Developer Resources from Intel and Netflix*
Netflix* delivers seamless, on-demand content to its global customers through a reliable, highly-scalable, AI-ready cloud solution. Working with Intel, it optimized Amazon EC2* instances at the microarchitecture level to improve performance and reduce cloud spend.
- Gained 3.5x performance improvement per CPU. Achieved reduced latency with the upgraded EC2 instances supported by Intel® Xeon® processors.
- Achieved significant improvement in frame-per-second video encoding using Intel® oneAPI Deep Neural Network Library and Intel® Advanced Vector Extensions.
- Used Intel® VTune™ Profiler to identify bottlenecks in code segments for optimal use of processor time.
"To ensure our customers have the best experiences with our streaming service, speed counts. Using Intel technologies to identify bottlenecks, we nearly tripled the performance of our Amazon EC2 instances while minimizing our cloud spend."
— Vadim Filanovsky, performance engineer at Netflix
Intel® oneAPI Base Toolkit
Develop high-performance, data-centric applications for CPUs, GPUs, and FPGAs with this core set of tools, libraries, and frameworks including LLVM*-based compilers.
Download the Stand-Alone Version
Improve deep learning (DL) application and framework performance on CPUs and GPUs with highly optimized implementations of DL building blocks.
Download the Stand-Alone Version
Find and fix performance bottlenecks and optimize application and system performance and configuration for HPC, cloud, IoT, media, storage, and more.