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来源:LM317 Electronics Components编辑:Insignis Technology Corporation时间:2021-06-14 03:56:57

NVMe’s rise and expansion as a standard over the past decade, including NVMe Over Fabric, is due in large part to its ability to fully unleash the performance of NAND flash in SSDs. According to the Data Center Storage Equipment Market Tracker from IHS Markit for the second quarter of 2019, the overall all-flash array storage segment decreased quarter over quarter, but all-flash NVMe-drive based versions rose. The research firm reported that revenue rose during the quarter for performance-optimized arrays, a new category based on flash NVMe drives, while revenue fell for all flash performance arrays, which is the larger category based on SAS drives.

In 2020, Sigfox said will complete its WAN coverage as a result of its partnership with Eutelsat, which will be launching a constellation of nanosatellites. This satellite constellation will deliver connectivity across the entire globe, bolstering coverage already provided by Sigfox’s network.

More accurate GPS and WiFi geolocation Sigfox announced two complementary new offers to enhance accuracy of its geolocation services: Atlas Native and Atlas WiFi.

CMF5575R000BERE_Vishay Dale

Launched in January 2017, Atlas Native was the first Sigfox geolocation service solely based on the Sigfox network, available for every device equipped with the simplest Sigfox module — without the need for GPS or other additional hardware/software components. Now, solution makers with GPS-devices will be able to use the Atlas Native Complimentary service free of charge in exchange for data processing rights. Using this GPS location data and comparing with the Sigfox network fingerprints, the machine learning algorithms used to compute Atlas can reduce the uncertainty of the real” location of the asset and improve geolocation accuracy, down to 800 meters.

The second geolocation announcement is the completion of the global rollout of Sigfox’s Atlas WiFi service in partnership with Here Technologies, creating a global location service opening up new opportunities for IoT applications, particularly in supply chain and logistics. Atlas WiFi takes advantage of Here Technologies’ global database of WiFi access points, which can now be queried by Sigfox WiFi trackers and, by reporting the unique MAC addresses to the cloud, generating a more accurate asset position, and a seamless outdoor and indoor geolocation service.  As determining WiFi-based location consumes less battery than using GPS, Atlas WiFi can also help enhance the life from battery-based IoT tracking solutions.

Luggage tracking alliance and gas meters in Japan Every year, airports and airlines handle billions of pieces of luggage and packages which are often lost, damaged or delayed, leading to financial losses for the whole value chain, a lack of operational efficiency, and increasing dissatisfaction for travelers. Meanwhile, existing tracking technologies require expensive infrastructure updates (such as gates and readers), and provide limited interoperability and geolocation capabilities. In parallel, regulation like the new IATA Resolution 753 on luggage tracking will impose stricter tracking and increased visibility requirements to reduce luggage loss rates.

CMF5575R000BERE_Vishay Dale

With this in mind, Sigfox and Amadeus, a provider of travel and tourism industry IT solutions, announced a new strategic partnership to develop a portfolio of solutions to meet the need for efficient asset tracking solutions, as well as reduce operational challenges for airports and airlines.

One such solution is PinPoint, an end-to-end tracking solution for the air transportation industry, initially targeting airports and airlines with trackers optimally designed, connected and communicating through the Sigfox global network. Through reusable tags placed on luggage, proximity sensors installed across airports and Sigfox global coverage, airlines will be able to monitor luggage, accurately tracking its location and detecting anomalies. For high-value assets, airlines will be able to use the technology to collect data that will help report movement and loss of those assets.

CMF5575R000BERE_Vishay Dale

Meanwhile, Sigfox also talked about its Bubble technology, a beaconing solution enabling proximity detection, to be developed and deployed in collaboration with new partner Alps Alpine, an electronics components manufacturer. By managing the emission power, Sigfox cloud adapts the range of the Bubble, from less than one meter to a few tens of meters, improving the accuracy of the device’s location. When entering a Bubble cell, Sigfox devices and associated assets share their identification to the cloud providing a highly accurate location for each asset.

For the first time this November, a major cloud service provider offered customers the opportunity to run their workloads on AI accelerator hardware designed and built by one of this segment’s many startups. Microsoft said that it had been working with GraphCore for two years to develop systems around Graphcore’s IPU chip, which it now offers to customers as part of Azure.

Microsoft noted that Azure’s GraphCore hardware is reserved for customers pushing the boundaries of machine learning,” and certainly, the performance advantage GraphCore’s accelerator offers seems more pronounced for futuristic neural network types. So it’s probably safe to say that GraphCore’s IPU won’t be powering shopping website recommendations or chatbots any time soon.

MLPerf Inference Scores

Also in November, the first round of benchmark scores for AI inference were released by the industry’s well-known AI benchmarking organisation, MLPerf. Given the landscape of chip giants and startups all claiming some performance advantage in this sector, the results finally began to reveal who is winning the race. GPU giant Nvidia took most of the prizes, but close on its heels was Israeli startup Habana Labs. Which brings us to…

Intel acquires Habana Labs

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