Smart Data Collective

SEPTEMBER 2, 2021

Better yet, it supports level-3 GPU acceleration technology. This lightweight yet all-in-one video processing program is raved about for being able to convert media files from 370+ popular and rare formats to 420+ others. This well explains why VideoProc Converter can convert, compress, or edit hours of 4K videos in minutes or even less.

Big Data 265

Big Data Innovation Data Analytics Data Analytics 265

Smart Data Collective

JUNE 14, 2019

It unlocks the potential of the GPU and improves your usual gaming performance, making it more fun. MSI Afterburner. In case you want your graphics card to show what it can do, MSI Afterburner is the program that could help you achieve that. But still, make sure you have a cooling unit in place, as you don’t want to overheat the component.

Big Data 244

Big Data Data Analytics Data Analytics 244

Smart Data Collective

FEBRUARY 20, 2022

Also, developers can connect GPU clusters or compute-optimized instances to AWS Deep Learning Amazon Machine Images (AMIs) to create and train custom AI models. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Messages and notification.

Cloud Computing 288

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Smart Data Collective

JUNE 7, 2019

However, recent advances in applying transfer learning to NLP allows us to train a custom language model in a matter of minutes on a modest GPU, using relatively small datasets,” writes author Euan Wielewski. Project managers should be aware of the changes that machine learning has brought to task management applications.

Artificial Intelligence 195

Artificial Intelligence Project Management Logistics Monitoring 195

Whizlabs

NOVEMBER 26, 2020

The compute optimized snowball devices also have block and object storage capabilities but they come with 52 vCPUs and an optional GPU if the use case needs one. Examples of use cases where the GPU will be needed is in machine learning or in storage environments that don’t have stable connectivity (e.g. maritime solutions).

Logistics 52

Logistics Banking Cloud Computing Documentation 52

Sisense

MARCH 4, 2019

Large batches of data can be approximated by the DNN which utilize concurrent processing in a Graphical Processing Unit (GPU). This provides users with a fast, scalable inference layer above the data that they can interactively query to get actionable insights.

Big Data 68

Big Data Data Analytics Data Analytics 68

Sisense

JUNE 1, 2020

But there was something special about NVIDIA’s GPU Technical Conference (GTC) Digital 2020. Instead, they have scaled up virtual events and virtual conferences. For example, Adobe Summit and Digital Experience Conference recently took place online.

Digital 72

Digital Embedded Analytics Digital Transformation 72

Smart Data Collective

MARCH 22, 2023

Point-E takes one to two minutes to generate models on a single Nvidia V100 GPU, and produces point clouds rather than traditional 3D shapes. This model was created by OpenAI and it was built as an open-source platform created with Point-E. Point-E is an AI system that creates 3D objects from text prompts.

Visualization 240

Visualization Artificial Intelligence 240

GAVS Technology

AUGUST 17, 2021

GPU acceleration. With the integration of the Graphics Processing Unit (GPU) into their existing VDI technology, organizations can meet the demands of the increasing workload and user needs. If the system struggles to get the necessary network resources, performance will be impacted. Solid State Drives.

User Experience 76

User Experience Monitoring 76

Watermark Learning

JANUARY 5, 2023

Recent advances in Machine Learning and GPU Cloud Computing have allowed for the creation of models that can take in text input and generate output in a completely different modality. removing organizational impediments). Data Science. Text-to-Anything Models.

Project Management 52

Project Management Agile Cloud Computing Digital 52

Dataversity

DECEMBER 16, 2020

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis.

Vision 246

Vision Big Data Cloud Computing Data Architecture 246

Dataversity

DECEMBER 15, 2020

Click to learn more about author James Brear. This has been a wild year for e-commerce. Online shopping was already growing steadily each year heading into 2020, but the COVID-19 pandemic sent more consumers than ever before to the Internet. Virtually every retail sector – from furniture to medical supplies to electronics to food and […].

E-Commerce 130

E-Commerce Retail 130

Marutitech

APRIL 1, 2022

Devices needed to implement an automated visual inspection system may vary depending on the industry and automation. Some of them are: a] Camera: Real-time video streaming is the essential camera choice.

Visualization 52

Visualization Vision Artificial Intelligence Supply Chain 52

InfoQ Articles

MARCH 10, 2022

GPUs, FPGAs, or multi-core CPUs are present in almost every computing system today. These devices help increase performance and run more efficient workloads, but most frameworks are built on C or C++ only.

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