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Google Enables Low-Cost Fast TPU v2 Pod Training in GCP
This week, Google announced a low-cost and fast deep learning model training in GCP. With the results of MLPerf v0.5 in hand and the Google TPU v2 Pod hardware in its cloud, Google showed off the fast and cost-effective training solution
TensorFlow 1.8 with AMD ROCm Support Risks Being Too Little Too...
TensorFlow 1.8 with AMD ROCm support is out now including a docker container implementation. Still, supporting a four-month-old release risks being too little too late. The industry needs a strong AMD to provide choice for deep learning professionals
NVIDIA GPU in a AMD EPYC Server Tips for Tensorflow and...
We install an NVIDIA GeForce GTX series GPU in a Supermicro AMD EPYC system and investigate whether pinning Tensorflow and Zcash mining containers to specific NUMA nodes has an impact on performance.
DeepLearning11: 10x NVIDIA GTX 1080 Ti Single Root Deep Learning Server...
We built a 10 GPU deep learning machine with 10x NVIDIA GTX 1080 Ti Founders Edition cards and break down what you need to know to do the same
DeepLearning10: The 8x NVIDIA GTX 1080 Ti GPU Monster (Part 1)
We built an 8 GPU deep learning machine with 8x NVIDIA GTX 1080 Ti Founders Edition cards and break down what you need to know to do the same
Google Cloud TPU Details Revealed
Google unveiled details about the Google Cloud TPU and that they will be making TPUs available in the Google Cloud Platform and TensorFlow Research Cloud
Tensorflow 1.0 Released!
Google released TensorFlow 1.0 to the public recently. We also saw a TensorFlow ready dataset in the YouTube-8M dataset get updated.
Google Tensorflow ASIC and its impact
We provide a view on the impact of Google Tensorflow Processing Unit (TPU) ASIC being announced to the machine learning industry