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К сожалению, данный материал на выбранном языке не доступен. Мы постоянно работаем над расширением контента, предоставляемого пользователю на выбранном языке. Благодарим вас за терпение!
Companies involved in the development of autonomous vehicles need a single repository to store data in support of the autonomous development lifecycle. With Data Management, Processing & Analytics solutions, pipelines are created to perform analytics, cataloging, and ETL functions to prepare the data for labeling, machine learning, and simulation. These solutions give companies a flexible and scalable data flywheel, in which categorized data continues to feed workloads that become increasingly iterative with each stage, optimizing model development, simulation, testing, and validation.
Scene Intelligence with Rosbag is an AWS Solution that walks you through the steps to extract sensor data and apply object detection using custom business logic.
TCS Mobility Suite Smart Validation on AWS is an End-to-end simulation-based validation solution for automated driving systems (ADS) that can identify edge cases, maximize test coverage and automate test suite execution. Smart Validation tool helps the user design their tests, uses AI/ML techniques to identify edge cases, enables simulator agnostic execution and provides the user with a view to analyze the results.
Edge-to-core-to-cloud DataOps for large-scale, multi-site AI pipelines. Proven at leading Auto OEMs and suitable for all high-end AI environments, Akridata reduces time to access the right data by 10X, cutting down compute and storage costs by 4X and doubling data science/ML productivity.
Simple, collaborative and open platform: This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It’s built on open source and open standards to maximize flexibility.
Automate and replicate petabyte scale unstructured data and meta data to AWS S3 using Data Migrator with zero business disruption and zero data loss. Whether on prem to cloud, hybrid, cloud to cloud or region to region changes at the source will happen in near real time in S3.
The WEKA Data Platform provides a software-defined high-performance Parallel file system that combines the economics and scale of the cloud with unmatched performance. WEKA software runs on a cluster of Amazon EC2 compute instances and combines the high-performance NVMe flash storage available in those instances with low-cost Amazon S3 object storage in a single namespace. The zero-tuning architecture in the WEKA Data Platform enables users to meet the performance profile of any workload in their environment and optimize it for high I/O, high throughput, or low latency. This unique approach enables customers to affordably run their most performance-intensive workloads on AWS.
Autonomy is a clear direction for our transportation systems, be it mass or personal transit. Physically and virtually evaluating these new vehicles in a live environment ensures rigorous and detailed feedback, giving engineers greater confidence in their design decisions.