TensorRT

Startup Uses AI to Generate Sports Highlights

Artificial Intelligence, Machine Learning & Artificial Intelligence, TensorRT, Tesla

At the GPU Technology Conference in San Jose, California this week, Southern California-based startup REELY, showed off their deep learning platform that automatically generates sports highlights in real-time.

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NVIDIA Announces New Software and Updates to CUDA, Deep Learning SDK and More

Accelerated Computing, Artificial Intelligence, Features, Robotics, Cloud, CUDA, cuDNN, Jetson, Machine Learning & Artificial Intelligence, TensorRT

At the GPU Technology Conference, NVIDIA announced new updates and software available to download for members of the NVIDIA Developer Program.

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TensorRT Integration Speeds Up TensorFlow Inference

Accelerated Computing, Artificial Intelligence, Deep Learning, Develpment Tools & LIbraries, Software, TensorFlow, TensorRT

Update, May 9, 2018: TensorFlow v1.7 and above integrates with TensorRT 3.0.4. NVIDIA is working on supporting the integration for a wider set of configurations and versions. We’ll publish updates when these become available.

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Teaching Cameras to Read Body Language with AI

Artificial Intelligence, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, TensorRT, Tesla

At GTC 2018 in San Jose, California, AI developers from all over the world come to demo their work.

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NVIDIA JetPack 3.2 Production Release Now Available

Features, Robotics, Autonomous, CUDA, cuDNN, Machine Learning & Artificial Intelligence, TensorRT

JetPack 3.2 with L4T R28.2 is the latest production software release for NVIDIA Jetson TX2, Jetson TX2i and Jetson TX1.

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NVIDIA’s 2017 Open-Source Deep Learning Frameworks Contributions

Artificial Intelligence, Cloud, CUDA, cuDNN, Development Tools & Libraries, Machine Learning & Artificial Intelligence, TensorRT, Tesla

Many may not know, NVIDIA is a significant contributor to the open-source deep learning community. How significant? Let’s reflect and explore the highlights and volume of activity from last year.

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Fast INT8 Inference for Autonomous Vehicles with TensorRT 3

Artificial Intelligence, Autonomous Vehicles, Automotive, Machine Learning & Artificial Intelligence, TensorRT

Autonomous driving demands safety, and a high-performance computing solution to process sensor data with extreme accuracy.

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NVIDIA SDK Updated With New Releases of TensorRT, CUDA, and More

Accelerated Computing, Artificial Intelligence, Features, Robotics, Cloud, CUDA, cuDNN, Higher Education/Academia, Machine Learning & Artificial Intelligence, TensorRT, Tesla

At NIPS 2017, NVIDIA announced new software releases for deep learning and HPC developers.  The latest SDK updates include new capabilities and performance optimizations to TensorRT, CUDA toolkit and the new project CUTLASS library.

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RESTful Inference with the TensorRT Container and NVIDIA GPU Cloud

Artificial Intelligence, Features, Cloud, Data Center, Machine Learning & Artificial Intelligence, TensorRT

Once you have built, trained, tweaked and tuned your deep learning model, you need an inference solution that you need to deploy to a datacenter or to the cloud, and you need to get the maximum possible performance.

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NVIDIA Deep Learning Inference Platform Performance Study

Artificial Intelligence, Cloud, Cluster/Supercomputing, CUDA, Machine Learning & Artificial Intelligence, TensorRT, Tesla

The NVIDIA deep learning platform spans from the data center to the network’s edge.

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