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January 15, 2021
How XSplit Delivers Rich Content for Live Streaming with NVIDIA Broadcast
January 12, 2021
RAPIDSFire Podcast: Cybersecurity Data Science with Rachel Allen and Bartley Richardson
January 12, 2021
Jetson Project of the Month: Driver Assistance System Using Jetson Nano
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November 2020
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Detecting Out-of-Band Malware with NVIDIA BlueField DPU
In an era where cyberthreats are around every corner and with increasing attacks on data centers, security has become an essential element to include in every machine guarding user data. However, many security offerings are defenseless in the presence of malware. Furthermore, software-based security consumes compute and memory resources that should be allocated to users. […]
Training Your JetBot in NVIDIA Isaac Sim
How do you teach your JetBot new tricks? In this post, we highlight NVIDIA Isaac Sim simulation and training capabilities by walking you through how to train the JetBot in Isaac Sim with reinforcement learning (RL) and test this trained RL model on NVIDIA Jetson Nano with the real JetBot. Goal The goal is to […]
Making Apache Spark More Concurrent
Apache Spark provides capabilities to program entire clusters with implicit data parallelism. With Spark 3.0 and the open source RAPIDS Accelerator for Spark, these capabilities are extended to GPUs. However, prior to this work, all CUDA operations happen in the default stream, causing implicit synchronization and not taking advantage of concurrency on the GPU. In […]
Training a Text2Sparql Model with MK-SQuIT and NeMo
Across several verticals, question answering (QA) is one of the fastest ways to deliver business value using conversational AI. Informally, QA is the task of mapping a user query to an answer from a given context. This open-ended definition is best understood through an example: Question: Where are the headquarters of NVIDIA?Context: “NVIDIA Corporation (en-VID-ee-\u0259) […]
