Coprocessors

Cubic Announces New GPU Powered Tactical Edge Server Solution

Retrieved on: 
Monday, December 2, 2019
Technology, Hardware, Data management, Consumer electronics, Computer architecture, Graphics hardware, GPGPU, Integrated circuits, Electronic engineering, Coprocessors, Graphics processing unit, Hardware acceleration, Nvidia

Cubic Corporation (NYSE: CUB) today announced its Cubic Mission Solutions (CMS) business division launched a highly rugged, small form factor graphics processing unit (GPU) module designed to enable artificial intelligence and high-performance analytics at the extreme tactical edge.

Key Points: 
  • Cubic Corporation (NYSE: CUB) today announced its Cubic Mission Solutions (CMS) business division launched a highly rugged, small form factor graphics processing unit (GPU) module designed to enable artificial intelligence and high-performance analytics at the extreme tactical edge.
  • Powered by dual NVIDIA GPUs, the M3-SE-GPU delivers class-leading performance in a low power, compact and easily transportable solution.
  • The new M3-SE-GPU module enables improved real-time intelligence at the edge, where and when it is needed most.
  • This modular approach delivers great flexibility, as users can easily add GPU capabilities based on mission requirements, without the need to replace existing server or compute hardware.

GBT Seeks to Develop New Microchip Architectures Aimed at Expanding AI Market Opportunities

Retrieved on: 
Monday, December 2, 2019
Technology, Integrated circuits, Articles, Hardware acceleration, Application-specific integrated circuits, Coprocessors, Emerging technologies, Graphics hardware, Microchip Technology, Artificial intelligence, Graphics processing unit

AI, for both mobile and fixed solutions, announced new microchip architectures aimed at expanding GBTs AI go-to-market strategy.

Key Points: 
  • AI, for both mobile and fixed solutions, announced new microchip architectures aimed at expanding GBTs AI go-to-market strategy.
  • The new architectures, now in development, are targeted to leverage world-class, on-chip AI technologies for the benefit of IC design houses.
  • The new architectures are various combinations of matrix, vector and scalar styles designed for AI GPU chips, which can be used in a wide variety of applications.
  • The new concepts will be based on the Company's recent filed patent, which seeks to protect 3D multi-planner microchip technologies.

NVIDIA Announces Upcoming Events for Financial Community

Retrieved on: 
Tuesday, November 19, 2019
Integrated circuits, Computer architecture, Graphics hardware, GPGPU, Electronic engineering, Coprocessors, Application-specific integrated circuits, Nvidia, Graphics processing unit, NVDA

SANTA CLARA, Calif., Nov. 19, 2019 (GLOBE NEWSWIRE) -- NVIDIA will present at the following events for the financial community:

Key Points: 
  • SANTA CLARA, Calif., Nov. 19, 2019 (GLOBE NEWSWIRE) -- NVIDIA will present at the following events for the financial community:
    Interested parties can listen to the live audio webcasts of NVIDIAs presentations at these events, available at investor.nvidia.com .
  • Replays of the webcasts will be available for 90 days afterward.
  • NVIDIA s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing.
  • More recently, GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.

Media Advisory: SMART Modular to Highlight Benefits of Persistent Memory use in Artificial Intelligence and Machine Learning Systems at SC19

Retrieved on: 
Tuesday, November 19, 2019
Integrated circuits, Computer architecture, Computing, Application-specific integrated circuits, Coprocessors, GPGPU, Graphics hardware, Graphics processing unit, Extract, transform, load, Data-intensive computing, NVDIMM, ETL

AI and ML technologies create highly demanding IO (input and output) and computational performance for GPU accelerated Extract, Transform, Load (ETL).

Key Points: 
  • AI and ML technologies create highly demanding IO (input and output) and computational performance for GPU accelerated Extract, Transform, Load (ETL).
  • The key challenge developers must overcome is to reduce the overall time to discovery and insight within data-intensive applications.
  • SMART will showcase its DDR4 NVDIMM solutions along with its entire line of specialty memory products for AI and ML applications.
  • SMART Modular is a subsidiary of SMART Global Holdings, Inc.
    See www.smartm.com for more information.

ServerFarm Joins NVIDIA DGX-Ready Data Center Program to Help Enterprises Deploy AI

Retrieved on: 
Tuesday, November 19, 2019
Computer architecture, Computing, Digital technology, GPGPU, Nvidia, Application-specific integrated circuits, Coprocessors, Graphics hardware, Volta, Graphics processing unit, Colocation centre, Nvidia DGX-1

LOS ANGELES, Nov. 19, 2019 /PRNewswire/ -- ServerFarm , the innovative data center developer and operator, has joined the NVIDIA DGX-Ready Data Center program , which connects service providers and enterprises with AI-ready facilities for smooth, quick, and cost-effective AI deployments.

Key Points: 
  • LOS ANGELES, Nov. 19, 2019 /PRNewswire/ -- ServerFarm , the innovative data center developer and operator, has joined the NVIDIA DGX-Ready Data Center program , which connects service providers and enterprises with AI-ready facilities for smooth, quick, and cost-effective AI deployments.
  • Developed to meet the demands of AI and analytics, NVIDIA DGX systems are built on the revolutionary NVIDIA Volta GPU architecture.
  • For those that don't, the NVIDIA DGX-Ready Data Center program leads the way to validated colocation partners with state-of-the-art facilities that are ideal for hosting DGX AI compute infrastructure.
  • "The NVIDIA DGX-Ready Data Center program makes deploying state-of-the-art AI infrastructure easier than ever," said Tony Paikeday, Director of Product Marketing for DGX Systems at NVIDIA.

ServerFarm Joins NVIDIA DGX-Ready Data Center Program to Help Enterprises Deploy AI

Retrieved on: 
Tuesday, November 19, 2019
Computer architecture, Computing, Digital technology, GPGPU, Nvidia, Application-specific integrated circuits, Coprocessors, Graphics hardware, Volta, Graphics processing unit, Colocation centre, Nvidia DGX-1

LOS ANGELES, Nov. 19, 2019 /PRNewswire/ -- ServerFarm , the innovative data center developer and operator, has joined the NVIDIA DGX-Ready Data Center program , which connects service providers and enterprises with AI-ready facilities for smooth, quick, and cost-effective AI deployments.

Key Points: 
  • LOS ANGELES, Nov. 19, 2019 /PRNewswire/ -- ServerFarm , the innovative data center developer and operator, has joined the NVIDIA DGX-Ready Data Center program , which connects service providers and enterprises with AI-ready facilities for smooth, quick, and cost-effective AI deployments.
  • Developed to meet the demands of AI and analytics, NVIDIA DGX systems are built on the revolutionary NVIDIA Volta GPU architecture.
  • For those that don't, the NVIDIA DGX-Ready Data Center program leads the way to validated colocation partners with state-of-the-art facilities that are ideal for hosting DGX AI compute infrastructure.
  • "The NVIDIA DGX-Ready Data Center program makes deploying state-of-the-art AI infrastructure easier than ever," said Tony Paikeday, Director of Product Marketing for DGX Systems at NVIDIA.

DDN Works with NVIDIA to Ease Deployment and Set New Boundaries in Performance for Data-Intensive AI and HPC

Retrieved on: 
Tuesday, November 19, 2019
Integrated circuits, Computer architecture, Graphics hardware, Electronic engineering, Coprocessors, GPGPU, Graphics processing unit, Hardware acceleration, Nvidia

The NVIDIA Magnum IO software suite increases performance and reduces latency to move massive amounts of data from storage to GPUs in minutes, rather than hours.

Key Points: 
  • The NVIDIA Magnum IO software suite increases performance and reduces latency to move massive amounts of data from storage to GPUs in minutes, rather than hours.
  • DDN testing has confirmed that, using the software's NVIDIA GPUDirect Storage feature, the most intensive workflows will see significant improvements and benefit AI and HPC application output directly.
  • DDN expects to support the full NVIDIA Magnum IO suite, including GPUDirect Storage, in an EXAScaler EXA5 release in the middle of 2020.
  • With these enhancements, the AI400X appliance could provide even better performance for AI and HPC applications.

NVIDIA Launches Magnum IO Software Suite to Help Eliminate Data Bottlenecks for Data Scientists and AI, HPC Researchers

Retrieved on: 
Monday, November 18, 2019
Integrated circuits, Computer architecture, Graphics hardware, Coprocessors, Electronic engineering, Application-specific integrated circuits, Nvidia, GPGPU, Graphics processing unit, Tegra

DENVER, Nov. 18, 2019 (GLOBE NEWSWIRE) -- SC19 -- NVIDIA today introduced NVIDIA Magnum IO , a suite of software to help data scientists and AI and high performance computing researchers process massive amounts of data in minutes, rather than hours.

Key Points: 
  • DENVER, Nov. 18, 2019 (GLOBE NEWSWIRE) -- SC19 -- NVIDIA today introduced NVIDIA Magnum IO , a suite of software to help data scientists and AI and high performance computing researchers process massive amounts of data in minutes, rather than hours.
  • Magnum IO delivers this by bringing NVIDIA GPU acceleration, which has revolutionized computing, to I/O and storage.
  • Now, AI researchers and data scientists can stop waiting on data and focus on doing their lifes work, he said.
  • NVIDIA Magnum IO software is available now, with the exception of GPUDirect Storage, which is currently available to select early-access customers.

Penguin Computing Upgrades Corona with latest AMD Radeon Instinct GPU Technology for Enhanced ML and AI Capabilities

Retrieved on: 
Monday, November 18, 2019
Computer architecture, Microprocessors, GPGPU, Integrated circuits, Coprocessors, Fabless semiconductor companies, Parallel computing, Video cards, Advanced Micro Devices, Radeon Instinct, FLOPS, Radeon

This upgrade is the latest example of Penguin Computing and LLNLs ongoing collaboration aimed at providing additional capabilities to the LLNL user community.

Key Points: 
  • This upgrade is the latest example of Penguin Computing and LLNLs ongoing collaboration aimed at providing additional capabilities to the LLNL user community.
  • Each Corona compute node is GPU-ready with half of those nodes today utilizing four AMD Radeon Instinct MI25 accelerators per node, delivering 4.2 petaFLOPS of FP32 peak performance.
  • Penguin Computing, Relion and FrostByte are trademarks or registered trademarks of Penguin Computing, Inc. Penguin Computing is a subsidiary of SMART Global Holdings Inc. , (NASDAQ: SGH)
    PCIe is a registered trademarkof PCI-SIG.
  • AMD, the AMD logo, EPYC, Infinity Fabric, Radeon Instinct, and combinations thereof are trademarks or registered trademarks of Advanced Micro Devices, Inc.

H3 Platform Unveils World 1st PCIe Gen4 GPU Chassis to Help Customers Address Evolving Data Center Demands

Retrieved on: 
Monday, November 18, 2019
Integrated circuits, Computer architecture, Computing, Graphics hardware, GPGPU, Coprocessors, Graphics processing unit, Hardware acceleration, PCI Express

With composability and utilization optimization capability, the new GPU box advances H3's vision for composable technology as the future of data center technology.

Key Points: 
  • With composability and utilization optimization capability, the new GPU box advances H3's vision for composable technology as the future of data center technology.
  • To ease management effort, Falcon 4016 provides a graphic user interface, H3 Center.
  • The H3 management center enables GPU provisioning as well as GPU chassis discovery, inventory, port configuration, diagnostics, monitoring, fault detection, utilization auditing, and performance.
  • Administrators can provision GPU, redeploy GPU and configure PCIe ports in just a few seconds without service interruptions.