Don't know whether this is purely co-incidental but this article includes a link mid-way down which takes you to an article discussing BrainChip and Vorago published on 23 December 2020 which I have also posted below.
Vorago in edge computing deals for space
Business news | October 28, 2024
By Nick Flaherty
space Memory & Data Storage
Vorago Technologies in the US has expanded partnerships with deals with Infineon and Avalanche Technology on rad hard non-volatile memory for edge computing for space.
Vorago will use the Avalanche MRAM magnetic memory boot and AI multi-processing designs with rad-hard and rad-tolerant microcontrollers and microprocessors. This will allow customers to access highly optimized processing solutions to support critical space and defence applications.
“The Aerospace & Defense industry has unwavering need for scalable platform solutions that meet a challenging balance of optimized reliability, SWaP and commercial viability,” said Paul Chopelas, General Manager at Avalanche Technology.
“Working with key ecosystem partners like VORAGO to provide idealized boot solutions for their lineup of processors, we help realize the community’s Goldilocks requirements.”
In 2025, Infineon Technologies and Vorago will offer designs based on the Infineon radiation hardened NOR flash coupled with next generation Vorago MCUs.
“Microcontrollers are gaining fast acceptance in space applications due to their flexibility, small footprint, radiation performance and lower power consumption for secondary functions where a full-size FPGA would be exaggerated. We are pleased to support integrated as well as embedded QML certified boot solutions for VORAGO’s microcontrollers,” said Helmut Puchner, VP Fellow Aerospace and Defense at Infineon Technologies.
There are also deals for cubesats with Novi and IDEAS-TEK.
Novi is using the Vorago ARM Cortex-M4 microcontrollers in its 100 and 200 series on-board computers as well as offering custom hardware and software engineering services.
“We are dedicated to providing onboard computing solutions that combine high performance, cost efficiency, and radiation tolerance, driving the continued growth and capability of small spacecraft in LEO and beyond. Vorago’s M4 processor is crucial in helping us achieve these objectives,” said Michael Bartholomeusz, CEO of Novi.
IDEAS-TEK is developing cost, size and power optimized VNX+ computing platforms based on the Vorago VA7230 microprocessor for edge computing and ARM Cortex-M4 microcontrollers for radiation hardened system monitoring and system control.
“IDEAS-TEK has developed a family of small form factor computing platforms aligned with the VNX/VNX+ standards, offering a range of performance and reliability options. The VA7230 microprocessor and ARM Cortex-M4 microcontrollers are ideal additions to enhance our current offerings. We look forward to a successful partnership and to delivering these cutting-edge systems with the quality and reliability that define IDEAS-TEK,” said Alonzo Vera, CEO.
“By expanding our partner ecosystem with these industry-leading companies, VORAGO Technologies is reinforcing its commitment to providing innovative, radiation-hardened and radiation-tolerant solutions for the most demanding environments,” said Ken Obuszewski, Vice President of Business Development and Product at Vorago Technologies. “These strategic partnerships will enhance our technology offerings and help our customers accelerate product development and innovation, increasing resilience and value.”
Vorago Technologies has expanded partnerships on rad hard non-volatile memory for edge computing for space.
www.eenewseurope.com
Article on the link dated 23 December 2020
NASA funds rad-hard spiking Neural Network project
Technology News | December 23, 2020
By Ally Winning
EDA & CAD tools MPUs/MCUs Artificial Intelligence
Spiking neural networks use a lot less power as they only trigger on events. Brainchip’s Akida Event Domain Neural Processor IP offers native support for SNNs with a power consumption of 3 pJ per synaptic operation in their 28nm CMOS implementation. The Akida Development Environment (ADE) uses industry-standard neural network development tools Tensorflow and Keras for robotic vision, navigation, communication, observation and system health management in future autonomous robotic systems.
The first step is to evaluate the radiation vulnerability of different parts of the IP on a 28nm process through the Akida Development Environment and define an architecture for a target system-on-chip (SoC).
The chip is expected to be built on 28nm, using the HARDSIL hardening process from Vorago Technologies in Austin, Texas, to harden specific blocks in the design. This is a cost-effective modification to commercial process flows that can be implemented quickly with minimal incremental mask and implant steps.
The next stage is to look at a hardened chip with an embedded neural processor unit for use within NASA and the Space community. Vorago has already hardened an ARM Cortex-M0+ core that can be used in interplanetary CubeSats and SmallSats, instruments bound for outer planets and heliophysics missions to harsh radiation environments.
BrainChip has started shipping development boards for the technology.
“The Akida NSoC has proven to provide significant power savings and is the complete integration of a neural network design,” said Louis DiNardo, CEO of BrainChip. “True AI Edge learning does not exist with current AI solutions and our ability to provide this and other features while significantly reducing both power consumption, size and the Bill-of-Materials (BOM) has attracted the attention of leading suppliers in the Smart Home, Smart Transportation and Smart City markets. We believe that these capabilities also will provide new solutions in Smart Healthcare applications that serve our mission of supporting Beneficial AI applications and improve the human condition globally in terms of diagnosis of infectious diseases, cancers and a wide array of challenging global health concerns.
Next: BrainChip ships Akida RTL to Socionext
However the RTL for the chip was only completed at the start of December. It was sent to manufacturing partner Socionext America (SNA). SNA will complete the physical design of the device and tape-out to TSMC for mask creation for volume production in 2021.
“The Akida device design will be transferred to TSMC for use in manufacturing production wafers in support of potential customer requirement in 2021 and beyond. This is a major milestone for the Company as we move to commercialize the Akida NSoC,” said DiNardo. “Through our partnership with SNA and TSMC we have world-class resources and expect to have a robust integrated circuit that suits their requirements for both performance and reliability.”
www.brainchipinc.com
Related SNN articles
US space agency NASA is funding a project to create a radiation-hardened spiking Neural Network (SNN) system-on-chip based on the Akida design from BrainChip.
www.eenewseurope.com