Big Growth Areas: Connectivity, AI, Reliability


Connectivity and artificial intelligence (AI) will be the biggest drivers for 2020, with an emphasis on improved reliability across all areas. New standards, new applications, and new pressures being placed on old technology will created boundless opportunities for those ready to fill the need. Of course, there will also be a lot of carnage along the way, and we can expect to see a lot of that ... » read more

Where Is The eFPGA Market And Ecosystem Headed?


In this article we’ll discuss the availability of eFPGA, the applications for eFPGA and the current and future market size for eFPGA. eFPGA vendors & offerings Embedded FPGA is a new development this decade. There are now multiple vendors offering eFPGA on a wide range of process nodes with multiple customers. eFPGA Vendors Menta has had eFPGA available for the longest: their offe... » read more

Week In Review: Design, Low Power


Rambus finalized its acquisition of the silicon IP, secure protocols and provisioning business from Verimatrix, formerly Inside Secure, for $45 million at closing, and up to an additional $20 million, subject to certain revenue targets in 2020. RISC-V SiFive unveiled two new product families. The SiFive Apex processor cores target mission-critical processors with Size, Weight, and Power (SW... » read more

Week in Review: IoT, Security and Automotive


Internet of Things Western Digital Corp. and Codasip are working together on Western Digital’s SweRV Core EH1, which is a RISC-V core with a 32-bit, dual superscalar, 9-stage pipeline architecture. The core, launched earlier this is aimed at embedded devices supporting data-intensive edge applications, such as storage controllers, industrial IoT, real-time analytics in surveillance systems, ... » read more

Defining And Improving AI Performance


Many companies are developing AI chips, both for training and for inference. Although getting the required functionality is important, many solutions will be judged by their performance characteristics. Performance can be measured in different ways, such as number of inferences per second or per watt. These figures are dependent on a lot of factors, not just the hardware architecture. The optim... » read more

MLPerf Benchmarks


Geoff Tate, CEO of Flex Logix, talks about the new MLPerf benchmark, what’s missing from the benchmark, and which ones are relevant to edge inferencing. » read more

Where Is The Edge AI Market And Ecosystem Headed?


Until recently, most AI was in datacenters and most was training. Things are changing quickly. Projections are AI sales will grow rapidly to $10s of billions by the mid 2020s, with most of the growth in Edge AI Inference. Edge inference applications Where is the Edge Inference market today? Let’s look at the markets from highest throughput to lowest. Edge Servers Recently Nvidia annou... » read more

Using FPGAs For AI


Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Modeling AI Inference Performance


The metric in AI Inference that matters to customers is either throughput/$ for their model and/or throughput/watts for their model. One might assume throughput will correlate with TOPS, but you’d be wrong. Examine the table below: The Nvidia Tesla T4 gets 7.4 inferences/TOP, Xavier AGX 15 and InferX 1 34.5. And InferX X1 does it with 1/10th to 1/20th of the DRAM bandwidth of the ... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

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