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Average Ratings 0 Ratings

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features
design
support

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Description

Develop, train, and implement your models in the cloud by utilizing cutting-edge IPU AI systems alongside your preferred frameworks, partnering with our cloud service providers. This approach enables you to reduce compute expenses while effortlessly scaling to extensive IPU resources whenever required. Begin your journey with IPUs now, taking advantage of on-demand pricing and complimentary tier options available through our cloud partners. We are confident that our Intelligence Processing Unit (IPU) technology will set a global benchmark for machine intelligence computation. The Graphcore IPU is poised to revolutionize various industries, offering significant potential for positive societal change, ranging from advancements in drug discovery and disaster recovery to efforts in decarbonization. As a completely novel processor, the IPU is specifically engineered for AI computing tasks. Its distinctive architecture empowers AI researchers to explore entirely new avenues of work that were previously unattainable with existing technologies, thereby facilitating groundbreaking progress in machine intelligence. In doing so, the IPU not only enhances research capabilities but also opens doors to innovations that could reshape our future.

Description

NVIDIA AI Enterprise serves as the software backbone of the NVIDIA AI platform, enhancing the data science workflow and facilitating the development and implementation of various AI applications, including generative AI, computer vision, and speech recognition. Featuring over 50 frameworks, a range of pretrained models, and an array of development tools, NVIDIA AI Enterprise aims to propel businesses to the forefront of AI innovation while making the technology accessible to all enterprises. As artificial intelligence and machine learning have become essential components of nearly every organization's competitive strategy, the challenge of managing fragmented infrastructure between cloud services and on-premises data centers has emerged as a significant hurdle. Effective AI implementation necessitates that these environments be treated as a unified platform, rather than isolated computing units, which can lead to inefficiencies and missed opportunities. Consequently, organizations must prioritize strategies that promote integration and collaboration across their technological infrastructures to fully harness AI's potential.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

302.AI No 
AI-Q NVIDIA Blueprint No 
Accenture AI Refinery No 
Cirrascale Yes 
Cryptiva No 
Dataoorts GPU Cloud No 
Keras Yes 
LiteLLM No 
Maia No 
NVIDIA Base Command Manager No 
NVIDIA Blueprints No 
NVIDIA DGX Cloud No 
NVIDIA Llama Nemotron No 
NVIDIA NIM No 
NVIDIA TensorRT No 
Netdata No 
Rendered.ai No 
Saturn Cloud No 
Sesterce No 
TensorFlow Yes 

Integrations

302.AI Yes 
AI-Q NVIDIA Blueprint Yes 
Accenture AI Refinery Yes 
Cirrascale No 
Cryptiva Yes 
Dataoorts GPU Cloud Yes 
Keras No 
LiteLLM Yes 
Maia Yes 
NVIDIA Base Command Manager Yes 
NVIDIA Blueprints Yes 
NVIDIA DGX Cloud Yes 
NVIDIA Llama Nemotron Yes 
NVIDIA NIM Yes 
NVIDIA TensorRT Yes 
Netdata Yes 
Rendered.ai Yes 
Saturn Cloud Yes 
Sesterce Yes 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Graphcore

Founded

2016

Country

United Kingdom

Website

www.graphcore.ai/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/products/ai-enterprise/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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