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Anupam Gupta Jul 19
How bad/good are protobuf Python/C++ implementations? With the pure Python implementation, model load time: 240 +/-5 seconds. With the C++ implementation, same model loads (same code) in 0.85 +/- 0.5 seconds. Benchmarked on Jetson Nano.
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Felix E. Vargas Q. Jul 14
is using Nvidia TensorRT to accelerate the deployment process, from AI training platforms, into real working environments. VisionXGlobal Quick NVIDIA TensorRT introduction:
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NVIDIA AI 21 May 18
Sign up to watch how NVIDIA GPUs and help optimize performance and efficiency.
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RAYPACK.AI Apr 15
After trying different face ´s for the last months, we have developed an entirely new high-performance model for based on ! Sign up for FREE and try it out by yourself! API KEY: PRODUCT:
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Shashank Prasanna 8 Dec 17
Watch my GPU Technology Conference talk, to learn more about how to deploy models with NVIDIA . Includes code example walk-through.
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Scarab Sep 22
So much new development software released, to go with the new RTX cards... I'm going to be very busy... I hope I can get all the programming done that I need to...
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Luca Fabbrini Nov 1
So, it seems the fastest path to production is not more use inference from framework itself, but using: - if GPU is needed - if CPU is needed OpenCV easily integrates OpenVINO backend, whereas Serving actually use TensorRT.
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NVIDIA AI Developer Jun 17
NVIDIA plugins, parsers, & samples are now open source & available on . Customize & extend repo to get highest inference perf on custom models & layers. Learn More:
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NVIDIA AI Developer Nov 14
New to ? Learn how to take a trained model from any framework, apply optimizations and generates production-ready runtime engines that can be deployed in the datacenter, automotive or embedded environments
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ThinkDeeply 2 Oct 17
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Mustafa Kasap Feb 4
Now create 18.04 VM w latest drivers, 10, 5, 13.rc0, 4, MKL & more compiled from sources 2 VM spec inst set Screenshot w X2Go remote desktop client, Tensorboard, Visual Studio Code, Image Viewer
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TensorFlow Best Practices 28 Mar 18
Google Developers Blog:Announcing TensorRT integration with TensorFlow 1.7
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Phoronix Jul 2
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NVIDIA AI 25 Mar 18
See how to leverage NVIDIA's and NVIDIA-Docker to deploy a deep neural network at :
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NVIDIA Data Center 1 May 18
Accelerate and your innovation with the power of NVIDIA . Watch the full video:
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NVIDIA Europe Sep 13
NVIDIA natively integrated with TensorFlow, MathWorks’ GPU Coder and Caffe2 delivering powered inference within frameworks.
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Big Data Hires Mar 27
Reproducible containerized computing for machine vision & applications: , , , , , , and
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𝐇𝐢𝐥𝐥𝐞𝐥 𝐒𝐭𝐞𝐢𝐧𝐛𝐞𝐫𝐠 Mar 27
NVidia Jetson Nano with Pi camera uses imagenet TensorRT neural network to classify live 720p video stream of a screwdriver... as a screwdriver!
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Brett Olsen Feb 4
Start with the new NVIDIA online training to get hands-on with TensorFlow and .
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Benji Oct 10
That moment when you think your GPUs are maxed out .... Then turn it up 💪
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