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Qualcomm Inc. are a major player in the world of wireless telecommunications and mobile technology and are well known as an industry leading mobile chip manufacturer.  They are probably best known for their “Snapdragon” line of mobile chips used in many premium smartphones such as Samsung’s Galaxy S smartphones, which has used Snapdragon chips since the Galaxy S2 released in 2011.

Check out a Forbes post on the newst Qualcomm chip within the brand new Samsung phone here

Now, it seems that Qualcomm are trying to take their mobile computing knowledge and expertise and apply it to the datacenter. The Qualcomm “Cloud AI 100” is their newly announced dedicated AI inference chip that is designed to meet the growing demand for cloud AI inferencing by accelerating AI experiences, while providing high power efficiency with low power consumption. Qualcomm is also responsible for developing 5G-capable chipsets that will be used in a wide range of mobile devices, so it makes sense that the new Cloud AI 100 chip will be optimised for edge-cloud infrastructure as 5G networking will benefit greatly from this infrastructure.  

Qualcomm says that this new AI solution is “built from the ground up” for AI acceleration and will offer 10x the performance per watt when compared to the top solutions already available on the market such as Nvidia’s T4 series of accelerators and Google’s Edge TPU inference chips. The AI performance of the chip will be about 350 TOPS (trillion operations per second) according to Qualcomm, which would make it about 50x more powerful at AI workloads than their current flagship mobile chipset, the Snapdragon 855. The Cloud AI 100 will be compatible with most industry-leading software stacks such as Keras, Caffe, Tensorflow and PaddlePaddle with OnnX, XLA and Glow runtimes also being supported.  

There is definitely demand in the datacenter market for more power-efficient AI accelerators.  Joe Spisak, who is a product manager at Facebook, said at the Qualcomm event that Facebook computers make about 200 trillion predictions everyday, and that this ever increasing workload means that it is difficult to keep up with the growing power demands of their data centers.  Qualcomm’s Cloud AI 100 seems like a very promising solution to the problem of meeting the power needs of data centers, meaning that we could be seeing widespread adoption of these accelerators from companies such as Facebook that need to process vast amounts of data while keeping their power consumption in check.  This demand for more power efficient solutions is not only because of financial incentive but also because of the growing pressure to reduce the impact of data centers on the environment, which mainly comes from the unsustainable methods of producing the power demanded by these data centers.

An interesting blog post on how data centers and minimising the impact on the enviroment. Click here

Qualcomm will likely see competition in this sector of the market in the near future however, as Intel in particular have been buying up smaller companies that make a variety of chips with various attributes that would be beneficial for AI accelerators.  Qualcomm also has to catch up with Nvidia who have been very successful in adapting their GPUs for use in data centers, which has been very lucrative for them, earning them billions.

If you have any questions about AI accelerators or their benefits or are interested in HPC solutions please contact us with the information below

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On March 19th 2019, Google unveiled its new game streaming service “Google Stadia” at the Game Developers Conference in San Francisco.  

The new service offers users the ability to stream modern games at 4K resolution, 60 frames per second with HDR and surround sound to google platforms such as the chrome browser or via chromecast.

This means that users can theoretically play modern triple-A titles anywhere in the world as long as they have a good enough internet connection, without any traditional gaming hardware. Games can even be streamed and played at very high settings on a smartphone, because the games are actually being run on Google’s servers in a datacenter. At launch, the service will be available in the US, Canada, UK and Europe and users will be able to stream games to Chrome browser, Chromecast and Pixel devices.  

This is not the first cloud game streaming service available to consumers however. Cloud gaming services already exist in the form of Sony’s Playstation Now and Nvidia’s GeForce Now and have been around for a couple of years. The emergence of new competition in the market suggests that providing cloud gaming solutions is quickly becoming more commercially viable, which is no surprise given the improvements in network speed and bandwidth as well as the power of servers.  

See a blog about Playstation's Now performance here

Another common problem with cloud gaming services is the latency of the connection to server.  If the server that is running your game is physically located too far from the end user, then they may experience noticeable lag between input and the game reacting due to latency over large distances.  To counter this effect, Google plans to set up Stadia servers at over 7,500 locations across the globe, coupled with ever-improving networking infrastructure, latency issues should be minimized. 

Of course, the specification of the servers is a huge factor when trying to make the service as affordable as possible without compromising performance.  To achieve this price and performance balance, Google have partnered with AMD to create a custom GPU for Stadia servers which is capable of 10.7 teraflops of power.  To put this into perspective, a PS4 PRO manages 4.2 teraflops and the Xbox One X, the most powerful games console is capable of about 6 teraflops. With 16GB of RAM and a 2.7GHz hyperthreaded x86 based CPU, Stadia servers are running off hardware which resembles a high end gaming PC much more than a games console.  

There has been no hint of what Google plans to charge for this service but if each player requires their own dedicated server to play games, customers may find themselves paying a lot for this service to cover the ownership costs of the servers.  In the future, Google plans to upgrade the service so that users can stream games in 8K resolution at 120 fpsalthough there was no indication of when this will be implemented.

This will pose further problems for pricing of the service as each user may need multiple dedicated servers to reach this level of performance, a cost which the end user will most likely have to cover.  

Hopefully, Google’s partnership with AMD to create a custom GPU has resulted in a cost-effective solution for the Stadia servers, allowing Google to charge an attractive price that will tempt gamers to subscribe instead of opting for traditional gaming hardware.

If you have any questions about the dardware used or any firther questions about the Servers and solutions we offer please contact our sales team with the information below. 

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The data center world is currently experiencing a price collapse for NAND flash memory as vendors try to clear out their inventory.  This is in response to recent demand for NAND memory from data centers being lower than expected, which is good news for consumers as the current average unit price for a 512GB SSD is the same as a 256GB SSD from just a year ago with prices expected to continue dropping throughout 2019.  This has resulted in widespread adoption of SSDs in consumer PCs, meaning that they are now becoming the standard storage option across the board.

 

There is no doubt that SSDs greatly outperform traditional hard disks when it comes it speed, but consumers and data center customers probably aren’t harnessing the true potential of their flash storage devices.  The SATA interface is still the standard storage connection used by the majority of consumers and is still very widely used in data centers, despite being a legacy technology.

 

SATA was announced in 2000 and first introduced in 2001 to replace the IDE interface and was designed for the mass storage devices of the time such as hard disk drives and optical drives.  The SATA interface has not been a bottleneck for computer systems throughout the 2000s and early 2010s as the interface is suited to the speed and throughput of traditional HDDs, so there was never a need for another interface.

 

However, modern SSDs can be several times faster than even the fastest hard drives, and the SATA interface is not designed for these high levels of throughput, which is why PCIe based SSDs have been gaining popularity.  PCIe is much better suited to the NAND format because it is several times faster than SATA and provides much more throughput and parallelism.

To put this into perspective, a SATA-based SSD would be like a super-fast motorway but with only 1 lane, it’s fast but the fact there’s one lane means it’s quite inefficient.  A PCIe-based SSD on the other hand would be like a motorway going at the same speed but with more lanes open, allowing much higher data throughput.

 

PCIe SSDs are not groundbreaking technology and are not particularly new,  they have been readily available to consumers for a while in the form of M.2 drives and are becoming even more popular with the memory price collapse.  One of the reasons they haven't been widely adopted in the past was the price difference between PCIe and SATA drives, with the former costing quite a bit more due to the PCIe controller.  This is no longer the case these days, as SATA and PCIe devices cost more or less the same because the PCIe controller is now manufactured with ease, thanks to Moore’s Law.

Click here to see more information on Moore's Law

As demand grows for faster, higher throughput storage options, and with the collapse of memory prices, data center customers may be looking to PCIe-based SSDs as their go-to option for storage instead of SATA.  There is certainly incentive for this to happen as data centers who  adopt this technology will definitely have an edge over those who don’t and there is not much to lose at all as the price difference between SATA and PCIe drives continues to get smaller.

 

If you would like to learn more about our range of storage solutions please contact our sales team us by phone or email.  

Sales@serverfactory.co.uk 

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In today’s interconnected society, the amount of data being produced is increasing exponentially, especially with recent developments in Internet of Things (IoT) technology and mobile networking.

Click here to see a blog post detailing what IOT is.  

This means that the amount of data that organisations have to store and process will vastly increase over the next few years, so these organisations are looking for future-proof IT infrastructure solutions that will be able to process, store and analyze large volumes of data faster than ever.

 

This is where High Performance Computing (HPC) comes in. HPC is defined as the use of supercomputers and parallel processing techniques in order to solve complex computational problems.  These supercomputers are much more powerful than standard consumer laptops and desktops which are capable of billions of calculations per second, but this is slow compared to the quadrillions of calculations that supercomputers can do per second.  

 

Supercomputers are essentially just computers that have a high level of performance when compared to other general-purpose computers.  These computers usually have thousands of nodes that work together in completing one or more computational tasks , also known as “parallel processing”. This makes supercomputers very good at complex computing tasks such as editing feature films with advanced special effects, predicting weather and artificial intelligence.  

 

These Supercomputer nodes need special processors that are designed for parallel computing workloads. Intel’s Xeon Phi family of processors has been specifically designed for HPC workloads with up to 72 cores

You can see the full range of Intel's Xeon Phi family processors here.

This enables this processor to deliver extremely high processing performance of over 3 tera-FLOPS while maintaining respectable power efficiency.  Xeon Phi chips can also be used as co-processors to conventional server CPUs in the form of PCIe expansion cards, as is the case with the Tianhe-2 supercomputer at the National Supercomputer Center in Guangzhou which uses Xeon Phi coprocessors alongside Ivy Bridge-EP Xeon processors.  

 

HPC is currently used in a range of applications that are crucial for society such as the real-time analysis of stock trends, automated trading and more recently, artificial intelligence (AI).  AI is the current frontier of what is possible with high performance computers and optimization for AI workloads is quickly becoming the standard for the HPC market.

 

There are so many use cases for AI that most industries will be able to benefit from it in some way due to the ability to analyze large amounts of data, identify trends and use the information to predict future trends and automating responses to the data.  

An example of the real world benefits of AI has been demonstrated by Google in 2014 when they deployed the Deepmind AI into one of their facilities and saw a 40% reduction in the energy used for cooling. This obviously translated into much lower energy costs for the facility, which would be a very attractive benefit for data centers and since data centers make up a significant portion of global energy use, this would significantly reduce human energy use and reduce our overall impact on the environment.  

If you would like to see more information on this huge energy reduction which was made possible by AI please click here.

 

If you have more questions about high performance computing or are interested in our HPC solutions, please contact us by phone or email.  

Sales@serverfactory.co.uk

+44 (0)20 3432 5270

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As edge computing is starting to be used in a variety of different industries, “micro data centers” could soon become the industry standard, replacing traditional large-scale data centers with an emphasis on efficiency.  


With the advent of Internet of Things (IoT) devices and 5G, it is becoming more beneficial to decentralize server workloads related to these technologies.  

If you need more information on Internet of things please check out our IOT blog here.


This basically means data is processed at the edge of your network instead of in a centralised data center which can be hundreds of miles away. The benefits of this practice include much improved latency, allowing devices to communicate with each other almost instantaneously. If you want to learn more about edge computing and what it means for the future of networking, read our blog on Edge Computing here.    


To accommodate this shift, companies such as Schneider Electric have been putting out designs for these micro data centers which look like cabinets which could be installed indoors on a business’s premises and provide up to 42U of rackspace for traditional rack-mount servers.  There are also mini racks available featuring integrated systems, which means that we could potentially soon be seeing data centers sitting in the middle of stores and banks. Schneider Electric are an analytics and hardware company at their core that focuses on optimizing power consumption, however their EcoStruxurestyle platform of data center gear is gaining traction.


Many industries could benefit from these miniature data centers but one of the industries that stands to gain the most is retail because the industry benefits from low latency compute used for personalised marketing, network resilience. Micro data centers would also not look out of place in commercial settings, as a recent demo in Andover showed a discreet micro datacenter with Schneider CX casing, shock-mountings, a wood fascia and sound insulation. This makes them suitable for even carpeted office environments as they can blend in well with office furniture, so visitors could be completely unaware they are standing next to a micro data center.

See a blog post by DataCenterDynamics detailing these style discreet Micro Data Centers 


If you have more questions about Micro Data centers or Internet of things feel free to phone or email us with the information below.  

Sales@serverfactory.co.uk

+44 (0)20 3432 5270



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On April 2nd 2019 in San Jose California, Supermicro announced that their entire portfolio of X11 servers and storage systems will feature fully optimized support for the new 2nd generation Intel Xeon Scalable Processors.

See our blog post on the 2nd generation Intel Xeon Scalable Processors here.

This is accompanied by support for more of Intel’s new technologies such as Intel Optane DC persistent memory and Intel’s Deep Learning Boost.  These features will mean increased memory capacity and affordability as well as more efficient AI acceleration.Overall, these new optimized servers will help customers achieve up to 35% faster data center performance and up to 50% reduction in TCO all while reducing the impact on the environment.  

 

The very quick adoption of this new cutting-edge technology clearly shows Supermicro’s commitment to providing their customers with the latest technologies as soon as they are released so that they can enjoy higher server performance with improved TCO to drive industry leading performance.

To achieve these INSANE improvements , Supermicro is taking full advantage of the new 2nd Gen Intel Xeon Scalable processors’ new features such as 10% faster DIMMS, 50% more memory capacity and high CPU clock speeds of up to 3.8Ghz. Furthermore, Supermicro’s all-flash NVMe 1U storage servers already have support for next-generation flash technologies which includes NF1 and EDSFF form-factor SSDs, providing the highest storage bandwidth in the industry as well as ease of maintenance.  

Supermicro’s President and CEO, Charles Liang, said here that they already have “over a dozen high-profile customers reporting exciting performance gains using these new 2nd Gen Intel Xeon Scalable processors on a variety of applications.”

Supermicro currently has a portfolio of over 100 workload optimized systems that support the new family of processors.  These include Supermicro’s industry leading resource saving systems, which uses unique resource-saving architecture to greatly reduce refresh cycle costs for data centers by disaggregating CPU, memory and other subsystems.  

On average, over a 3 to 5 year refresh cycle, Supermicro resource-saving servers provide more efficient and higher performance at lower costs than traditional servers because the technology allows data centers to optimize the adoption of new technology.  

 

Supermicro’s broad selection of AI systems also benefit from the new features brought by Intel’s 2nd Gen Scalable processors. These servers are optimized for AI, Deep Learning and HPC workloads but will see even better performance and efficiency in these areas thanks to new built-in features on the 2nd Gen Scalable chips such as AI accelerators and Intel DL Boost.

Click here to see HPC and AI in today's environment explained

 Supermicro supplies the widest range of these AI optimized systems, ranging from 1U to 10U form factors with support for 1 to 20 GPUs and highly specialised systems for specific AI workloads such as Deep Learning Training.

To read the full Supermicro blog post please click here.

 

If you have more questions about Supermicro's latest blog post or are interested in any 2nd Gen Intel technology please contact us by phone or email

Sales@serverfactory.co.uk

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We are currently seeing a big increase in popularity of everyday devices such as light bulbs and doorbells that are capable of being connected to the internet.  This new network of these interconnected devices is often referred to as the “Internet of Things” and is offering new level of interconnectedness and control to consumers as well as commercial users.

We are seeing more of these everyday internet-connected devices in recent years due to the development of other technologies that have made this possible, such as machine learning, embedded systems and automation.  The development of these technologies have made products like Amazon’s Alexa possible as well as wearable technology such as the Apple Watch which has created a whole new market of devices.

Click here to see more about Amazon's Alexa

Click here to see more about Apple's Apple Watch

The Internet of Things devices collectively serve a larger purpose which is the “smart home”. The smart home is a very exciting concept of home automation which takes aspects of a home such as lighting, heating, media and security and having them easily controlled centrally by the owner’s smart devices.  The long term benefits of having a smart home include possible energy savings as lights and heating could be scheduled to be turned off when suitable and the owners doesn’t even have to be home to do it.   

Silicon Valley-based company Enlighted, for example, claims to reduce clients' lighting bills by 60 to 70 percent and their air conditiong bills by 20 to 30 percent.

Another major benefit of the Internet of Things and smart homes is that it makes taking care of the elderly easier and safer, especially considering the exponential increase in the aging population. Voice control could help elderly people with mobility and sight limitations and alert systems could be directly connected to ear implants in people with hearing difficulties. This network of devices has already given us more freedom in terms of managing our devices and could provide a higher quality of life with more development.  

A really interesting going into more depth om look after the eldergy with IOT devices by AgingInPlace. Click here to read it

The commercial applications of this kind of network are also quite attractive. The Internet of Things could make smart manufacturing more widespread, since automation is already commonplace in manufacturing.  Manufacturing equipment could be connected up to a network and controlled centrally, which means that a firm’s manufacturing process could be adjusted very easily without the need for access to physical equipment.  This could be very beneficial to manufacturing firms as this could make individual factories much more flexible with their processes due to more and faster control.

More Internet of Things devices continue to come to market with promises of more advanced features and increased connectivity, which will certainly make our lives easier.  However, there are concerns with the security of these devices as a vulnerability in just one smart device could mean that a someone’s entire home network could become compromised.  This could become a major issue especially if smart-locks on people’s front doors become compromised.

Click here to see IBM's block about secuirty issues with IOT devices

We are looking foward to seeing this brand new industry progress and we will be sure to keep you updated on any progress. 

 

If you have more questions about Internet of things or feel free to phone or email us with the information below.  

Sales@serverfactory.co.uk

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AMD VS INTEL


AMD processors are usually seen as value-for-money budget alternatives to the mainstream Intel Core series processors and it is no matter of discussion that Intel has been dominating the computing enthusiast world for quite some time.  However, in the world of servers, AMD is slowly but surely gaining a foothold and taking market share away from Intel.


AMDs EPYC server processors are now directly competing with Intel's Xeon lineup as they offer similar performance and are competitively priced.  In some ways, EPYC processors can be considered better than Intel's Xeon Scalable lineup. An example of this would be core count, as the current top of the range Platinum Intel Xeon Scalable CPU has 28 processing cores whereas AMDs EPYC CPUs can come with up to 32 cores.  


Intel Xeon server chips are still very much the industry standard with a report from Spiceworks claiming that currently 93% of organisations are using Intel Xeon chips and only 16% of organisations use AMD processors.  Interestingly, the report also claims that 5% of organisations plan to add AMD server hardware to their infrastructure within the next 2 years, and 8% of organisations at 2 years and beyond.


This shows the industry’s strong faith in Xeon chips to be effective in data centers but it also shows that the industry is not afraid to experiment with AMDs alternative.   This is the result of AMDs efforts to chip away Intel’s market share by one-upping them in terms of core count and pricing their products competitively. They have been successful in this regard across the board and not just in the data center market, with AMD taking away market share from Intel for 5 consecutive quarters and it seems to be continuing.  


It seems that AMD plan to continue with this strategy with the next generation of server chips.  They have recently released a video showing a next-generation EPYC “Rome” 64-core CPU beating 2 Intel Xeon Platinum 8180M CPUs in the C-Ray benchmark.  This could mean Intel is at risk of potentially losing a substantial amount of market share when the next generation of server CPUs comes around later this year, especially considering that Intel have announced that new generation Xeon processors will be available with up to 56 cores.  


AMD still has an uphill battle to fight if they want to secure a larger share of the server CPU market in the future especially considering Intel’s focus on advanced CPU technologies such as optimization for AI workloads, which AMD are yet to catch up on.  It’s also very possible that a big reason Intel is so dominant in this sector is due to the perception that Intel’s products are just better compared to AMD, which is definitely starting to come into question as AMD prove that they can provide excellent yet cost-effective performance.

 

If you are intersted in an AMD powered solution, please get in contact with our sales team: Sales@serverfactory.co.uk. +44 (0)20 3432 5270

 

For more information about the brand new Intel products click here.

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Intel Release Broad Range of New Workload-optimized Chips

Wednesday, 3 April 2019 13:12:50 Europe/London

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On Tuesday 2nd of April 2019 at a data-center innovation event in California , Intel announced its widest portfolio of Intel Xeon processors ever.  Intel has launched over 50 new processors, a lot of them with data-center optimization in mind, as well as other new chips, memory and storage solutions.  This new product portfolio shows Intel’s shift from being a “PC-centric” company to being more focused on data center technologies, which is no surprise given the ever-increasing demand for systems that are optimized for AI workloads, cloud computing and 5G networking.


These new 2nd generation Xeon Scalable processors include support for Intel DL Boost technology (Intel Deep Learning Boost) which is designed to accelerate AI inference workloads such as image-recognition in datacenter, enterprise and edge-computing environments.  Intel says they have worked closely with their partners so that DL Boost technology is optimized and users can maximise benefits from the technology. In fact, the real world practical value of DL Boost technology has been demonstrated as Microsoft has reported a 3.4x boost in image-recognition performance, Target has reported a 4.4x boost in machine learning inference and JD.com has seen a 2.4x boost in text recognition, all since implementing Intel DL Boost technology.


Intel’s new server-class flagship processor is now undoubtedly the Xeon Scalable Platinum 9200, with 56 cores and 12 memory channels.  Intel says that this processor is “designed to deliver leadership socket-level performance and unprecedented DDR memory bandwidth in a wide variety of high-performance computing (HPC) workloads, AI applications and high density infrastructure.  


Other new features of the new generation Xeon Scalables include Intel Turbo Boost Technology 2.0, which allows for a maximum boost clock of 4.4GHz, Enhanced Intel Infrastructure Management Technologies and importantly support for Intel’s Optane DC persistent memory.  

 

Intel have also updated their Xeon D product family with the new 1600 series which builds on the Xeon D-1500 by providing higher clock speeds in a familiar package.  The new processors will see an increase in base frequency of 1.2 - 1.5x that of Xeon D-1500 processors with a boost clock of up to 3.2GHz with Intel Turbo Boost Technology 2.0, thanks to extra TDP headroom.  These new chips are mainly targeted at edge networking, mid-range storage solutions and solutions were space is a constraint such as localised cloud infrastructure.


Alongside the new Xeon CPUs, Intel also launched their Optane DC Persistent memory DIMMs which they describe as delivering “breakthrough storage-class memory capacity to the Intel Xeon Scalable Platform”.  These new memory modules can be installed with traditional DRAM in systems using a standard DDR4 slot. Optane DC Persistent memory is quite revolutionary because it provides a consistent memory tier, which allows data persistence in main system memory rather than disks.      


Alongside this, Intel also launched a new dual-port SSD the Optane DC SSD D4800X (NVMe), which they claim will deliver 9x faster read latency when compared to NAND dual port.  The Intel SSD DC D5-P4326 was also released which is one of Intel's new “Ruler” SSDs, named so because of their form factor. These long and thin “ruler” shaped SSDs come in 15.36TB and 30.72TB capacities, with the smaller also being available in a more conventional 2.5 inch U.2 form factor.  These enterprise-class SSDs finally make it possible to have up to 1PB of storage in a 1U server design, making possible a whole new level of storage density.

 

If you would like more information about Intel's newly released products, click here.

 

If you are interested in purchasing a solution featuring these new products, please get in touch with our sales team: Sales@serverfactory.co.uk +44 (0)20 3432 5270


 

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Supermicro releases new Edge computing products in response to emerging AI and 5G technologies

At Mobile World Congress 2019 in Barcelona, Supermicro announced that they are launching new Edge computing systems that are designed to cope with artificial intelligence and 5G workloads.

In a nutshell, Edge computing brings data storage and computing power physically closer to the end user.  In the words of Alex Reznik, Chair of the ETSI MEC ISG standards committee, “anything that’s not a traditional data center could be the ‘edge’ to somebody”.  This would include workloads running on systems that are physically on customer premises.  Basically the goal of Edge computing is to push applications, data and computing power away from centralized points such as data centers and closer to the end user.  

 The reason Supermicro are putting more emphasis on Edge systems is mainly due to the emergence of 5G networking.  The amount of data handled by today’s edge systems is constantly growing which poses challenges to businesses such as bandwidth congestion, processing delays and privacy issues.  

With their new Edge platforms based on Supermicro servers, they hope to help businesses process large data volumes, increase reliability, reduce latency and provide more secure connections.  The new 1019D-16C-FHN13TP and 1019D-FRN5TP edge computing systems are designed for the intelligent Edge as they are balanced between compute, storage, AI and networking capabilities and support up to 37 LAN ports including RJ45 and SFP ports.  These edge systems are also compact as they are 1U with 15 inches of depth. Perfect for businesses looking to run these systems on-site.

For more information about these systems, please contact us by phone or email and we will be glad to further assist you.

Email:Sales@serverfactory.co.uk

Phone:+44 (0)20 3432 5270

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