As we previously reported, Google unveiled its second-generation TensorFlow Processing Unit (TPU2) at Google I/O last week. Google calls this new generation “Google Cloud TPUs”, but provided very little information about the TPU2 chip and the systems that use it other than to provide a few colorful photos. Pictures do say more than words, so in this article we will dig into the photos and provide our thoughts based the pictures and on the few bits of detail Google did provide.
To start with, it is unlikely that Google will sell TPU-based chips, boards, or servers – TPU2 …
Under The Hood Of Google’s TPU2 Machine Learning Clusters was written by Timothy Prickett Morgan at The Next Platform.
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Around this time last year, we delved into a new FPGA-based architecture that targeted efficient, scalable machine learning inference from startup DeePhi Tech. The company just rounded out its first funding effort with an undisclosed sum with major investors, including Banyan Capital and as we learned this week, FPGA maker Xilinx.
As that initial article details, the Stanford and Tsinghua University-fed research focused on network pruning and compression at low precision with a device that could be structured for low latency and custom memory allocations. These efforts were originally built on Xilinx FPGA hardware and given this first round of …
FPGA Startup Gathers Funding Force for Merged Hyperscale Inference was written by Nicole Hemsoth at The Next Platform.
I’ve been thinking about what Network Telemetry will change in network equipment. It was this slide from Cisco Live that gave me a starting point: What it highlights is that poor quality of tools for troubleshooting. We have the CLI and Packet Capture. The CLI is expensive to operate because it requires highly trained and […]
The post What Does Network Telemetry Replace ? appeared first on EtherealMind.
Before adopting new Ethernet standards, consider these fundamentals.