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Archive for the ‘Community Boards’ Category

January 23rd, 2018

New Brew: Latest MACCHIATObin Community Boards are Able to Address Much Wider Scope of Developer Requirements

By Maen Suleiman, Senior Software Product Line Manager at Marvell

Following the success of the MACCHIATObin® development platform, which was released back in the spring, Marvell and technology partner SolidRun have now announced the next stage in the progression of this hardware offering. After drawing on the customer feedback received, a series of enhancements to the original concept have subsequently been made, so that these mini-ITX boards are much more optimized for meeting the requirements of engineers.

Marvell and SolidRun announce the availability of two new MACCHIATObin products that will supersede the previous release. They are the MACCHIATObin Single Shot and the MACCHIATObin Double Shot boards.

As before, these mini-ITX format networking community boards both feature the powerful processing capabilities of Marvell’s ARMADA® 8040 system-on-chip (SoC) and stay true to the original objective of bringing an affordable Arm-based development resource with elevated performance to the market. However, now engineers have a choice in terms of how much supporting functionality comes with it – thus making the platform even more attractive and helping to reach a much wider audience.

Figure 1: MACCHIATObin Single Shot (left) and MACCHIATObin Double Shot (right)

The more streamlined MACCHIATObin Single Shot option presents an entry level board that should appeal to engineers with budgetary constraints. This has a much lower price tag than the original board, coming in at just $199. It comes with two 10G SFP+ connectors without the option of two 10G copper connectors, and also doesn’t come with default DDR4 DIMM as its predecessor, but still has a robust 1.6GHz processing speed.

This is complemented by the higher performance MACCHIATObin Double Shot. This unleashes the full 2GHz of processing capacity that can be derived from the ARMADA 8040, which relies on a 64-bit quad-core Arm Cortex-A72 processor core. 4GB of DDR4 DIMM is included. At only $399 it represents great value for money – costing only slightly more than the original, but with extra features and stronger operational capabilities being delivered. It comes with additional accessories that are not in the Single Shot package – including a power cable and a microUSB-to-USB cable.

Both the Single Shot and Double Shot versions incorporate heatsink and fan mechanisms in order to ensure that better reliability is maintained through more effective thermal management. The fan has an airflow of 6.7 cubic feet per minute (CFM) with low noise operation. A number of layout changes have been implemented upon the original design to better utilize the available space and to make the board more convenient for those using it. For example, the SD card slot has been moved to make it more accessible and likewise the SATA connectors are now better positioned, allowing easier connection of multiple cables. The micro USB socket has also been relocated to aid engineers.

A 3-pin UART header has been added to the console UART (working in parallel with FTDI USB-to-UART interface IC). This means that developers now have an additional connectivity option that they can utilize, making the MACCHIATObin community board more suitable for deployment in remote locations or where it needs to interface with legacy equipment (that do not have a USB port). The DIP switches have been replaced with jumpers, which again gives the boards greater versatility. The JTAG connector is not assembled by default, the PCI Express (PCIe) x4 slot has been replaced with an open PCIx4 slot so that it can accommodate a wider variety of different board options (like x8 and x16, as well as x4 PCIe) such as graphics processor cards, etc. to be connected. Furthermore, the fixed LED emitter has been replaced by one that is general purpose input/output (GPIO) controlled, thereby enabling operational activity to be indicated.

The fact that these units have the same form factor as the original, means that they offer a like-for-like replacement for the previous model of the MACCHIATObin board. Therefore existing designs that are already using this board can be upgraded to the higher performance MACCHIATObin Double Shot version or conversely scaled down to the MACCHIATObin Single Shot in order to reduce the associated costs.

Together the MACCHIATObin Double Shot and Single Shot boards show that the team at Marvell are always listening to our customer base and responding to their needs. Learning from the first MACCHIATObin release, we have been able to make significant refinements, and consequently develop two new very distinct product offerings. One that addresses engineers that are working to a tight budget, for which the previous board would not have been viable, and the other for engineers that want to boost performance levels.

 

 

 

 

January 10th, 2018

Marvell Demonstrates Edge Computing by Extending Google Cloud to the Network Edge with Pixeom Edge Platform at CES 2018

By Maen Suleiman, Senior Software Product Line Manager at Marvell

The adoption of multi-gigabit networks and planned roll-out of next generation 5G networks will continue to create greater available network bandwidth as more and more computing and storage services get funneled to the cloud. Increasingly, applications running on IoT and mobile devices connected to the network are becoming more intelligent and compute-intensive. However, with so many resources being channeled to the cloud, there is strain on today’s networks.

Instead of following a conventional cloud centralized model, next generation architecture will require a much greater proportion of its intelligence to be distributed throughout the network infrastructure. High performance computing hardware (accompanied by the relevant software), will need to be located at the edge of the network. A distributed model of operation should provide the needed compute and security functionality required for edge devices, enable compelling real-time services and overcome inherent latency issues for applications like automotive, virtual reality and industrial computing. With these applications, analytics of high resolution video and audio content is also needed.

Through use of its high performance ARMADA® embedded processors, Marvell is able to demonstrate a highly effective solution that will facilitate edge computing implementation on the Marvell MACCHIATObin™ community board using the ARMADA 8040 system on chip (SoC). At CES® 2018, Marvell and Pixeom teams will be demonstrating a fully effective, but not costly, edge computing system using the Marvell MACCHIATObin community board in conjunction with the Pixeom Edge Platform to extend functionality of Google Cloud Platform™ services at the edge of the network. The Marvell MACCHIATObin community board will run Pixeom Edge Platform software that is able to extend the cloud capabilities by orchestrating and running Docker container-based micro-services on the Marvell MACCHIATObin community board.

Currently, the transmission of data-heavy, high resolution video content to the cloud for analysis purposes places a lot of strain on network infrastructure, proving to be both resource-intensive and also expensive. Using Marvell’s MACCHIATObin hardware as a basis, Pixeom will demonstrate its container-based edge computing solution which provides video analytics capabilities at the network edge. This unique combination of hardware and software provides a highly optimized and straightforward way to enable more processing and storage resources to be situated at the edge of the network. The technology can significantly increase operational efficiency levels and reduce latency.

The Marvell and Pixeom demonstration deploys Google TensorFlow™ micro-services at the network edge to enable a variety of different key functions, including object detection, facial recognition, text reading (for name badges, license plates, etc.) and intelligent notifications (for security/safety alerts). This technology encompasses the full scope of potential applications, covering everything from video surveillance and autonomous vehicles, right through to smart retail and artificial intelligence. Pixeom offers a complete edge computing solution, enabling cloud service providers to package, deploy, and orchestrate containerized applications at scale, running on premise “Edge IoT Cores.” To accelerate development, Cores come with built-in machine learning, FaaS, data processing, messaging, API management, analytics, offloading capabilities to Google Cloud, and more.

The MACCHIATObin community board is using Marvell’s ARMADA 8040 processor and has a 64-bit ARMv8 quad-core processor core (running at up to 2.0GHZ), and supports up to 16GB of DDR4 memory and a wide array of different I/Os. Through use of Linux® on the Marvell MACCHIATObin board, the multifaceted Pixeom Edge IoT platform can facilitate implementation of edge computing servers (or cloudlets) at the periphery of the cloud network. Marvell will be able to show the power of this popular hardware platform to run advanced machine learning, data processing, and IoT functions as part of Pixeom’s demo. The role-based access features of the Pixeom Edge IoT platform also mean that developers situated in different locations can collaborate with one another in order to create compelling edge computing implementations. Pixeom supplies all the edge computing support needed to allow Marvell embedded processors users to establish their own edge-based applications, thus offloading operations from the center of the network.

Marvell will also be demonstrating the compatibility of its technology with the Google Cloud platform, which enables the management and analysis of deployed edge computing resources at scale. Here, once again the MACCHIATObin board provides the hardware foundation needed by engineers, supplying them with all the processing, memory and connectivity required.

Those visiting Marvell’s suite at CES (Venetian, Level 3 – Murano 3304, 9th-12th January 2018, Las Vegas) will be able to see a series of different demonstrations of the MACCHIATObin community board running cloud workloads at the network edge. Make sure you come by!

January 9th, 2018

Processing the World’s Data

By Marvell, PR Team

The data requirements of modern society are escalating at a relentless pace with new paradigms changing the way data is processed. The rapidly rising volume of data that is now being uploaded and downloaded from the cloud (such as HD video or equally data-intensive immersive gaming content) is putting incredible strain onto existing network infrastructure – testing both the bandwidth and data density speeds that are supported.

The onset of augmented reality (AR) and virtual reality (VR) will require access to considerable processing power, but at the same time mandate extremely low latency levels, to prevent lag effects. The widespread roll-out of IoT infrastructure, connected cars, robotics and industrial automation systems, to name a few, will also have uncompromising processing and latency demands that are simply not in line with current network architectures.

Transporting data from the network edge back to centralized servers (and vice versa) takes time, and hence adds an unacceptable level of latency to certain applications. All this will mean that fundamental changes need to be made. Rather than having all the processing resources located at the center of the network, a more distributed model is going to be needed in the future. Though the role of centralized servers will unquestionably still be important, this will be complemented by remote servers that are located at the edge of the network – thus making them closer to the users themselves, and thereby mitigating latency issues which is critical for time-sensitive data.

The figures on this speak for themselves. It is estimated that by 2020, approximately 45% of fog computing-generated data will be stored, processed, analyzed and subsequently acted upon either close to or at the edge of the network. Running in tandem with this, data centers will look to start utilizing in-storage processing. Here, in order to alleviate CPU congestion levels and mitigate network latency, data processing resources are going to start being placed closer to the storage drive. This, as a result, will dispense with the need to continuously transfer large quantities of data to and from storage reserves so that it can be processed, with processing tasks instead taking place inside the storage controller.

The transition from traditional data centers to edge-based computing, along with the onset of in-storage processing, will call for a new breed of processor devices. In addition to delivering the operational performance that high throughput, low latency applications will require, these devices will also need to meet the power, cost and space constraints that are going to characterize edge deployment.

Through the highly advanced portfolio of ARMADA® Arm-based multi-core embedded processors, Marvell has been able to supply the industry with processing solutions that can help engineers in facing the challenges that have just been outlined. These ICs combine high levels of integration, elevated performance and low power operation. Using ARMADA as a basis, the company has worked with technology partners to co-develop the MACCHIATObin™ and ESPRESSObin® community boards. The Marvell community boards, which each use 64-bit ARMADA processors, bring together a high-performance single-board computing platform and open source software for developers and designers working with a host of networking, storage and connectivity applications. They give users both the raw processing capabilities and the extensive array of connectivity options needed to develop proprietary edge computing applications from the ground up.

Incorporating a total of 6 MACCHIATObin boards plus a Marvell high density Prestera DX 14 port, 10 Gigabit Ethernet switch IC, the NFV PicoPod from PicoCluster is another prime example of ARMADA technology in action. This ultra-compact unit provides engineers with a highly cost effective and energy efficient platform upon which they can implement their own virtualized network applications. Fully compliant with the OPNFV Pharos specification, it opens up the benefits of NFV technology to a much broader cross section of potential customers, allowing everyone from the engineering teams in large enterprises all the way down to engineers who are working solo to rapidly develop, verify and deploy virtual network functions (VNFs) – effectively providing them with their own ‘datacenter on desktop’.

The combination of Marvell IoT enterprise edge gateway technology with the Google Cloud IoT Core platform is another way via which greater intelligence is being placed at the network periphery. The upshot of this will be that the estimated tens of billions of connected IoT nodes that will be installed over the course of the coming years can be managed in the most operationally efficient manner, offloading much of the workload from the core network’s processing capabilities and only utilizing them when it is completely necessary.

Check out www.marvell.com to learn more about how Marvell is processing the world’s data.

 

November 28th, 2017

Keeping it Real: Innovative New Product Based on Marvell ESPRESSObin Platform Enables Physical Ports to be Added to Modern Virtual Networks

By Maen Suleiman, Senior Software Product Line Manager at Marvell

A number of emerging companies that serve the networking and data storage sectors are increasingly using Marvell’s popular community board – the Marvell ESPRESSObin® platform – in their product offerings. ZeroTier Edge is the latest appliance to be added to what is an ever growing list of such product offerings.

With this new product, Irvine-based start-up ZeroTier is looking to make the wide area network (WAN) much more local. According to ZeroTier, by using ZeroTier Edge, it is possible to create secure and robust LANs that can connect with a broad array of different devices across multiple locations. This means that a greater scope of equipment will now be able to gain access to virtual network infrastructure as it continues to be rolled out, without the associated software element needing to be installed.

This feature overcomes current obstacles that are holding back more widespread use of such connectivity. For example, in relation to some legacy equipment (office peripherals, building automation systems, surveillance cameras, industrial control mechanisms, etc.), installing this software simply isn’t an option, or in other cases (like where a large number of computers are involved), it is just impractical. Furthermore, using ZeroTier Edge mitigates the serious security issues that installing software onto a multitude of connected devices could potentially raise.

Relying on Marvell’s ARMADA® system-on-chip (SoC) technology and open source software, the ZeroTier Edge is a compact and highly versatile unit that can be located on a desktop and addresses a plethora of software-defined networking applications. This unit delivers enterprise-grade VPN, SD-WAN and network virtualization functionality.

ZeroTier Edge basically acts as a pre-configured layer 2 bridge that provides the physical ports (both wired and wireless) needed to enable hardware (like the examples set forth above) to connect with virtualized networks. Its ease of use means that this unit can even be installed by non-IT staff. As a result, ZeroTier is able to offer enterprise customers a unique plug-and-play solution such that they can get the full benefit of software-defined networking without needing to implement the complex and costly bridging arrangements that would otherwise be required.

Each ZeroTier Edge unit incorporates a Marvell ESPRESSObin single board computing platform that has been purpose built for supporting open source development activity of this kind within the networking space. The board features a high performance ARMADA 3700 dual core 64-bit ARM®-based processor that is capable of running at speeds of 1.2GHz. This IC allows the ZeroTier Edge to deal with up to 1Gbps of incoming/outgoing encrypted data traffic.

Through the Marvell ESPRESSObin board, ZeroTier Edge can also take advantage of extensive I/O capabilities, with 3x Gigabit Ethernet ports, a USB 3.0 SuperSpeed interface, plus dual band 802.11ac Wi-Fi®, SATA (for connection to network data storage resources) and mini PCIe.  1GByte of on-board DRAM memory and 4GBytes of flash memory are supported, too, with provision for attaching additional memory capacity using the SD card slot. There are also ample GPIO pins available.

Thanks to the Marvell ESPRESSObin board’s ability to provide strong operational performance at an attractive price point, implementing ZeroTier Edge into customers’ networks doesn’t require a heavy investment. The product is currently going through the crowdfunding process and has already gained over 90% of its target figure. The initial units are expected to start shipping in early 2018.

For more information on ZeroTier Edge and the opportunity to support the project, visit:
https://www.indiegogo.com/projects/zerotier-edge-open-source-enterprise-vpn-sd-wan#/

October 26th, 2017

Marvell Demonstrates Powerful Security Software & Implementation Support at OpenWrt Summit via Collaboration with Sentinel & Sartura

By Maen Suleiman, Senior Software Product Line Manager at Marvell

Thanks to its collaboration with leading players in the OpenWrt and security space, Marvell will be able to show those attending the OpenWrt Summit (Prague, Czech Republic, 26-27th October) new beneficial developments with regard to its Marvell ARMADA® multi-core processors. In collaboration with contributors Sartura and Sentinel, these developments will be demonstrated on Marvell’s portfolio of networking community boards that support the 64-bit Arm® based Marvell ARMADA processor devices, by running the increasingly popular and highly versatile OpenWrt operating system, plus the latest advances in security software. We expect these new offerings will assist engineers in mitigating the major challenges they face when constructing next-generation customer-premises equipment (CPE) and uCPE platforms.

On display at the event at both the Sentinel and Sartura booths will be examples of the Marvell MACCHIATObin™ board (with a quad-core ARMADA 8040 that can deliver up to 2GHz operation) and the Marvell ESPRESSObin™ board (with a dual-core ARMADA 3700 lower power processor running at 1.2GHz).

The boards located at the Sartura booth will demonstrate the open source OpenWrt offering of the Marvell MACCHIATObin/ESPRESSObin platforms and will show how engineers can benefit from this company’s OpenWrt integration capabilities. The capabilities have proven invaluable in helping engineers expedite their development projects more quickly and allow the full realization of initial goals set for such projects. The Sartura team can take engineers’ original CPE designs incorporating ARMADA and provide production level software needed for inclusion in end products.

Marvell will also have MACCHIATObin/ESPRESSObin boards demonstrated at the Sentinel booth. These will feature highly optimized security software. Using this security software, companies looking to employ ARMADA based hardware in their designs will be able to ensure that they have ample protection against the threat posed by malware and harmful files – like WannaCry and Nyetya ransomware, as well as Petya malware, etc. This protection relies upon Sentinel’s File Validation Service (FVS), which inspects all HTTP, POP and IMAP files as they pass through the device toward the client. Any files deemed to be malicious are then blocked. This security technology is very well suited to CPE networking infrastructure and edge computing, as well as IoT deployments. Sentinel’s FVS technology can also be implemented on vCPE/uCPE as a security virtual network function (VNF), in addition to native implementation over physical CPEs – providing similar protection levels due to its extremely lightweight architecture and very low latency. FVS is responsible for identifying download requests and subsequently analyzing the data being downloaded. This software package can run on all Linux-based embedded operating systems for CPE and NFV devices which meet minimum hardware requirements and offer the necessary features.

Through collaborations such as those described above, Marvell is building an extensive ecosystem around its ARMADA products. As a result, Marvell will be able to support future development of secure, high performance CPE and uCPE/vCPE systems that exhibit much greater differentiation.

October 11th, 2017

Bringing IoT intelligence to the enterprise edge by supporting Google Cloud IoT Core Public Beta on ESPRESSObin and MACCHIATObin community platforms

By Aviad Enav Zagha, Sr. Director Embedded Processors Product Line Manager, Networking Group at Marvell

Though the projections made by market analysts still differ to a considerable degree, there is little doubt about the huge future potential that implementation of Internet of Things (IoT) technology has within an enterprise context. It is destined to lead to billions of connected devices being in operation, all sending captured data back to the cloud, from which analysis can be undertaken or actions initiated. This will make existing business/industrial/metrology processes more streamlined and allow a variety of new services to be delivered.

With large numbers of IoT devices to deal with in any given enterprise network, the challenges of efficiently and economically managing them all without any latency issues, and ensuring that elevated levels of security are upheld, are going to prove daunting. In order to put the least possible strain on cloud-based resources, we believe the best approach is to divest some intelligence outside the core and place it at the enterprise edge, rather than following a purely centralized model. This arrangement places computing functionality much nearer to where the data is being acquired and makes a response to it considerably easier. IoT devices will then have a local edge hub that can reduce the overhead of real-time communication over the network. Rather than relying on cloud servers far away from the connected devices to take care of the ‘heavy lifting’, these activities can be done closer to home. Deterministic operation is maintained due to lower latency, bandwidth is conserved (thus saving money), and the likelihood of data corruption or security breaches is dramatically reduced.

Sensors and data collectors in the enterprise, industrial and smart city segments are expected to generate more than 1GB per day of information, some needing a response within a matter of seconds. Therefore, in order for the network to accommodate the large amount of data, computing functionalities will migrate from the cloud to the network edge, forming a new market of edge computing.

In order to accelerate the widespread propagation of IoT technology within the enterprise environment, Marvell now supports the multifaceted Google Cloud IoT Core platform. Cloud IoT Core is a fully managed service mechanism through which the management and secure connection of devices can be accomplished on the large scales that will be characteristic of most IoT deployments.

Through its IoT enterprise edge gateway technology, Marvell is able to provide the necessary networking and compute capabilities required (as well as the prospect of localized storage) to act as mediator between the connected devices within the network and the related cloud functions. By providing the control element needed, as well as collecting real-time data from IoT devices, the IoT enterprise gateway technology serves as a key consolidation point for interfacing with the cloud and also has the ability to temporarily control managed devices if an event occurs that makes cloud services unavailable. In addition, the IoT enterprise gateway can perform the role of a proxy manager for lightweight, rudimentary IoT devices that (in order to keep power consumption and unit cost down) may not possess any intelligence. Through the introduction of advanced ARM®-based community platforms, Marvell is able to facilitate enterprise implementations using Cloud IoT Core. The recently announced Marvell MACCHIATObin™ and Marvell ESPRESSObin™ community boards support open source applications, local storage and networking facilities. At the heart of each of these boards is Marvell’s high performance ARMADA® system-on-chip (SoC) that supports Google Cloud IoT Core Public Beta.

Via Cloud IoT Core, along with other related Google Cloud services (including Pub/Sub, Dataflow, Bigtable, BigQuery, Data Studio), enterprises can benefit from an all-encompassing IoT solution that addresses the collection, processing, evaluation and visualization of real-time data in a highly efficient manner. Cloud IoT Core features certificate-based authentication and transport layer security (TLS), plus an array of sophisticated analytical functions.

Over time, the enterprise edge is going to become more intelligent. Consequently, mediation between IoT devices and the cloud will be needed, as will cost-effective processing and management. With the combination of Marvell’s proprietary IoT gateway technology and Google Cloud IoT Core, it is now possible to migrate a portion of network intelligence to the enterprise edge, leading to various major operational advantages.

Please visit MACCHIATObin Wiki and ESPRESSObin Wiki for instructions on how to connect to Google’s Cloud IoT Core Public Beta platform.

June 17th, 2017

Marvell Technology Instrumental in Ground-Breaking New Open Source NAS Solution

By Maen Suleiman, Senior Software Product Line Manager at Marvell

The quantity of data storage that each individual now expects to be able to have access to has ramped up dramatically over the course of the last few years. This has been predominantly fueled by society’s ravenous hunger for various forms of multimedia entertainment and more immersive gaming, plus our growing obsession with taking photos or videos of all manner of things that we experience during an average day.

The emergence of the ‘connected home’ phenomenon, along with greater use of wearable technology and the enhanced functionality being incorporated into each new generation of smartphone handset have all contributed to our increasingly data oriented lives. As a result each of us is generating, downloading and transferring larger amounts of data-heavy content than would have been even conceivable a relatively short while in the past. For example, market research firm InfoTrends has estimated that consumers worldwide will be responsible for taking over 1.2 trillion new photos during 2017 (that is more than double the figure from 5 years ago). Furthermore, there are certainly no indications that the dynamics that are driving this will weaken and everything will start to slow down. On the contrary, it is likely that the pace will only continue to accelerate.

If individuals are to keep on amassing personal data at current rates, then it is clear that they will need access to a new form of flexible storage solution that is up to the job. In a report compiled by industry analysts at Technavio, the global consumer network attached storage (NAS) market is predicted to grow accordingly – witnessing an impressive 11% compound annual growth between now and the end of this decade.

Though, it must be acknowledged, that we are shifting an increasing proportion of our overall data storage needs to the cloud, the synching of large media files for use in the home environments can often prove to be impractical, because of latency issues arising. Also there are serious security issues associated with relying on cloud-based storage when it comes to keeping certain personal data and these need to be given due consideration.

Start-up company Kobol has recently initiated a crowdfunding campaign to garner financial backing for its Helios4 offering. The first of its kind – this is an open source, open hardware NAS solution that will allow the storing and sharing of music, photos and movies through connection to the user’s home network. It presents consumers with a secure, flexible and rapidly accessible data storage reserve with a capacity of up to 40 TeraBytes (which equates to around 700,000 hours of music, 20,000 hours of movies or 12 million photos).

Helios4 has small dimensions. Built-in RAID redundancy is included in order for ongoing reliability to be assured. This means that even if one of the 4 hard drives (each delivering 10 TeraBytes) were to crash, the user’s content would remain safely stored, as the data is mirrored onto another of its drives. The result is a compact, cost effective and energy saving storage solution, which acts like a ‘personal cloud’.

 

Figure 1: Schematic showing the interface structure of Helios4 powered by ARMADA 388 SoC

Figure 1: Schematic showing the interface structure of Helios4 powered by ARMADA
388 SoC

 

Figure 2: The component parts that make up the Helios4 kit

Figure 2: The component parts that make up the Helios4 kit

Inspired by the open hardware, collaborative philosophy, Helios4 can be supplied as a simple to assemble kit that engineers can then assemble themselves. Otherwise, for those with less engineering experience it comes as a straightforward to use out-of-the-box solution. It offers a high degree of flexibility and a broad array of different connectivity options.

At the heart of the Helios4’s design is a sophisticated ARMADA 388 32-bit ARM-based system-on-chip (SoC) from Marvell, which combines high performance benchmarks with power frugal operation. Based on 28nm node, low power semiconductor technology, its dual-core ARM Cortex-A9 processing resource is capable of running at speeds of up to 1.8 GHz. USB 3.0 SuperSpeed and SATA 3.0 ports are included so that elevated connectivity levels can be supported. Cryptographic mechanisms are also integrated to maintain superior system security.

By clicking on the following link you can learn more about the Helios4 Kickstarter campaign. For those interested in getting involved, the deadline to make a contribution is 19th June.