Deep Learning Processor Sets Performance Benchmark

(Hailo)

Hailo unveils the Hailo-8TM, what the company is calling the world’s top performing deep learning processor. The chip is built with a unique architecture that enables edge devices to run sophisticated deep learning applications that could previously run only on the cloud.

Hailo sees key disadvantages existing in the current architecture of the embedded processing infrastructure, designed based on a 70-year-old underlying structure. Hailo’s holistic solution rethinks the existing pillars of computer architecture – memory, control, and compute – and incorporates a key, comprehensive Software Development Kit (SDK) co-developed with the hardware. 

The Hailo-8 processor features up to 26 terra operations per second (TOPS) at a size smaller than a penny, including the required memory. By designing an architecture that relies on the core properties of neural networks, edge devices can now run deep learning applications at full scale more efficiently, effectively, and sustainably than traditional solutions, while significantly lowering costs. According to preliminary results comparing Hailo-8TM to Nvidia’s Xavier AGX, which runs NN benchmarks such as ResNet-50, Hailo-8 consumes almost 20 times less power while performing the same tasks.

Sponsored by Infosys

In Conversation with Antonio Neri, President & CEO – Hewlett Packard Enterprise & Salil Parekh, CEO – Infosys

Hear the CEOs of Infosys & HPE discuss the current crisis and how it has accelerated the need for digital transformation for their clients. Connectivity at the Edge, right mix of hybrid cloud, ability to extract data faster than ever before… these are just some of the contributions that HPE and Infosys make to our clients’ digital transformation journey.
ResNet-50 Benchmark

For more details, visit Hailo.

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