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Facebook AI Model Translates Between 100 Languages Without English Data

October 20, 2020

Facebook AI Model Translates Between 100 Languages Without English Data

How DriveWorks Makes it Easy to Record and Replay Data for AV Development

October 20, 2020

How DriveWorks Makes it Easy to Record and Replay Data for AV Development

NVIDIA Releases Updates to CUDA-X AI Libraries

October 19, 2020

NVIDIA Releases Updates to CUDA-X AI Libraries

Accelerating IO in the Modern Data Center: Network IO

Accelerating IO in the Modern Data Center: Network IO

This is the second post in the Explaining Magnum IO series, which described the architecture, components, and benefits of Magnum IO, the IO subsystem of the modern data center. The first post in this series introduced the Magnum IO architecture and positioned it in the broader context of CUDA, CUDA-X, and vertical application domains. Of […]

Preferring Compile-time Errors over Runtime Errors with Vulkan-hpp

Preferring Compile-time Errors over Runtime Errors with Vulkan-hpp

One of the most important aspects in professional software development is to detect errors as early as possible. Of course, the best case would be if we couldn’t even write erroneous code. The next best thing is errors that the compiler can detect. The worst cases are runtime errors. The hardest ones are hidden in […]

Streamlining NVIDIA Driver Deployment on RHEL 8 with Modularity Streams

Streamlining NVIDIA Driver Deployment on RHEL 8 with Modularity Streams

NVIDIA GPUs have become mainstream for accelerating a variety of workloads from machine learning, high-performance computing (HPC), content creation workflows, and data center applications. For these enterprise use cases, NVIDIA provides a software stack powered by the CUDA platform: drivers, CUDA-X acceleration libraries, CUDA-optimized applications, and frameworks. Deploying the NVIDIA driver is one of the […]

Adding External Knowledge and Controllability to Language Models with Megatron-CNTRL

Adding External Knowledge and Controllability to Language Models with Megatron-CNTRL

Large language models such as Megatron and GPT-3 are transforming AI. We are excited about applications that can take advantage of these models to create better conversational AI. One main problem that generative language models have in conversational AI applications is their lack of controllability and consistency with real-world facts. In this work, we try […]

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