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AI chipmaker Hailo releases "industry-leading" deep learning processor

AI chipmaker Hailo has launched its Hailo-8TM, what it claims is the world’s top performing deep learning processor.

Hailo is now sampling its chip with select partners across multiple industries, with a focus on automotive. The chip is built with an innovative architecture that enables edge devices to run sophisticated deep learning applications that could previously run only on the cloud.

“In recent years, we’ve witnessed an ever-growing list of applications unlocked by deep learning, which were made possible thanks to server-class GPUs,” said Orr Danon, CEO of Hailo. "However, as industries are increasingly powered and even upended by AI, there is a crucial need for an analogous architecture that replaces processors of the past, enabling deep learning to run devices at the edge. Hailo’s chip was designed from the ground up to do just that."

Key disadvantages exist in the current architecture of the embedded processing infrastructure, designed based on a 70-year-old underlying structure, Hailo states.

The chip maker says it addresses these issues with its holistic solution, which completely 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, which features up to 26 tera operations per second, is said to significantly outperform all other edge processors with area and power efficiency.

By designing an architecture that relies on the core properties of neural networks, the company says that edge devices can now run deep learning applications at full scale more efficiently, effectively, and sustainably than traditional solutions, while significantly lowering costs.

Hailo says its redesign eliminates untenable heat dissipation issues and removes the need for active cooling systems in the automotive industry. Its advanced structure is said to translate to higher performance, lower power, and minimal latency, enabling more privacy and better reliability for smart devices operating at the edge.

“We are excited to help customers drive their intelligent devices to new limits. A new age of chips means a new age of technology," Danon concluded.

Author
Bethan Grylls

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