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als RSS Feed abonnieren📚 Intel Details Chips Designed For IoT and Edge Workloads
💡 Newskategorie: IT Security Nachrichten
🔗 Quelle: hardware.slashdot.org
Intel today announced the launch of new products tailored to edge computing scenarios like digital signage, interactive kiosks, medical devices, and health care service robots. From a report: The 11th Gen Intel Core Processors, Atom x6000E Series, Pentium, Celeron N, and J Series bring new AI security, functional safety, and real-time capabilities to edge customers, the chipmaker says, laying the groundwork for innovative future applications. Intel expects the edge market to be a $65 billion silicon opportunity by 2024. The company's own revenue in the space grew more than 20% to $9.5 billion in 2018. And according to a 2020 IDC report, up to 70% of all enterprises will process data at the edge within three years. To date, Intel claims to have cultivated an ecosystem of more than 1,200 partners, including Accenture, Bosch, ExxonMobil, Philips, Verizon, and ViewSonic, with over 15,000 end customer deployments across "nearly every industry." The 11th Gen Core processors -- which Intel previewed in early September -- are enhanced for internet of things (IoT) use cases requiring high-speed processing, computer vision, and low-latency deterministic processing, the company says. They bring an up to 23% performance gain in single-threaded workloads, a 19% performance gain in multithreaded workloads, and an up to 2.95 times performance gain in graphics workloads versus the previous generation. New dual video decode boxes allow the processors to ingest up to 40 simultaneous video streams at 1080p up to 30 frames per second and output four channels of 4K or two channels of 8K video. According to Intel, the combination of the 11th Gen's SuperFin process improvements, miscellaneous architectural enhancements, and Intel's OpenVINO software optimizations translates to 50% faster inferences per second compared with the previous 8th Gen processor using CPU mode or up to 90% faster inferences using the processors' GPU-accelerated mode.
Read more of this story at Slashdot.
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