Dashboard

Find Content

Refine Results
Related Content

Selected Filters

  • 1674 Results
  • Items Per Page

Let’s Talk Computing Energy Efficiency

MythBusters’* Adam Savage and Jaime Hyneman talk about the computing energy efficiency evolution.

Intel and VMware: Server Virtualization Enables Energy Efficiency

VMware’s Steve Herrod and Intel’s Doug Fisher talk about energy efficient virtualization solutions, delivering performance, reliability, and security.

Intel® Cache Acceleration Software Demo with Dell and Autodesk*

Demos large workload performance with Intel® Cache Acceleration Software and an Intel® SSD on Dell Precision* workstations running Autodesk* 2014.

Intel® Enterprise Edition for Lustre* Simplifies HPC Storage

Demos HPC cluster remote manageability using Intel® Enterprise Edition for Lustre* software, enabling data center monitoring for scalable utilization.

Intel Perspective on Oracle OpenWorld 2012 (OOW)

Get an overview of what Intel and Oracle are doing together in big data analytics, database, Solaris*, Java*, Exadata X3*, and engineered systems.

Visualizing Sustainable Energy: Big Data

As part of the Pecan Street demonstration project, Intel-based servers analyze big data from each building in the Mueller community in Austin, Texas.

Intel and Oracle Engineered Systems for Big Data

Intel and Oracle work together to help you acquire, organize, and analyze the flood of structured and unstructured big data coming into your business.

Intel Peer Research Video: Big Data Analysis

Video offering key findings of a survey on big data analysis including a perspective on how the IT industry can help organizations to move forward.

Chalk Talk: Virtualization and Energy Efficiency

VMware’s Ben Matheson and Intel’s Jake Smith conduct a whiteboard discussion on virtualization enabling energy efficient server environments.

IBM Storwize* V7000Z with Intel® QuickAssist Technology

Reduce costs and improve speeds with the IBM Storewize* V7000Z storage solution with Intel® QuickAssist Technology and IBM Real-time Compression*.