Deep LearningNVXL, with its massively scalable, software-defined acceleration platform, is shattering the boundaries to enable the next generation of deep learning applications.
Machine LearningMachine Learning uses compute-intensive algorithms and advanced statistical techniques to enable software applications and computing systems to “learn” with data, and to achieve the prediction of outcomes with a high level of accuracy without being explicitly programmed.
TranscodingThe NVXL acceleration platform integrates seamlessly with transcoding frameworks such as FFMPEG and implements a model and pipeline parallel architecture using dynamically provisioned instances created from a pool of acceleration devices.
- Universal Acceleration Server
NVXL has very unique technologies that could be a game changer for cloud computing platforms. They have drawn significant interests from major tech companies and cloud service providers.
Intel FPGAs provide unprecedented flexibility to accelerate the ever-growing number of innovative algorithms driving deep learning, artificial intelligence and many other compute acceleration tasks. NVXL is helping to bring that flexibility to the Data Center and to the Cloud.