Category: AWS Snowball

The field of meteorology has long relied on computational models to predict weather patterns. The advent of High-Performance Computing (HPC) and machine learning (ML) mean that these predictions have become more accurate and reliable. This post outlines the steps for deploying an HPC cluster for weather forecasting on the Amazon Web Services (AWS) Cloud. We […]

Rivian, a leading electric adventure vehicle brand, has built its reputation through a relentless focus on customers, as evidenced by their frequent vehicle software updates to enhance their customer experience. The Rivian R1 Gen 2 electric vehicle features an advanced autonomy platform equipped with 55-megapixel High Dynamic Range (HDR) cameras, five radars, and over 200 […]

Background Autonomous driving and advanced driver assistance systems (ADASs) require the processing of large and complex workloads in near real time. These workloads typically include tasks such as object detection and classification, lane detection, sensor fusion, path planning, and decision-making. The data from various sensors needs to be processed rapidly to enable the vehicle to […]

Virtual Network Interfaces (VNI) on Snowball Edge (SBE) are used for connecting your EC2 instances to your local area network (LAN). One can think of a VNI as a 1:1 entry in a NAT table (Network Address Translation). The VNI is associated to an instance (and its corresponding private IP address). Let’s take an example […]

Overview There’s a global race underway to bring machine learning (ML) techniques to knowledge workers across every industry that extracts insights from data. Oil and gas is no exception. Many exploration and production (E&P) operators and service companies are exploring the technology to help illuminate patterns in seismic data where fuzzy pattern recognition is at […]