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Tag Archives: AIXPRT

Answering questions about the AIXPRT Community Preview

Over the last two weeks, we’ve received a few questions about the AIXPRT Community Preview. Specifically, community members have asked about the project’s focus, possible future steps, and the results table. We decided to answer each of these here in the blog, since others are likely to have the same questions. We encourage folks to [...]

More, faster, better: The future according to Mobile World Congress 2019

More is more data, which the trillions of devices in the coming Internet of Things will be pumping through our air into our (computing) clouds in hitherto unseen quantities. Faster is the speed at which tomorrow’s 5G networks will carry this data—and the responses and actions from our automated assistants (and possibly overlords). Better is [...]

Principled Technologies and the BenchmarkXPRT Development Community release a preview of AIXPRT, a tool designed to help testers evaluate machine learning performance

Durham, NC, March 4 — Principled Technologies and the BenchmarkXPRT Development Community release the AIXPRT Community Preview. AIXPRT is a free tool that makes it easier to evaluate a system’s machine learning inference performance by running several common image-classification workloads. The AIXPRT Community Preview build includes support for the Intel© OpenVINO™, TensorFlow™, and TensorFlow with NVIDIA© TensorRT™ toolkits to [...]

All about the AIXPRT Community Preview

Last week, Bill discussed our plans for the AIXPRT Community Preview (CP). I’m happy to report that, despite some last-minute tweaks and testing, we’re close to being on schedule. We expect to take the CP build live in the coming days, and will send a message to community members to let them know when the [...]

Preparing for the AIXPRT Community Preview

Thanks to everyone who downloaded the AIXPRT Request for Comments (RFC) preview build. Next week, we’re planning to publish the AIXPRT Community Preview (CP). The AIXPRT CP build includes support for the Intel OpenVINO, TensorFlow (CPU and GPU), and TensorFlow with NVIDIA TensorRT toolkits to run image-classification workloads with ResNet-50 and SSD-MobileNet v1 networks. The test [...]

An update on the AIXPRT Request for Comments preview

As we approach the end of the original feedback window for the AIXPRT Request for Comments preview build, we want to update folks on the status of the project and what to expect in the coming weeks. First, thanks to those who’ve downloaded the AIXPRT OpenVINO package and sent in their questions and comments. We [...]