May 17, 2020

HPE incorporates AI engine into data centre management

hpe
Hewlett Packard Enterprise
data centre
AI
Jonathan Dyble
2 min
Data centre
Hewlett Packard Enterprise (HPE) has unveiled its new artificial intelligence recommendation engine, designed to improve infrastructure management and a...

Hewlett Packard Enterprise (HPE) has unveiled its new artificial intelligence recommendation engine, designed to improve infrastructure management and application reliability within data centres.

The new capabilities have been added to HPE InfoSight, an industry leading predictive analytics platform that brings software intelligence applications to data centre management.

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InfoSights works by analysing millions of sensors globally, using data to predict problems and find solutions across its entire infrastructure network. The firm claims that this can offer a 99.9999% guaranteed reliability, in addition to it fixing infrastructure problems 85% faster.

“HPE InfoSight marks the first time a major storage vendor has been able to predict issues and proactively resolve them before a customer is even aware of the problem,” said Bill Philbin, Senior Vice President, HPE GM Storage.

“As applications increasingly drive today’s businesses, we need to help customers move toward a self-managing IT model. HPE InfoSight enables IT to spend more time on projects that add value to the business rather than on troubleshooting issues.”

The new technology highlights a milestone in the company’s attempt to create a fully autonomous data centre through the use of machine learning.

“InfoSight's predictive analytics have saved us from potentially impactful issues,” said Justin Giardina, CTO, iland Secure Cloud. “And the new recommendation engine is phenomenal as it’s making proactive decisions, showing us how we can improve our environment.”

HPE InfoSight with the new AI recommendation engine will become available in January 2018.

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Jun 23, 2021

Timeline: Nvidia

Nvidia
graphics
AI
enterprise
2 min
As Nvidia ramps up to activate its AI solutions, we take a look at the company’s history

1993 – Founding

Jensen Huang from AMD, and Chris Malachowsky and Curtis Priem from Sun Microsystems, saw a market to improve graphics performance with dedicated hardware. They sensed that computer games would become a huge market and set out with $40,000 to found Nvidia.

1993 – Funding

Having named the company after a file-naming system they had devised, the trio needed funding, which came in the shape of a $20 million venture capital round led by Sequoia Capital. 

1998 – Breakthrough

Nvidia had some success but their breakthrough would come with the introduction of the RIVA TNT graphics adapter. The following year, the company released the GeForce 256, which had on-board transformation and lighting. The GeForce comfortably led competitors.

2000s – success

Nvidia won the contract to develop graphics hardware for Microsoft’s Xbox and would go on to provide similar services to Sony for the Playstation 3. A slew of acquisitions and awards made Nvidia a household name in graphics.

2020 – Cambridge-1

The benefits of using the awesome power of graphics hardware to process other data was not lost on Nvidia, which announced plans to build the Cambridge-1, the UK’s most powerful computer. The company’s future in AI hardware development is virtually secure.

Photo credit: Nvidia

 

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