Coprocessors

Xilinx Selects Mipsology Zebra Software to Accelerate Alveo U50 FPGA

Retrieved on: 
Wednesday, June 24, 2020

"The level of acceleration that Zebra brings to our Alveo cards puts CPU and GPU accelerators to shame," said Ramine Roane, Xilinx's Vice President of marketing.

Key Points: 
  • "The level of acceleration that Zebra brings to our Alveo cards puts CPU and GPU accelerators to shame," said Ramine Roane, Xilinx's Vice President of marketing.
  • "Combined with Zebra, Alveo U50 meets the flexibility and performance needs of AI workloads and offers high throughput and low latency performance advantages to any deployment."
  • "With the Alveo U50, Xilinx and Mipsology are providing AI application developers with a card that excels across multiple apps and in every development environment."
  • Its flagship software platform, Zebra, is the first technology to accelerate the computations of inference for neural networks on FPGA and conceal the hardware to AI users.

OSS Introduces World’s First PCIe Gen 4 Expansion System for NVIDIA A100 PCIe GPUs

Retrieved on: 
Monday, June 22, 2020

The OSS 4UV allows system developers to scale out almost any Gen 4 server by adding up to eight NVIDIA A100 GPUs.

Key Points: 
  • The OSS 4UV allows system developers to scale out almost any Gen 4 server by adding up to eight NVIDIA A100 GPUs.
  • For AI inference on INT4 sparse neural networks, the system can achieve peak computing operations of up to 19.9 PetaOPS.
  • The A100 GPUs can be interconnected via third-generation NVlink that offers 600GB/sec of GPU-to-GPU interconnect.
  • While the OSS 4UV can connect almost any Gen 4 server to eight A100 PCIe GPUs and two NICs, OSS also offers a complete NVIDIA GPU cloud-ready solution with the OSS 4UV pre-installed in an OSS 2U-EOS-4a Gen 4 server.

intoPIX Releases The FastTICO-XS SDK v1.2.4 For Nvidia GPU, Setting the Stage for Ultra-low-latency JPEG-XS Video Encoding and Decoding of Real-time HD, 4K and 8K Workflows

Retrieved on: 
Monday, June 22, 2020

More for latency-critical video applications:

Key Points: 
  • More for latency-critical video applications:
    Since 4K and 8K video formats are rapidly gaining ground in the broadcast and AV markets, the FastTICO-XS GPU SDK becomes an essential tool in completing a seamless end-to-end workflow.
  • intoPIX offers solutions ensuring sub-frame latency, with bandwidth ranging between 100Mbps to 400Mbps in HD; 500Mbps to 1.6Gps for 4K, and 1Gbps to 4Gbps for 8K.
  • Our implementation is highly parallelized and performs real-time JPEG-XS encoding and decoding of single or multiple HD and 4K video streams.
  • This way, the system consumes less GPU processing power, hence enabling more video stream to be decoded simultaneously in the GPU.

Supermicro Boosts Performance Up to 20x on Data Science, HPC and AI Workloads with Support for NVIDIA A100 PCIe GPUs on Over a Dozen Different GPU Servers

Retrieved on: 
Monday, June 22, 2020

Supermicro first announced support for NVIDIA HGX A100 configurations in May with its new high-density 2U and 4U servers based on the four- and eight-way NVIDIA HGX A100 boards.

Key Points: 
  • Supermicro first announced support for NVIDIA HGX A100 configurations in May with its new high-density 2U and 4U servers based on the four- and eight-way NVIDIA HGX A100 boards.
  • With A100 GPUs now also available in PCIe form factor, customers can expect a major performance boost across Supermicro's extensive portfolio of multi-GPU servers when they are equipped with the new NVIDIA A100 GPUs.
  • "Designed to accelerate a vast range of compute-intensive applications, our new systems with PCIe Gen 4 deliver fully optimized support for the new NVIDIA A100 to boost performance up to 20x on some accelerated workloads."
  • "NVIDIA A100 PCIe GPU servers allow customers to tackle some of the most complex data science, high performance computing and AI challenges."

World’s Top System Makers Unveil NVIDIA A100-Powered Servers to Accelerate AI, Data Science and Scientific Computing

Retrieved on: 
Monday, June 22, 2020

Adoption of NVIDIA A100 GPUs into leading server manufacturers offerings is outpacing anything weve previously seen, said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA.

Key Points: 
  • Adoption of NVIDIA A100 GPUs into leading server manufacturers offerings is outpacing anything weve previously seen, said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA.
  • The sheer breadth of NVIDIA A100 servers coming from our partners ensures that customers can choose the very best options to accelerate their data centers for high utilization and low total cost of ownership.
  • Cisco plans to support NVIDIA A100 Tensor Core GPUs in its Cisco Unified Computing System servers and in its hyperconverged infrastructure system, Cisco HyperFlex.
  • These powerful software tools enable developers to build and accelerate applications in HPC, genomics, 5G, data science, robotics and more.

Herta Awarded the Highly Competitive "COVID-19 Response Seal of Excellence" From the European Commission

Retrieved on: 
Wednesday, June 17, 2020

BARCELONA, Spain, June 17, 2020 /PRNewswire/ --In May 2020, Herta was awarded with the COVID-19 Seal of Excellence certificate delivered by the European Commission (EC) for the project AWARE.

Key Points: 
  • BARCELONA, Spain, June 17, 2020 /PRNewswire/ --In May 2020, Herta was awarded with the COVID-19 Seal of Excellence certificate delivered by the European Commission (EC) for the project AWARE.
  • AWARE was sent for evaluation to the European Innovation Council (EIC) Accelerator Pilot.
  • Highly innovative SMEs with a clear commercial ambition and a potential for high growth and internationalization are the prime target.
  • Part of the computing pipeline is executed on-premise, on low-power and small-size edge stations using Deep Neural Network accelerator hardware.

Burden of COVID-19 on the Market & Rehabilitation Plan | Graphics Processing Unit (GPU) Market 2020-2024 | Demand for High Memory GPU to Boost Growth | Technavio

Retrieved on: 
Monday, June 15, 2020

The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.

Key Points: 
  • The report offers an up-to-date analysis regarding the current market scenario, latest trends and drivers, and the overall market environment.
  • While a few industries will register a drop in demand, numerous others will continue to remain unscathed and show promising growth opportunities.
  • Demand for high memory GPU has been instrumental in driving the growth of the market.
  • https://www.technavio.com/report/report/graphics-processing-unit-market-...
    Graphics Processing Unit (GPU) Market 2020-2024: Segmentation
    Graphics Processing Unit (GPU) Market is segmented as below:

New AMD Radeon™ Pro 5600M Mobile GPU Brings Desktop-Class Graphics Performance and Enhanced Power Efficiency to 16-inch MacBook Pro for Users On-the-Go

Retrieved on: 
Monday, June 15, 2020

SANTA CLARA, Calif., June 15, 2020 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today announced availability of the new AMD Radeon Pro 5600M mobile GPU for the 16-inch MacBook Pro .

Key Points: 
  • SANTA CLARA, Calif., June 15, 2020 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today announced availability of the new AMD Radeon Pro 5600M mobile GPU for the 16-inch MacBook Pro .
  • With 40 compute units and 8GB of ultra-fast, low-power High Bandwidth Memory (HBM2), the AMD Radeon Pro 5600M GPU delivers superfast performance and excellent power efficiency in a single GPU package.
  • With AMD RDNA architecture, the AMD Radeon Pro 5600M GPU offers the optimal combination of compute horsepower and power efficiency, providing an outstanding mobile graphics solution to power a wide range of demanding workloads on-the-go.
  • Key capabilities and features of the AMD Radeon Pro 5600M GPU include:
    Exceptional compute performance Equipped with 40 compute units, the AMD Radeon Pro 5600M GPU delivers up to 5.3 TFLOPS of single-precision (FP32) floating point performance.

OSS Orders for New U.S. Navy AI Threat Detection System Top $1.0 Million

Retrieved on: 
Monday, June 15, 2020

ESCONDIDO, Calif. , June 15, 2020 (GLOBE NEWSWIRE) -- One Stop Systems, Inc. (Nasdaq: OSS), a leader in specialized high-performance edge computing, has received more than $1.0 million in prototype orders for a military airborne AI threat detection system from a U.S. Navy prime contractor.

Key Points: 
  • ESCONDIDO, Calif. , June 15, 2020 (GLOBE NEWSWIRE) -- One Stop Systems, Inc. (Nasdaq: OSS), a leader in specialized high-performance edge computing, has received more than $1.0 million in prototype orders for a military airborne AI threat detection system from a U.S. Navy prime contractor.
  • The new OSS AI on the Fly system consists of a custom all-in-one rugged server using Gen 4 PCIe interconnect and NVMe storage, and powered by the latest GPU accelerators.
  • The system has been designed for U.S. Navy P3 and P8-A aircraft to detect and identify enemy threats using AI algorithms, allowing the aircraft crew to take action in real time.
  • By creating an AI-powered data center in the sky, this project represents a quantum leap in threat detection systems for P3 and P8-A Navy surveillance aircraft, commented Jim Ison, OSS chief sales and marketing officer.

Mercury Takes High-Performance Graphics Processing to the Edge

Retrieved on: 
Thursday, June 11, 2020

As part of our commitment to Innovation That Matters, were leveraging NVIDIA GPU technology to embed the latest parallel processing capabilities into ruggedized solutions and bring supercomputing closer to the edge.

Key Points: 
  • As part of our commitment to Innovation That Matters, were leveraging NVIDIA GPU technology to embed the latest parallel processing capabilities into ruggedized solutions and bring supercomputing closer to the edge.
  • Mercury Systems is doing great work in harnessing the power of NVIDIA GPUs in their solutions, said Anthony Robbins, Vice President of Federal at NVIDIA.
  • The rapid advancements made in parallel processing and HPC have had a significant impact on the ways that companies like Mercury are applying AI to solve real-world problems across all industries.
  • Mercury Systems and Innovation That Matters are registered trademarks and EnsembleSeries is a trademark of Mercury Systems, Inc. NVIDIA, Quadro, Turing and NVLink are trademarks of NVIDIA.