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Graphcore Launches Wafer-on-Wafer ‘Bow’ IPU
March 3, 2022
Graphcore introduced its AI-focused, PCIe-based Intelligent Processing Units (IPUs) six years ago. Since then, the company has done anything but slow down, announcing a second generation of IPUs in 2020 and, over the years, larger and larger IPU-based “IPU-POD” systems — most recently the IPU-POD128 and the IPU-POD256, both announced just a few months... Read more…
Graphcore Introduces Larger-Than-Ever IPU-Based Pods
October 22, 2021
After launching its second-generation intelligence processing units (IPUs) in 2020, four years after emerging from stealth, Graphcore is now boosting its produc Read more…
Hot Chips: Here Come the DPUs and IPUs from Arm, Nvidia and Intel
August 25, 2021
The emergence of data processing units (DPU) and infrastructure processing units (IPU) as potentially important pieces in cloud and datacenter architectures was Read more…
Intel Debuts ‘Infrastructure Processing Unit’ as Part of Broader XPU Strategy
June 15, 2021
To boost the performance of busy CPUs hosted by cloud service providers, Intel Corp. has launched a new line of Infrastructure Processing Units (IPUs) that take Read more…
Graphcore’s IPU Tackles Particle Physics, Showcasing Its Potential for Early Adopters
August 27, 2020
Graphcore means business – and it should, given the paradigm shift it wants to provoke. The ambitious startup, which emerged from stealth in 2016, makes Intelligent Processing Units, or IPUs: massive processors specifically designed for AI computing, which Graphcore intends to be “the worldwide standard for machine intelligence compute.” Read more…
Hardware Acceleration of Recurrent Neural Networks: the Need and the Challenges
July 27, 2020
Recurrent neural networks (RNNs) have shown phenomenal success in several sequence learning tasks such as machine translation, language processing, image captio Read more…
Graphcore Readies Launch of 16nm Colossus-IPU Chip
July 20, 2017
A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…
Here’s What a Neural Net Looks Like On the Inside
February 15, 2017
Ever wonder what the inside of a machine learning model looks like? Today Graphcore released fascinating images that show how the computational graph concept ma Read more…
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When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
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