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Schaffner adds two more EMC filters for robotics and data centres

Thu, Sep 08, 2022

Two EMC filters have been added by Schaffner. The FN2520 and FN2660 join the initial FN2500 and FN2640 models.

The latest additions to the EMC filter range have been developed to meet the specific needs of the robotics and data centre markets.

These two applications, together with autonomous machines require power supplies to be mounted in 19 inch rack cabinets. To accommodate this, and provide systems builders with seamless integration, Schaffner has packaged the new EMC filter series in a space saving 1U rack-mount design.

Versatile connection options

The FN2520 and FN2660 EMC filters are available with a range of connection options, including on input and output include push-on terminals, cable glands, screw terminals or spring terminals for the new FN2520 and the existing FN2500 filters. The FN2640 and FN2660 offer IEC C14 (10 to 15A) or IEC C20 (16 to 20A) input connectors for direct mains connection and with a range of output connectors.

Key standard features include input voltage 250V AC at DC to 60Hz (277V AC / 400V DC in the case of the FN2500 filter), output current 10 to 20A at 40 degrees C, MTBF above 300,000 h and operating temperature range of -40 to +100 degrees C (with derating above 40 degrees C).

The FN2500 / FN2640 EMC filters meet the requirements of IEC 62368-1 – Audio/Video, Information and Communication Technology and equipment and IEC/EN 60335-1 – Household and similar appliances, Climatic Category 40/10 0/21 to IEC60068-1, Certified to UL 60939-3, IEC/EN 60939-3, GB/T 15287 and Protection category IP00 / IP20 for -103 terminals.

Data sheets are available to download. Sales representatives or partners can provide samples and quotations.

Schaffner specialises in electromagnetic compatibility and power quality components for an efficient and reliable use of electric energy. Schaffner Group’s products and services contribute to the promotion of technologies for the generation of renewable energies, ensures the reliable functioning of electronic devices and systems in compliance with all important quality and performance standards, and meets the requirements for increasing energy efficiency.

http://schaffner.com

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Intel introduces socketed SoCs for edge and AI

Mon, Sep 05, 2022

12th gen Intel Core SoC processors have been announced. Intel announced the line-up of purpose built edge processors which can be used to enhance graphics, AI for the IoT edge.

According to Intel, the purpose-built edge SoC processors mark an industry first: a socketed SoC for high performance integrated graphics and media processing for visual compute workloads. They have a compact footprint and a wide operating thermal design power (TDP) for small form factor, fanless designs.

The SoC has been developed in response to the increased volume of data created at the edge which needs to be processed and analysed. Digital transformation at the edge requires increased processing power and AI inference performance to future-proof AI workloads, said the company. These 12th gen Intel Core SoC processors for IoT edge feature manageability capabilities including Intel vPro options for remote control and manageability which is required for managing and servicing systems deployed at the IoT edge.

The 12th gen Intel Core SoC processors deliver up to four times faster graphics, as measured by 3DMark, the benchmarking tool, and up to 6.6 times faster GPU image classification inference performance compared with 10th gen Intel Core desktop processors in a 12 to 65W design.

The 12th gen Intel Core SoC processors for IOT edge include Intel Thread Director, which intelligently directs the operating system to assign the right workload to the right core. With up to 14 cores and 20 threads, the SoC processors also reach up to 1.32 times faster single-thread performance and up to 1.27 times faster multi-thread performance compared with 10th Gen Intel Core desktop processors, said Intel.

The SoC processors also support AI for inferencing and machine vision, with up to 96 graphics execution units for a high degree of parallelisation in AI workloads. AI acceleration on the CPU via Intel Deep Learning Boost provides additional inferencing. The processors also support Intel Distribution of OpenVINO toolkit optimisations and cross-architecture inferencing. The integrated graphics, enhanced visual compute, and AI capabilities may realise imaging and pattern recognition for healthcare or create new opportunities for point of sale retail, said Jeni Panhorst, vice president Data Platforms and general manager of the Network & Edge Platforms division.

Other market sectors likely to expand remote control and manageability of systems at the edge include banking, hospitality and education to respond to changing supply and demand. For industrial manufacturing, they can enhance industrial PCs, edge servers, advanced controllers, machine vision systems and virtualised control platforms, while in healthcare the processors can deliver enhanced ultrasound imaging, medical carts, endoscopy and clinical devices at the edge.

http://www.intel.com

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SQFlash PCIe Gen.4 SSD pair deliver thermal efficiency to HPEC

Thu, Sep 01, 2022

For high performance embedded computing (HPEC) the Advantech SQF 930 and SQF ER-1 are claimed to have industrial heat dissipation capabilities suitable for stable operation in edge computing. According to Advantech, they maximise system efficiency while accommodating the harsh conditions and wide temperatures found in outdoor or industrial usage scenarios.

The Advantech SQF 930 and ER-1 series are designed with PCIe Gen. 4 specifications, delivering double data streaming performance compared to Gen. 3 versions. They are also available in M.2 2280 and U.2 (SFF-8639) sizes.

SQFlash provides different types of general, read-intensive, and mixed-use options that enable edge storage devices to keep up with numerous, real time streaming data sources. In addition, the SQF 930 and ER-1 series support three drive writes per day (DWPD) and one DWPD levels to meet different industrial requirements. These also support a wide temperature range (-40 to +85 degrees C) for mission critical applications. In addition, the ER-1 series is built with low power consumption credentials that meet high power and low carbon expectations, said Advantech.

As is the case with the proliferation of the IoT, AI technology development has increased power consumption and heat at the edge. In response, Advantech has engineered the SQF 930 and ER-1 to adopt thermal glue with mechanical flexibility to avoid the risk of physical damage to SSD components during sudden temperature changes. The combination of thermal throttling design and real-time I/O adjustment can effectively balance temperature and performance, reported Advantech.

In addition, the adoption of IoT has led to unprecedented inter-connectivity and increased security concerns. The SQF 930 and ER-1 meet these challenges by protecting data stored on the SQFlash SSD with support for real-time monitoring and security at the SSD firmware level.

Advantech’s SQF 930/ER-1 PCIe Gen. 4 solutions will be available from October 2022.

Advantech’s promotes IoT hardware and software with the Edge Intelligence WISE-PaaS core. The company is also working with business partners to co-create business ecosystems.

http://www.advantech.eu

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Intel engineers Flex series GPUs for the intelligent visual cloud

Tue, Aug 30, 2022

The data centre (GPU) graphics processing codenamed Arctic Sound-M has been unveiled as the Flex series. The Flex series GPUs are designed to meet the requirements for intelligent visual cloud workloads, said Intel. The Flex 170 is designed for maximum peak performance while the Flex 140 is for maximum density.

The Flex series GPU are capable of processing up to 68 simultaneous cloud gaming streams and handle workloads without having to use separate, discrete solutions or rely on siloes or proprietary environments, said the company. This helps lower and optimise the total cost of ownership for diverse cloud workloads like media delivery, cloud gaming, AI, metaverse and other emerging visual cloud use cases.

“We are in the midst of a pixel explosion driven by more consumers, more applications and higher resolutions,” explained Jeff McVeigh, Intel vice president and general manager of the Super Compute Group, Intel. “Today’s data centre infrastructure is under intense pressure to compute, encode, decode, move, store and display visual information”.

The Flex series GPUs have what is claimed to be the first hardware-based AV1 encoder in a data centre GPU to provide five times the media transcode throughput performance and two times the decode throughput performance at half the power of the Nvidia A10 in the case of the Intel Flex series 140 GPU, for example. According to Intel, the series also delivers more than 30 per cent bandwidth improvement to save on the total cost of ownership and has broad support for popular media tools, APIs, frameworks and the latest codecs, including HEVC, AVC and VP9.

The GPUs are powered by Intel’s Xe-HPG architecture and can provide scaling of AI inference workloads from media analytics to smart cities to medical imaging between CPUs and GPUs without “locking developers into proprietary software”.

The video processing demands of video conferencing, streaming, and social media have transformed the compute resource requirements of the data centre. The increased media processing, media delivery, AI visual inference, cloud gaming and desktop virtualisation has presented a challenge for an industry largely dependent on proprietary, licensed coding models, like CUDA for GPU programming, said Intel.

The Flex series GPU software stack includes support for oneAPI and OpenVINO. Developers can use Intel’s oneAPI tools to deliver accelerated applications and services, including the Intel oneAPI Video Processing Library (oneVPL) and Intel VTune Profiler, for example. The open alternative to proprietary language lock-in enables the performance of the hardware and has a set of tools that complement existing languages and parallel models. This allows users to develop open, portable code that will take maximum advantage of various combinations across Intel CPUs and GPUs. It also means developers are not tied to proprietary programming models, which can be financially or technically restrictive, said Intel.

The Flex series GPU media architecture is powered by up to four Xe media engines, for streaming density and to deliver up to 36 streams 1080p60 transcode throughput per card. It is also capable of delivering eight streams 4K60 transcode throughput per card.

When scaled to 10 cards in a 4U server configuration, it can support up to 360 streams HEVC-HEVC 1080p60 transcode throughput.

Leveraging the Intel Deep Link Hyper Encode feature, the GPU Flex series 140 with two devices on a single card can meet the industry’s one-second delay requirement while providing 8K60 real-time transcode, reported Intel. This capability is available for AV1 and HEVC HDR formats.

To meet the growth in Android cloud gaming, the GPUs are validated on nearly 90 of the most popular Google Play Android game titles. A single Flex series 170 GPU can achieve up to 68 streams of 720p30 while a single Flex series 140 GPU can achieve up to 46 streams of 720p30 (measured on select game titles).

When scaled with six Flex Series 140 GPU cards, it can achieve up to 216 streams of 720p30.

Systems featuring Flex series GPUs will be available from providers including Dell Technologies, HPE, H3C, Inspur, Lenovo and Supermicro. Solutions with the Flex series GPU will ramp over the coming months, starting with media delivery and Android cloud gaming workloads, followed by Windows cloud gaming, AI and VDI workloads.

http://www.intel.com

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Schaffner adds two more EMC filters for robotics and data centres

Intel introduces socketed SoCs for edge and AI

SQFlash PCIe Gen.4 SSD pair deliver thermal efficiency to HPEC

Intel engineers Flex series GPUs for the intelligent visual cloud

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