Nvidia inference microservices can deploy AI applications in minutes
Nvidia transforming AI models with Nvidia NIM (Nvidia inference microservices) so that AI applications can be deployed within minutes rather than weeks.
Browsing Tag
Inference
Facebook’s AutoScale decides if AI inference runs on your phone or in the…
In a technical paper published on Arxiv.org this week, researchers at Facebook and Arizona State University lifted the hood on AutoScale, which shares a name…
Nvidia Open Source It’s Deep Learning Inference Compiler “NVDLA”
The most part of the computing effort for deep learning inference is based on mathematical operations which can be mostly grouped into the four-part that…
Huawei details AI chips for training and inference
In a bid to establish a foothold in an AI chip market that’s anticipated to be worth $91.18 billion by 2025, Huawei today brought to market the Ascend 910, a…
Nvidia breaks records in training and inference for real-time…
Nvidia’s GPU-powered platform for developing and running conversational AI that understands and responds to natural language requests has achieved some key…
Using Inference Engines to Power AI Apps
With the demand for intelligent solutions like autonomous driving, digital assistants, recommender systems, enterprises of every type are demanding AI powered…
A novel solver for approximate marginal map inference
Figure 1. A simple Bayesian network for a system diagnosis task. Credit: IBM
There is a deep connection between planning and inference, and over the last…
Nvidia outlines inference platform, lands Japan’s industrial giants as AI,…
This article was originally published on ZDNet. Nvidia launched a hyperscale data center platform that combines the Tesla T4 GPU, TensorRT software and the…
Intel and Philips Demonstrate CPU Ability in Deep Learning Inference Test…
August 15, 2018 — Intel and Philips recently tested two healthcare uses for deep learning inference models using Intel Xeon Scalable processors and the…