AI
Google Rounds Out Insight into TPU Architecture and Inference
This week we have heard much about the inference side of the deep learning workload, with a range of startups emerging at the AI Hardware Summit. …
TPU
Cloud
The Many Machine Learning Engines Of Google
If there is anything the hyperscalers have taught us, it is the value of homogeneity and scale in an enterprise. …
AI
Tearing Apart Google’s TPU 3.0 AI Coprocessor
Google did its best to impress this week at its annual IO conference. …
Uncategorized
Google Boots Up Tensor Processors On Its Cloud
Google laid down its path forward in the machine learning and cloud computing arenas when it first unveiled plans for its tensor processing unit (TPU), an accelerator designed by the hyperscaler to speeding up machine learning workloads that are programmed using its TensorFlow framework. …
Cloud
Under The Hood Of Google’s TPU2 Machine Learning Clusters
As we previously reported, Google unveiled its second-generation TensorFlow Processing Unit (TPU2) at Google I/O last week. …
AI
Does Google’s TPU Investment Make Sense Going Forward?
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. …
Compute
First In-Depth Look at Google’s TPU Architecture
Four years ago, Google started to see the real potential for deploying neural networks to support a large number of new services. …
Cloud
Why Google Is Driving Compute Diversity
In the ideal hyperscaler and cloud world, there would be one processor type with one server configuration and it would run any workload that could be thrown at it. …
Compute
Google Takes Unconventional Route with Homegrown Machine Learning Chips
At the tail end of Google’s keynote speech at its developer conference Wednesday, Sundar Pichai, Google’s CEO mentioned that Google had built its own chip for machine learning jobs that it calls a Tensor Processing Unit, or TPU. …