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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Specifically designed to deploy AI seamlessly across all types of data, our solution maximizes the potential of your unstructured information, enabling you to access, prepare, train, optimize, and implement AI without constraints. We have integrated our top-tier file and object storage options, such as PowerScale, ECS, and ObjectScale, with our PowerEdge servers and a contemporary, open data lakehouse framework. This combination empowers you to harness AI for your unstructured data, whether on-site, at the edge, or in any cloud environment, ensuring unparalleled performance and limitless scalability. Additionally, you can leverage a dedicated team of skilled data scientists and industry professionals who can assist in deploying AI applications that yield significant benefits for your organization. Moreover, safeguard your systems against cyber threats with robust software and hardware security measures alongside immediate threat detection capabilities. Utilize a unified data access point to train and refine your AI models, achieving the highest efficiency wherever your data resides, whether that be on-premises, at the edge, or in the cloud. This comprehensive approach not only enhances your AI capabilities but also fortifies your organization's resilience against evolving security challenges.

Description

Businesses now have numerous options to efficiently train their deep learning and machine learning models without breaking the bank. AI accelerators cater to various scenarios, providing solutions that range from economical inference to robust training capabilities. Getting started is straightforward, thanks to an array of services designed for both development and deployment purposes. Custom-built ASICs known as Tensor Processing Units (TPUs) are specifically designed to train and run deep neural networks with enhanced efficiency. With these tools, organizations can develop and implement more powerful and precise models at a lower cost, achieving faster speeds and greater scalability. A diverse selection of NVIDIA GPUs is available to facilitate cost-effective inference or to enhance training capabilities, whether by scaling up or by expanding out. Furthermore, by utilizing RAPIDS and Spark alongside GPUs, users can execute deep learning tasks with remarkable efficiency. Google Cloud allows users to run GPU workloads while benefiting from top-tier storage, networking, and data analytics technologies that improve overall performance. Additionally, when initiating a VM instance on Compute Engine, users can leverage CPU platforms, which offer a variety of Intel and AMD processors to suit different computational needs. This comprehensive approach empowers businesses to harness the full potential of AI while managing costs effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Accenture AI Refinery
Adobe Acrobat
Cloudera
Dell EMC PowerScale
Delta Lake
Evoltsoft
Flywheel
Galileo
Google Cloud Composer
Google Cloud TPU
Google Cloud VMware Engine
Meta AI
Microsoft 365
NVIDIA DRIVE
Pangiam Project DARTMOUTH
Snowflake
Splunk Cloud Platform
Steamship
Syntho
Vertex AI

Integrations

Accenture AI Refinery
Adobe Acrobat
Cloudera
Dell EMC PowerScale
Delta Lake
Evoltsoft
Flywheel
Galileo
Google Cloud Composer
Google Cloud TPU
Google Cloud VMware Engine
Meta AI
Microsoft 365
NVIDIA DRIVE
Pangiam Project DARTMOUTH
Snowflake
Splunk Cloud Platform
Steamship
Syntho
Vertex AI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dell

Founded

1984

Country

United States

Website

www.dell.com/en-us/dt/solutions/artificial-intelligence/storage-for-ai.htm

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/ai-infrastructure

Product Features

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

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