https://github.com/cupy/cupy :
> CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.
Projects using CuPy: https://github.com/cupy/cupy/wiki/Projects-using-CuPy
> What should be the API for working with pandas, pyarrow, and dataclasses and/or pydantic?
> Pandas 2.0 supports pyarrow for so many things now, and pydantic does data validation with a drop-in dataclasses.dataclass replacement at pydantic.dataclasses.dataclass.
Model output may or may not converge given the enumeration ordering of Categorical CSVW columns, for example; so consistent round-trip (Linked Data) schema tool support would be essential.
CuML is scikit-learn API compatible and can use Dask for distributed and/or multi-GPU workloads. CuML is built on CuDF and CuPY; CuPy is a replacement for NumPy arrays on GPUs with 100x relative performance.
CuPy: https://github.com/cupy/cupy :
> CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.
> CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.
> The figure shows CuPy speedup over NumPy. Most operations perform well on a GPU using CuPy out of the box. CuPy speeds up some operations more than 100X. Read the original benchmark article Single-GPU CuPy Speedups on the RAPIDS AI Medium blog
CuDF: https://github.com/rapidsai/cudf
CuML: https://github.com/rapidsai/cuml :
> cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.*
> cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn.
> For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU equivalents. For details on performance, see the cuML Benchmarks Notebook.
FWICS there's now a ROCm version of CuPy, so it says CUDA (NVIDIA only) but also compiles for AMD. IDK whether there are plans to support Intel OneAPI, too.
What of the non-Arrow parts of other pandas-compatible and not pandas-compatible DataFrame libraries can be ported back to Pandas (and R)?
This has existed elsewhere for a while. For example, see cupy[0].
We are a startup with more than 200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further with 1,024 NVIDIA V100 Tensor Core GPUs in July (https://www.preferred-networks.jp/en/news/pr20190318), and using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (University of Tokyo), Kenji Fukumizu (Institute of Statistical Mathematics) and Yarin Gal (University of Oxford). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical, Tokyo Electron and JXTG.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further with 1,024 NVIDIA V100 Tensor Core GPUs in July (https://www.preferred-networks.jp/en/news/pr20190318), and using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (the University of Tokyo), Kenji Fukumizu (the Institute of Statistical Mathematics) and Yarin Gal (University of Oxford). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further with 1,024 NVIDIA V100 Tensor Core GPUs in July (https://www.preferred-networks.jp/en/news/pr20190318), and using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (the University of Tokyo), Kenji Fukumizu (the Institute of Statistical Mathematics) and Yarin Gal (University of Oxford). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further with 1,024 NVIDIA V100 Tensor Core GPUs in July (https://www.preferred-networks.jp/en/news/pr20190318), and using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (the University of Tokyo) and Kenji Fukumizu (the Institute of Statistical Mathematics). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (the University of Tokyo) and Kenji Fukumizu (the Institute of Statistical Mathematics). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (the University of Tokyo) and Kenji Fukumizu (Institute of Statistical Mathematics). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley) and Takeo Igarashi (the University of Tokyo). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~200 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 . Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle.
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, with 512 V100 32Gb GPUs coming soon. Using our cluster we achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, with 512 V100 32Gb GPUs coming soon. Using our cluster we achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are looking for talented individuals with skills in various areas related to cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, with 512 V100 32Gb GPUs coming soon. Using our cluster we achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We are a startup with ~150 members based in Tokyo, focusing on developing AI for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, with 512 V100 32Gb GPUs coming soon. Using our cluster we achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
We have a strong emphasis on research, and our technical advisor is Pieter Abbeel (UC Berkeley). Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We are a growing startup with more than 100 members based in Tokyo, focusing on developing AI solutions for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, and achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Moreover, we recently expanded the cluster with an additional 512 NVIDIA Tesla V100 32GB GPUs: https://www.preferred-networks.jp/en/news/pr20180328
Our technical advisor is Pieter Abbeel (UC Berkeley): https://www.preferred-networks.jp/en/news/pr20170724 Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We are a growing startup with more than 100 members based in Tokyo, focusing on developing AI solutions for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We recently launched one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, and achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are a growing startup with more than 100 members based in Tokyo, focusing on developing AI solutions for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We recently launched one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, and achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
In August, we received an investment of $95 million from Toyota: http://newsroom.toyota.co.jp/en/detail/18012355/
In December, we received investments of total over $20 million from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co. https://www.preferred-networks.jp/en/news/pr20171211
Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are a growing startup with more than 100 members based in Tokyo, focusing on developing AI solutions for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We recently launched one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, and achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
In August, we received an investment of $95 million from Toyota: http://newsroom.toyota.co.jp/en/detail/18012355/
In December, we received investments of total over $20 million from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co. https://www.preferred-networks.jp/en/news/pr20171211
Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We are a growing startup with more than 100 members based in Tokyo, focusing on developing AI solutions for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer
We are looking for talented individuals with skills in various areas related to realizing cutting-edge AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/job
We recently launched one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 GPUs, and achieved the world record of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110
In August, we received an investment of $95 million from Toyota: http://newsroom.toyota.co.jp/en/detail/18012355/
Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK.
We will have a booth at NIPS 2017 next week. Please come over and say hi!