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NVIDIA AI Developer
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NVIDIAAIDev
Santa Clara, CA
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Read about the latest AI developer news from @NVIDIA.
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| ١٤ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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With @BlazingSQL V0.4 release, you can now do distributed #SQL queries on multiple #GPUs on multiple servers. Massive step in scaling BlazingSQL and the @RAPIDSai ecosystem to solve the largest challenges. nvda.ws/2KJgOss pic.twitter.com/QYxpF3jmMF
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| ١٤ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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Learn how we trained BERT-Large in 53 minutes and built an 8.3 billion parameter language model based on GPT-2 in this technical blog: nvda.ws/33tO67D
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| ١٣ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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Wrap-up of major #NLP announcements, including -
Fastest training on BERT-Large (<1 hour)
Fastest inference on BERT-Base (2.2ms)
Largest Transformer, GPT-2 8B
Code is open sourced - try today:
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| ١٣ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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NVIDIA achieves 2.2 ms latency for inference of BERT-Base with #TensorRT on T4 #GPUs. Optimizations are open source on GitHub. Learn more: nvda.ws/2TsvS1w
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ١٣ أغسطس |
@rapidsai
RAPIDS AI
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Thinking about hosting your own #hackathon with RAPIDS? Setting up @nvidia #gpu #datascience environments for hackathons is quick to build and easy to administer so people can enjoy RAPIDS and @ProjectJupyter. medium.com/rapids-ai/sett… pic.twitter.com/QrPcrwwEdW
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ١٣ أغسطس |
@ctnzr
Bryan Catanzaro
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Once you have a good language model, the next step is deployment. TensorRT can now compile language models for inference on GPUs. BERT-Base inference on a Tesla T4 GPU is 2.2 milliseconds.
devblogs.nvidia.com/nlu-with-tenso…
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ١٣ أغسطس |
@ctnzr
Bryan Catanzaro
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Here’s how we trained an 8.3B parameter GPT-2. We alternate row- and column- partitioning in the Transformer in order to remove synchronization and use hybrid model/data parallelism. 15 PFlops sustained on 512 GPUs. Details and code: nv-adlr.github.io/MegatronLM pic.twitter.com/sEk4q0hU7T
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ١٣ أغسطس |
@ctnzr
Bryan Catanzaro
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Three scaling breakthroughs for NLP: fastest BERT-Large training (under one hour), fastest BERT inference (2.2ms on T4), and largest Transformer (GPT-2 8.3B). Code is open source. devblogs.nvidia.com/training-bert-…
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ١٣ أغسطس |
@nvidia
NVIDIA
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With recent breakthroughs in #NLP, the world is one step closer to conversational #AI. Learn how we’re leading a new era of customer engagement in every industry. nvda.ws/2ORNDIZ pic.twitter.com/Z0r3GsEyrf
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| ١٢ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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Faster performance with less performance. Our data science partner @iguazio integrated @rapidsai with @nuclioio, an open source serverless project; it's fast. nvda.ws/2KEg1sO pic.twitter.com/MylwokzMnC
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ٦ أغسطس |
@datametrician
Joshua Patterson
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Accelerating #datascience with #GPU is only the start. For optimal performance, #RDMA networks, #NVMe storage, @kubernetesio, and @Docker containers are needed to fully power @RAPIDSAI and the rest of the #analytics ecosystem on @NVIDIA GPU. Read more here medium.com/@patterson.jos…
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| ٦ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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| ٥ أغسطس |
@NVIDIAAIDev
NVIDIA AI Developer
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Congrats to the @blazingsql team for open-sourcing their SQL engine! This will help drive the next wave of interoperability in the accelerated #datascience ecosystem powered by @nvidia #GPUs. nvda.ws/2M27jaS pic.twitter.com/pyEgueuqH3
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| ٣١ يوليو |
@NVIDIAAIDev
NVIDIA AI Developer
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Clean sweep! The viral #GauGAN drawing app developed by @NVIDIA researchers won 'Best in Show' and 'Audience Choice' at the #SIGGRAPH2019 #RealTimeLive competition using an RTX Studio Laptop and a @Wacom Cintiq.
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ٣٠ يوليو |
@rapidsai
RAPIDS AI
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Learn how you can accelerate NLP workflows using RAPIDS and @NvidiaAI #GPUs for text preprocessing, creating word vectors, dimensionality reduction, and clustering. nvda.ws/317guKJ pic.twitter.com/3A6YCLS10p
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| ٣٠ يوليو |
@NVIDIAAIDev
NVIDIA AI Developer
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ٣٠ يوليو |
@NVIDIADesign
NVIDIA Design
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Our #GauGAN Contest is LIVE!
How to enter?
1. Turn your doodle into a photorealistic masterpiece with GauGAN: nvda.ws/30YhkJA
2. Share your AI artwork on Twitter with #SIGGRAPH2019, #GauGAN & @NVIDIADesign
3. If your image is selected, you’ll win a #QuadroRTX 6000! pic.twitter.com/zdddQQiaBb
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ٢٦ يوليو |
@jankautz
Jan Kautz
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Try CuLe, @NvidiaAI ’s GPU-accelerate Atari emulator for reinforcement learning. It can generate over 10000 frames per second! news.developer.nvidia.com/new-open-sourc…
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| قام NVIDIA AI Developer بإعادة تغريد | ||
| ٢٤ يوليو |
@NVIDIADC
NVIDIA Data Center
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We have partnered with @MathWorks to make the MATLAB container easily available, enabling admins and app users to easily deploy the software and improve workflow efficiency. Explore the container today: nvda.ws/2LFJHsE pic.twitter.com/7wU51mB1SH
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| ٢٤ يوليو |
@NVIDIAAIDev
NVIDIA AI Developer
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