest as of the date hereof, and, except as required with the aid of legislations, NVIDIA disclaims any responsibility to update these ahead-looking statements to mirror future hobbies or circumstances.

(C) 2019 NVIDIA organization. everybitof rights reserved. NVIDIA, the NVIDIA brand, CUDA-X, NVIDIA Turing, NVLink, Quadro RTX, RAPIDS and TensorRT are logos and/or registered trademarks of NVIDIA agency within the U.S. and different nations. other enterprise and product names may well be logos of the respective businesses with which they are associated. elements, pricing, availability and standards are discipline to exchange without word.

a photo accompanying this announcement is accessible at

(C) Copyright 2019 GlobeNewswire, Inc. everybitof rights reserved.

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