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Tag: Cloud computing

What is Edge Computing?

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/What is Edge Computing?

The development of edge computing technology has revolutionized the way we think about data processing and storage. With the growing demand for faster and more efficient access to data and applications, edge computing has emerged as a savior of sorts. In this article, we will explore the concept of this technology in the context of servers, including its definition, history and applications. We will also discuss the features, advantages and disadvantages of this solution in servers and the latest trends and technologies in this field.

Edge Computing. What is it?

Edge computing is a distributed processing model that brings data processing and storage closer to where it is needed to reduce latency and increase efficiency. This concept was first introduced in 2014 and has since gained popularity due to the growth of the Internet of Things (IoT) and the need for real-time data processing.

History behind it

Its origins can be traced to the concept of distributed computing, which dates back to the 1970s. However, the specific term "edge computing" was coined in 2014 by Cisco, which recognized the need for a new computing model to handle the growing number of IoT devices.

How does it work?

Edge computing involves deploying small low-powered computers, known as edge devices, at the edge of the network, closer to where the data is generated. These edge devices process and store data locally, and send only the most relevant data to the cloud for further processing and storage. This reduces the amount of data that must be sent to the cloud, thereby reducing latency and improving response time.

Edge computing in the context of servers

Edge computing is increasingly being applied to servers, especially in the context of edge data centers. Edge data centers are smaller data centers that are located closer to end users to provide faster access to data and applications. By deploying edge servers in these locations, enterprises can improve the performance of their applications and reduce latency.

Server aiming features

Edge computing in servers offers a number of key features, including:

  • Low latency – processing data locally, edge servers can provide users with real-time responses.
  • Scalability – edge servers can be easily scaled up or down as needed, allowing companies to respond quickly to changes in demand.
  • Safety – by processing data locally, edge computing helps improve data security and privacy, as sensitive data does not need to be transmitted over the network.
  • Cost effectiveness – by reducing the amount of data that must be sent to the cloud, edge computing can help reduce the cost of cloud storage and processing.

Advantages of edge computing in servers

Edge computing in servers offers a number of benefits to enterprises, including:

  • Improving performance – By reducing latency and improving response time, edge computing can help companies deliver faster and more responsive applications.
  • Improved reliability – Processing data locally, edge servers can help ensure that applications remain operational even if connectivity to the cloud is lost.
  • Greater flexibility – By deploying edge servers, companies can choose to process data locally or in the cloud, depending on their specific needs.
  • Enhanced security – By processing data locally, edge computing can help improve data security and privacy.

Disadvantages of edge computing in servers

While edge computing in servers offers many benefits, there are also some potential drawbacks to consider. These include:

  • Increased complexity – Deploying edge servers requires careful planning and management, and can add complexity to the overall IT infrastructure.
  • Higher costs – Deploying edge computing can be more expensive than relying solely on cloud infrastructure, due to the need to purchase and maintain additional hardware.
  • Limited processing power – Edge servers may have limited processing power compared to cloud servers, which may affect their ability to handle large amounts of data.

Summary

Edge computing is a powerful technology that can help businesses improve the performance, reliability and security of their applications. By deploying edge servers, companies can enjoy the benefits of edge computing while taking advantage of the scalability and cost-effectiveness of cloud computing. However, it is important to carefully consider the potential advantages and disadvantages of edge computing before deciding to implement it.

Servers and Data Centers

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/Servers and Data Centers

Data centers and servers are the backbone of today's digital world. They store, process and transmit huge amounts of data every day, enabling us to access information, communicate with others and conduct business online. In this article, we will outline the importance of data centers and servers, how they operate, and the challenges and trends shaping their future.

What is a data center?

A data center is a facility used to store computer systems and related components, such as telecommunications and storage systems. Data centers are designed to provide high levels of availability, security and reliability to ensure that stored and processed data is always available and protected.

They come in a variety of sizes, from small server rooms to large corporate facilities that can cover hundreds of square meters. Some data centers are owned and operated by individual organizations, while others are operated by third-party service providers and offer hosting services to multiple customers.

How do the servers work?

Servers are the backbone of data centers, providing the computing power needed to process and store data. A server is a computer system that is designed to provide specific services or resources to other computers or devices connected to a network.

Servers can perform many functions, such as hosting websites, running applications and storing and processing data. A server can be a physical machine or a virtual machine that runs on top of a physical machine. Virtualization technology allows multiple virtual servers to run on a single physical machine, allowing organizations to maximize computing resources and reduce costs.

Challenges and trends

As the demand for digital services continues to grow, data centers and servers face several challenges and trends that will shape their future.

  • One of the primary challenges is the need for greater energy efficiency. Data centers consume huge amounts of energy, and as the number of data centers grows, so does their environmental impact. To meet this challenge, data centers are adopting more energy-efficient technologies, such as advanced cooling systems, and using renewable energy sources such as solar and wind power.
  • Another challenge is the need for greater security. Data breaches can have serious consequences, both for organizations and individuals. Data centers are implementing more stringent security measures, such as multi-factor authentication and encryption, to protect against cyber attacks.
  • In terms of trends, "edge processing" is becoming an important trend in data center and server architecture. It involves processing data closer to the source, reducing latency and improving performance. This is especially important for applications requiring real-time data processing, such as autonomous vehicles and industrial automation.

Summary

Data centers and servers are essential components of the digital infrastructure that supports our modern world. They enable us to access and store vast amounts of information, and provide the computing power needed for critical applications and services. As the demand for digital services continues to grow, data centers and servers will face ongoing challenges and trends that will shape their future. By adopting innovative technologies and strategies, data centers and servers can continue to evolve and meet the needs of our rapidly changing digital world.

Supermicro Ultra SuperServer

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/Supermicro Ultra SuperServer

Supermicro Ultra SuperServer® is Supermicro’s 11th generation high performance general purpose server. The Ultra is designed to provide the highest performance, flexibility, scalability and serviceability in demanding IT environments, as well as to power critical corporate workloads.

Unmatched performance: support for two 2nd Generation Intel® Xeon® Scalable processors with up to 28 cores per socket and up to 6TB of ECC DDR4 memory in 24 DIMM slots with Intel® Optane “¢ DCPMM support, the Ultra is designed to support demanding and complex loads. The Ultra is available in NVMe all-flash configurations where users can benefit from reduced latency and increased IOP. With NVMe, it is possible to increase storage latency up to 7x and increase throughput by up to 6x.1 The ROI benefits of NVMe deployments are immediate and significant.

Exceptional flexibility: discover the freedom to adapt to different loads with the versatile Supermicro Ultra system. Improve your server environment with the perfect combination of computing power, memory and storage performance, network flexibility and serviceability. This highly scalable system provides excellent expansion and storage options thanks to our patented vertical system. With support for multiple PCIe add-on cards, the Ultra Future protects your business against ever-changing computation and storage. This Ultra server is designed to handle any workload in any number of demanding environments.

Continuous reliability and serviceability: Achieve higher levels of high availability and data storage with the latest Intel® Xeon® Scalable processors, ECC DDR4 memory modules, NVMe-enabled disk bays, and energy-efficient redundant power supplies. Designed from the ground up as an enterprise class, the Ultra is fully equipped with energy-efficient components and built-in redundancy.

Supermicro Ultra Servers are designed to give the greatest possible power, flexibility and scalability. It is a great choice to meet the most demanding operations in Enterprise, Data Center and Cloud Computing environments.

NVIDIA hits BIG in the Data Center market

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/NVIDIA hits BIG in the Data Center market

Nvidia is a company known for producing high-performance graphics cards and gaming hardware, but the company is also making waves in the data center space with its Nvidia Data Center platform. The platform offers a set of hardware and software products designed to accelerate data center workloads, from machine learning and AI to scientific computing and virtual desktop infrastructure.

NVIDIA'S Hardware

At the heart of the Nvidia Data Center platform is a line of data center GPUs, including the H100, A100, V100 and T4. These chips are optimized to accelerate a wide range of workloads, from training deep learning models to running virtual desktops. They offer high levels of parallelism and performance, and are designed to be scalable and meet the needs of large data centers. In addition to GPUs, Nvidia also offers a range of data center hardware products, including the DGX A100 system, which combines eight A100 GPUs with NVLink interconnect technology to deliver high performance computing and storage in a single server.

Software to manage

In addition to its hardware products, Nvidia also offers a suite of software products designed to help data center operators manage and optimize their workloads. This includes Nvidia GPU Cloud (NGC), which provides a repository of pre-trained deep learning models, as well as tools for deploying and managing GPU-accelerated workloads. Nvidia also offers a range of software tools for managing and optimizing GPU performance, including the Nvidia CUDA Toolkit, which provides a set of libraries and APIs for developing GPU-accelerated applications, and the Nvidia GPU Management Toolkit, which provides tools for monitoring and optimizing GPU performance in data center environments.

Purpose of the systems

The Nvidia Data Center platform is used in a wide range of industries and applications, from scientific computing and weather forecasting to financial services and healthcare. For example, the platform is used by the National Center for Atmospheric Research to perform high-resolution climate change simulations and by the Centers for Disease Control and Prevention to analyze genomic data to identify disease outbreaks. In the financial services industry, the Nvidia Data Center platform is used to run complex risk simulations and predictive analytics models, while in healthcare it is used to accelerate medical imaging and drug discovery research.

Summary

The Nvidia Data Center Platform offers a powerful set of hardware and software products designed to accelerate data center workloads across a wide range of industries and applications. With a focus on GPU acceleration and high-performance computing, the platform is well suited for machine learning and artificial intelligence workloads, as well as scientific computing and virtual desktop infrastructure. As data center workloads grow in complexity and scale, the Nvidia Data Center platform is likely to play an increasingly important role in accelerating data center performance and enabling new applications and use cases.

NVIDIA Hits BIG in Data Center Market

Posted on by test


/NVIDIA Hits BIG in Data Center Market

Nvidia is a company known for producing high-performance graphics cards and gaming hardware, but the company is also making waves in the data centre space with its Nvidia Data Centre platform. The platform offers a set of hardware and software products designed to accelerate data centre workloads, from machine learning and AI to scientific computing and virtual desktop infrastructure.

Hardware offer

At the heart of the Nvidia Data Centre platform is a line of data centre GPUs, including the A100, V100 and T4. These chips are optimised to accelerate a wide range of workloads, from training deep learning models to running virtual desktops. They offer high levels of parallelism and performance, and are designed to be scalable and meet the needs of large data centers. In addition to GPUs, Nvidia also offers a range of data centre hardware products, including the DGX A100 system, which combines eight A100 GPUs with NVLink connectivity technology to deliver high performance computing and storage in a single server.

Software offer

In addition to its hardware products, Nvidia also offers a suite of software products designed to help data centre operators manage and optimise their workloads. This includes the Nvidia GPU Cloud (NGC), which provides a repository of pre-trained deep learning models, as well as tools to deploy and manage GPU-accelerated workloads. Nvidia also offers a range of software tools for managing and optimising GPU performance, including the Nvidia CUDA Toolkit, which provides a set of libraries and APIs for developing GPU-accelerated applications, and the Nvidia GPU Management Toolkit, which provides tools for monitoring and optimising GPU performance in data centre environments.

Use cases

The Nvidia Data Center platform is used across a wide range of industries and applications, from scientific computing and weather forecasting to financial services and healthcare. For example, the platform is used by the National Center for Atmospheric Research to perform high-resolution climate change simulations and by the Centers for Disease Control and Prevention to analyse genomic data to identify disease outbreaks. In the financial services industry, the Nvidia Data Centre platform is used to run complex risk simulations and predictive analytics models, while in healthcare it is used to accelerate medical imaging and drug discovery research.

Summary

The Nvidia Data Centre Platform offers a powerful set of hardware and software products designed to accelerate data centre workloads across a wide range of industries and applications. With a focus on GPU acceleration and high-performance computing, the platform is well suited for machine learning and artificial intelligence workloads, as well as scientific computing and virtual desktop infrastructure. As data centre workloads grow in complexity and scale, the Nvidia Data Centre platform is likely to play an increasingly important role in accelerating data centre performance and enabling new applications and use cases.

Supermicro Ultra SuperServer

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/Supermicro Ultra SuperServer

Supermicro Ultra SuperServer® is Supermicro's 11th-generation, high-performance general-purpose server. Ultra is designed to deliver superior performance, flexibility, scalability and serviceability in demanding IT environments, and to power critical enterprise workloads.

Unmatched performance: support for two scalable second-generation Intel® Xeon® processors with up to 28 cores per socket and up to 6 TB of ECC DDR4 memory in 24 DIMM slots with support for Intel® Optane Technology makes Ultra designed to handle demanding and complex workloads . Ultra is available in NVMe all-flash configurations, where users can benefit from reduced latency and increased IOP. With NVMe, it is possible to increase storage latency by up to 7 times and increase throughput by up to 6 times.1 The ROI benefits from NVMe deployments are immediate and significant.

Exceptional flexibility: Discover the freedom to adapt to different workloads with the versatile Supermicro Ultra system. Enhance your server environment with the perfect combination of computing power, memory and storage performance, network flexibility and serviceability. This highly scalable system provides excellent expansion and storage options with our patented vertical system. With support for multiple additional PCIe cards, the Ultra future-proofs your business with ever-changing computing and storage. This Ultra server is designed to handle any workload in any number of demanding environments.

Continued reliability and ease of service: Achieve higher levels of high availability and storage with the latest scalable Intel® Xeon® processors, ECC DDR4 memory modules, hot-swappable drive bays with NVMe support and energy-efficient redundant power supplies. Designed from the ground up as enterprise grade, Ultra is fully equipped with energy-efficient components and built-in redundancy.

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