Unleashing Faster and More Efficient AI Research with the University of Surrey

To support its mission of being a global leader in research and innovation, the University of Surrey has long invested in state-of-the-art Computer Vision and AI research. The cutting-edge experimental platforms they use, combined with the advent of big data and AI, have increased the amount of data produced and the need to support I/O heavy workloads.

At this informal fireside chat, please join Helen Cooper, Lab Facilities Manager, from the Surrey Institute for People-Centred AI, as she shares how they are:

• Improving the experience for researchers by enabling a huge quantity of data to be accessed and processed up to 8x faster, without penalties for using small files
• Reducing their technical debt by enabling researchers to focus on the algorithms instead of the computer architecture
• Lowering their environmental impact by making more efficient use of their GPUs
• Tackling data lifecycle management challenges and eliminating the need for frequent tuning

---

Download Now!

First name*

Last name*

Work email address*

Phone*

Company name*

Job Title*

Company size* Please select 1-100 Employees 100-499 Employees 500-1000 Employees 1000-4999 Employees 5000+ Employees

Company revenue Please select 0 to 1M 1M to 2.5M 2.5M to 5M 5M to 10M 10M to 20M 20M to 50M 50M to 100M 100M to 500M 500M to 1B >1B

Industry Please select Aerospace & Defense Business Services Consumer Goods / Electronics Digital Agency / Web Development / SI Education Energy & Utilities Financial Services Food & Beverage Government - Federal Government - State / Local Healthcare High Tech Software / Services Manufacturing / Engineering Media and Entertainment Non-profit / NGO Pharmaceuticals Publishing Retail Travel & Transportation Telecommunications

Country*

Postal Code

Submit