
AI
Taking the Heavy Lifting Out of TensorFlow at Extreme Scale
There is no real middle ground when it comes to TensorFlow use cases. …
There is no real middle ground when it comes to TensorFlow use cases. …
Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the hyperscalers of the world who are essentially creating this technology have had to rely on increasingly beefy compute nodes, these days almost universally augmented with GPUs. …
Google created quite a stir when it released architectural details and performance metrics for its homegrown Tensor Processing Unit (TPU) accelerator for machine learning algorithms last week. …
All Content Copyright The Next Platform