Security at Nervana Part 2: Securing Data

In our previous Security post, we discussed the Root of Trust, and how it is used to create a secure, trusted environment in which to execute deep learning applications. In this post, we explore the challenges involved in securing data, and how we can build on the aforementioned hardened software [...]

By | Wednesday, September 21, 2016|Product|

Simplified ncloud syntax and other improvements to Nervana Cloud

Nervana Cloud is a full-stack hosted platform for deep learning that enables businesses to develop and deploy high-accuracy deep learning solutions at a fraction of the cost of building their own infrastructure and data science teams. We recently updated Nervana Cloud’s ncloud command-line interface (CLI) syntax to support subcommands and [...]

By | Thursday, September 8, 2016|Developer, Product|

Securing the Deep Learning Stack

This is the first post of Nervana’s “Security Meets Deep Learning” series. Security is one of the biggest concerns for any enterprise, but it’s especially critical for companies deploying deep learning solutions since datasets often contain extremely sensitive information. Fundamentally, “security” refers to the protection of a system against the [...]

By | Monday, August 1, 2016|Product|

Nervana Engine delivers deep learning at ludicrous speed!

Nervana is currently developing the Nervana Engine, an application specific integrated circuit (ASIC) that is custom-designed and optimized for deep learning. Training a deep neural network involves many compute-intensive operations, including matrix multiplication of tensors and convolution. Graphics processing units (GPUs) are more well-suited to these operations than CPUs since GPUs [...]

By | Wednesday, May 18, 2016|Product|

neon v1.4.0 released!

Highlights from this release include:  * VGG16 based Fast R-CNN model using winograd kernels * new, backward compatible, generic data loader * C3D video loader model trained on UCF101 dataset * Deep Dream example * make conv layer printout more informative [#222] * fix some examples to use new arg [...]

By | Friday, April 29, 2016|Product|

neon v1.1.5 released!

Highlights from this release include:  * CUDA kernels for lookuptable layer. This results in a 4x speedup for our sentiment analysis model example * support for determinstic Conv layer updates * custom dataset walkthrough utilizing bAbI data * reduced number of threads in deep reduction EW kernels [#171] * additional [...]

By | Monday, January 18, 2016|Product|

neon v1.1.3 released!

Highlights from this release include: * deconvolution and weight histogram visualization examples and documentation * CPU convolution and pooling layer speedups (~2x faster) * bAbI question and answer interactive demo, dataset support. * various ImageLoader enhancements. […]

By | Wednesday, December 2, 2015|Product|