Training today’s largest AI models demands more than just powerful GPUs — it requires smart orchestration, efficient communication, and optimized resource use across massive clusters. From Google ...

Hardware support is now available for TensorFlow from NVIDIA and Movidius, intended to accelerate the use of deep neural networks for machine learning applications. Each framework has advantages and ...

Building your own GPU server isn't hard, and it can easily beat the cost of training deep learning models in the cloud There comes a time in the life of many deep learning practitioners when they get ...

Google has revealed new benchmark results for its custom TensorFlow processing unit, or TPU. In inference workloads, the company's ASIC positively smokes hardware from Intel, Nvidia. Share on Facebook ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

Nvidia doesn't think Google's TPU-versus-GPU comparison last week told the whole story on what its graphics cards can bring to the table. What changes when Pascal enters the picture? Share on Facebook ...