Parallel computing

Core Scientific Achieves AWS High Performance Computing Competency Status

Retrieved on:

Monday, March 1, 2021

Concurrent computing, Computing, Distributed computing architecture, Cluster computing, Cloud infrastructure, Parallel computing, Amazon Web Services, Web hosting, Competence, Supercomputer

BELLEVUE, Wash., March 1, 2021 /PRNewswire/ -- Core Scientific , a leading infrastructure and software solutions provider for artificial intelligence and blockchain that is led by CEO Kevin Turner, the former COO of Microsoft, announced today that it has achieved Amazon Web Services (AWS) High Performance Computing (HPC) Competency status.

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BELLEVUE, Wash., March 1, 2021 /PRNewswire/ -- Core Scientific , a leading infrastructure and software solutions provider for artificial intelligence and blockchain that is led by CEO Kevin Turner, the former COO of Microsoft, announced today that it has achieved Amazon Web Services (AWS) High Performance Computing (HPC) Competency status.
Achieving the AWS HPC Competency differentiates Core Scientific as an AWS Partner with deep domain expertise in one or more of the following categories: Application, HPC Management, and Foundational Technology.
"Core Scientific is humbled to be one of the first AWS Partners to achieve AWS HPC Competency status," said Ian Ferreira, Core Scientific Chief Product Officer of Artificial Intelligence.
By combining the Core Scientific Plexus HPC-Ops software stack with AWS HPC infrastructure, customers can seamlessly run very large parallel workloads."

Pliops Closes $65M Funding Round to Skyrocket Data Center Efficiency, Starts Countdown to Product Launch

Computing, Concurrent computing, Technology, Application-specific integrated circuits, Graphics hardware, Parallel computing, Fabless semiconductor companies, Data management, Graphics processing unit, Data-intensive computing, Nvidia, Cloud computing

The investment will be used to bring the new levels of scale, speed and cost effectiveness promised by Pliops storage processor to more customers in more ways.

Key Points:

The investment will be used to bring the new levels of scale, speed and cost effectiveness promised by Pliops storage processor to more customers in more ways.
Through its storage processor, Pliops substantially accelerates the processing of data-intensive applications in data centers.
Combining NVIDIA data center GPU and DPU product lines with Pliops storage processor for accelerated cloud and machine learning solutions will provide exceptional performance and efficiency for our customers.
With data storage and the computational requirements for processing that data growing at an exponential rate, status quo approaches fall short.

Pliops Closes $65M Funding Round to Skyrocket Data Center Efficiency, Starts Countdown to Product Launch

The investment will be used to bring the new levels of scale, speed and cost effectiveness promised by Pliops storage processor to more customers in more ways.

Key Points:

The investment will be used to bring the new levels of scale, speed and cost effectiveness promised by Pliops storage processor to more customers in more ways.
Through its storage processor, Pliops substantially accelerates the processing of data-intensive applications in data centers.
Combining NVIDIA data center GPU and DPU product lines with Pliops storage processor for accelerated cloud and machine learning solutions will provide exceptional performance and efficiency for our customers.
With data storage and the computational requirements for processing that data growing at an exponential rate, status quo approaches fall short.

SiPearl and Open-Silicon Research Collaborate to Accelerate Custom Silicon for High Performance Computing (HPC) Applications

Retrieved on:

Tuesday, February 23, 2021

We are confident that this partnership will enable vast opportunities to develop new HPC applications with our mutual customers.

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We are confident that this partnership will enable vast opportunities to develop new HPC applications with our mutual customers.
This new generation of microprocessors will enable Europe to set out its technological sovereignty on the strategic markets for high performance computing, artificial intelligence and connected mobility.
OpenFive offers end-to-end expertise in architecture, design implementation, software, silicon validation and manufacturing to deliver high-quality silicon in advanced nodes down to 5nm.
1 This project has received funding from the European Union's Horizon 2020 research and innovation programme under specific grant agreement no.826647.

Global Supercomputer Market Outlook to 2025 - High Demand from Government Sector Owing to National Security Concerns - ResearchAndMarkets.com

Retrieved on:

Tuesday, February 16, 2021

Technology, Hardware, Companies, Computing, Technology, Fabless semiconductor companies, Cluster computing, Concurrent computing, Distributed computing architecture, Parallel computing, Supercomputer, NEC, Lenovo, Dell

This study identifies the increasing utilization of big data analytics as one of the prime reasons driving the supercomputer market growth during the next few years.

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This study identifies the increasing utilization of big data analytics as one of the prime reasons driving the supercomputer market growth during the next few years.
The report on the supercomputer market covers the following areas:
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading supercomputer market vendors that include Atos SE, Dawning Information Industry Co. Ltd., Dell Technologies Inc., Fujitsu Ltd., Hewlett Packard Enterprise Co., Huawei Investment & Holding Co. Ltd., International Business Machines Corp., Lenovo Group Ltd., NEC Corp., and NVIDIA Corp. Also, the supercomputer market analysis report includes information on upcoming trends and challenges that will influence market growth.
This is to help companies strategize and leverage on all forthcoming growth opportunities.

Soda Empowers Data Engineers with Soda SQL Tools for Data Testing and Monitoring

Retrieved on:

Tuesday, February 9, 2021

Data-intensive computing, Parallel computing, Technology

BRUSSELS, Feb. 9, 2021 /PRNewswire/ -- Soda announced today the launch of Soda SQL to bring data testing, monitoring and profiling to SQL accessible data.

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BRUSSELS, Feb. 9, 2021 /PRNewswire/ -- Soda announced today the launch of Soda SQL to bring data testing, monitoring and profiling to SQL accessible data.
Soda SQL is the first part of Soda's strategy to provide freely available open source data management tools to engineers working in data-intensive environments where data quality is paramount.
"By providing highly configurable and open source SQL data testing capabilities, Soda is taking the first step towards empowering data engineers with the right tools to meet these challenges."
Our open source testing projects and monitoring platform brings together data engineers, operations and the business to create trusted data.

Soda Empowers Data Engineers with Soda SQL Tools for Data Testing and Monitoring

Retrieved on:

Tuesday, February 9, 2021

Database management systems, Data-intensive computing, Parallel computing, Computing, Technology, Data management, Microsoft Visual Studio, Relational database management systems

- Soda SQL delivers open source data testing, monitoring and profiling capabilities for data-intensive environments

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- Soda SQL delivers open source data testing, monitoring and profiling capabilities for data-intensive environments
BRUSSELS, Feb. 9, 2021 /PRNewswire/ -- Soda announced today the launch of Soda SQL to bring data testing, monitoring and profiling to SQL accessible data.
Soda SQL is the first part of Soda's strategy to provide freely available open source data management tools to engineers working in data-intensive environments where data quality is paramount.
"By providing highly configurable and open source SQL data testing capabilities, Soda is taking the first step towards empowering data engineers with the right tools to meet these challenges."
Our open source testing projects and monitoring platform brings together data engineers, operations and the business to create trusted data.

Bright Computing Achieves Record Revenues & Bookings In 2020 Despite Pandemic

Retrieved on:

Thursday, February 4, 2021

Concurrent computing, Computing, Cluster computing, Distributed computing architecture, Cloud infrastructure, Parallel computing, Cloud computing, Bright Computing, Distributed computing, Supercomputer, Penguin Computing

SAN JOSE, Calif., Feb. 4, 2021 /PRNewswire-PRWeb/ -- Bright Computing, a global leader in automation and management software for edge-to-core-to-cloud high-performance computing, today announced record revenues and milestones achieved in 2020 despite the on-going challenges presented by the global pandemic.

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SAN JOSE, Calif., Feb. 4, 2021 /PRNewswire-PRWeb/ -- Bright Computing, a global leader in automation and management software for edge-to-core-to-cloud high-performance computing, today announced record revenues and milestones achieved in 2020 despite the on-going challenges presented by the global pandemic.
Bright Computing is at the forefront of next-generation computing infrastructure with the only commercial enterprise-grade software for building and managing distributed clusters for AI and Edge-to-Core-to-Cloud high-performance computing.
To find out more about Bright Computing and our latest customers, please email [email protected]
Bright Computing software helps organizations manage complex, distributed computing environments that combine on-premises systems with public cloud and edge computing to unlock the potential of real-time machine learning for their business.
Designed with platform independence in mind, Bright Computing's automation software supports modern GPU-accelerated systems and reduced-power Arm-based architectures in conjunction with traditional x86-based systems, maximizing flexibility and eliminating complexity.

How Medical Technology Companies are Taking Full Advantage of Artificial Intelligence (AI) In Healthcare

Retrieved on:

Tuesday, February 2, 2021

Articles, Technology, Science and technology, Cluster computing, Distributed computing architecture, Parallel computing, Artificial intelligence, Computational neuroscience, Nvidia, NVDA, Supercomputer

As both technologies continue to mature, they are increasingly being included together in healthcare leader's decision-making.

Key Points:

As both technologies continue to mature, they are increasingly being included together in healthcare leader's decision-making.
As a result, more healthcare businesses involved in AI have started to realise the benefits of edge computing.
"Artificial intelligence presents a variety of novel opportunities for extracting clinically actionable information from existing electrophysiological signals that might otherwise be inaccessible.
With NVIDIA Corporation (NASDAQ: NVDA), healthcare institutions can harness the power of artificial intelligence and high-performance computing (HPC) to define the future of medicine.

How Medical Technology Companies are Taking Full Advantage of Artificial Intelligence (AI) In Healthcare

Retrieved on:

Tuesday, February 2, 2021

As both technologies continue to mature, they are increasingly being included together in healthcare leader's decision-making.

Key Points:

As both technologies continue to mature, they are increasingly being included together in healthcare leader's decision-making.
As a result, more healthcare businesses involved in AI have started to realise the benefits of edge computing.
"Artificial intelligence presents a variety of novel opportunities for extracting clinically actionable information from existing electrophysiological signals that might otherwise be inaccessible.
With NVIDIA Corporation (NASDAQ: NVDA), healthcare institutions can harness the power of artificial intelligence and high-performance computing (HPC) to define the future of medicine.