Remove Machine Learning Remove Performance Remove Scalability Remove Storage
article thumbnail

Scaling Media Machine Learning at Netflix

Netflix Tech

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Even after gaining access, one needed to deal with the challenges of homogeneity across different assets in terms of decoding performance, size, metadata, and general formatting.

article thumbnail

High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. It provides a powerful and scalable platform for executing large-scale batch jobs with minimal setup and management overhead.

AWS 147
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

article thumbnail

Comparing production-grade NLP libraries: Accuracy, performance, and scalability

O'Reilly Media - Data

A comparison of the accuracy and performance of Spark-NLP vs. spaCy, and some use case recommendations. In this part, we compare the accuracy and performance of both libraries on this and additional benchmarks, and provide recommendations on which use cases fit each library best. Performance. Training scalability.

article thumbnail

Unify your data: AI and Analytics in an Open Lakehouse

Cloudera

Here’s what implementing an open data lakehouse with Cloudera delivers: Integration of Data Lake and Data Warehouse : An open data lakehouse brings together the best of both worlds by integrating the storage flexibility of a data lake with the query performance and structured querying capabilities of a data warehouse.

article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

article thumbnail

The impact of AI on edge computing

CIO

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. over the 2023-2027 forecast period 1.