This site just popped up in a search, dated 13 Aug. Another...

This site just popped up in a search, dated 13 Aug. Another avenue to mkt I guess with trial IPs as well.

Note diff target applications for Gen 1 & 2.

All Semiconductor IP - Silicon Hub

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IPs available

Akida 2nd Generation

FromBrainChip
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Description
BrainChip's Akida 2nd Generation is an enhanced version of their pioneering neuromorphic technology, designed to support a wider range of complex network models through advanced event-based processing. This iteration adds significant features such as 8-bit support for weights and activations, improving both energy efficiency and computational accuracy.
The 2nd Generation builds upon the foundational Akida technology by expanding its capabilities for more sophisticated applications without increasing the need for cloud reliance. It is set to bring remarkable improvements in the deployment of intelligent applications across a variety of edge devices, supporting crucial functionalities like vision transformers and temporal event-based neural networks (TENNs).
This platform is versatile and scalable, enabling processing across 1 to 128 nodes. Its design prioritizes privacy and security by ensuring that sensitive data remains on-device. Its unique advantage lies in reducing model storage requirements and offers increased operational efficiency, catering to the diverse needs of industries like automotive, healthcare, and industrial IoT.
Features

• Event-based processing
• Vision transformers
• 8-bit quantization

Tech Specs

	Category	Processor > CPU
1	Foundry	TSMC
2	Availability	All Countries & Regions

Applications

• Automotive
• Healthcare
• Industrial IoT

Akida Neural Processor IP

FromBrainChip
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Description
The Akida neural processor IP is a groundbreaking solution, touted as BrainChip's first-to-market digital neuromorphic processor. It emulates the human brain, processing only essential sensor inputs at the point of acquisition. This technology remarkably reduces latency, boosts precision, and significantly lowers power consumption compared to traditional methods.
One of the IP's most compelling features is its ability to keep AI/ML tasks local, eliminating the need for cloud dependency while enhancing data security and privacy. Designed for both inference and on-chip learning at the edge, Akida offers a fully customizable event-based AI neural processor. Its scalable architecture supports up to 256 nodes connected via a mesh network, and each node comprises four Neural Network Layer Engines with configurable SRAM. This allows the processor to adjust dynamically for either convolutional or fully connected operations.
Moreover, the processor is event-driven, meaning it utilizes data sparsity in activations and weights, drastically cutting down operations. This nature allows for efficient processing across various applications without the energy demands of a typical neural network accelerator, making it an optimal choice for high-speed, low-power computing needs.
Features

• Neuromorphic processing
• Event-based AI

Tech Specs

	Category	Processor > CPU
1	Foundry	TSMC
2	Process Node	28nm
3	Availability	All Countries & Regions

Applications

• Edge AI
• On-device learning
• Sensor data processing