Akida Cloud Webinar
Join BrainChip's Akida Cloud webinar for a practical walkthrough and live demos on Akida 2, showcasing on-device AI capabilities without hardware requirements.
brainchip.com
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
brainchip.com
I found this interesting. Our partners at Valeo working with 2SCRI on a new low power, low heat, edge data center solution for 5G in India…
2CRSi SA: Valeo and 2CRSi Launch an Outdoor Autonomous Immersion-Cooled Edge Data Center Solution for Indian Telecom Operators | FR Regulatory - EQS News
Extract :- “
16 February – New Delhi, India – In response to India’s rapid digital acceleration, Valeo and 2CRSi are advancing their collaboration with a new solution specifically designed for local edge data centers. This project directly addresses the infrastructure challenges driven by nationwide 5G deployment and the rapid expansion of AI applications.
Set to be unveiled at the AI Impact Summit in New Delhi, the prototype solution demonstrates both companies’ commitment to delivering maintenance-free, energy-efficient, reliable, high-performance Edge AI infrastructure tailored to India’s demanding climate conditions and scalable to support the country’s long-term digital growth strategy. Building on the partnership initiated in November 2025, Valeo and 2CRSi have reached a new milestone with the development of an autonomous (water-free) immersion-cooled solution engineered for decentralized digital infrastructure.
By combining 2CRSi’s advanced expertise in server architecture and manufacturing with Valeo’s decades of experience in high-efficiency thermal management, system integration, and wide temperature-range operations – developed through its global automotive leadership – the two companies have designed a fully autonomous immersion-cooled edge computing system capable of operating in:
2CRSi SA: Valeo and 2CRSi Launch an Outdoor Autonomous Immersion-Cooled Edge Data Center Solution for Indian Telecom Operators | FR Regulatory - EQS News
Extract :- “
16 February – New Delhi, India – In response to India’s rapid digital acceleration, Valeo and 2CRSi are advancing their collaboration with a new solution specifically designed for local edge data centers. This project directly addresses the infrastructure challenges driven by nationwide 5G deployment and the rapid expansion of AI applications.
Set to be unveiled at the AI Impact Summit in New Delhi, the prototype solution demonstrates both companies’ commitment to delivering maintenance-free, energy-efficient, reliable, high-performance Edge AI infrastructure tailored to India’s demanding climate conditions and scalable to support the country’s long-term digital growth strategy. Building on the partnership initiated in November 2025, Valeo and 2CRSi have reached a new milestone with the development of an autonomous (water-free) immersion-cooled solution engineered for decentralized digital infrastructure.
By combining 2CRSi’s advanced expertise in server architecture and manufacturing with Valeo’s decades of experience in high-efficiency thermal management, system integration, and wide temperature-range operations – developed through its global automotive leadership – the two companies have designed a fully autonomous immersion-cooled edge computing system capable of operating in:
- Ambient temperatures exceeding 50°C
- High humidity conditions
- Dust-heavy environments
- Flood-prone locations
Today’s event Mr. IBM commented it
www.linkedin.com
Excited to see our CDO, Jonathan Tapson, speaking at the EDGE AI FOUNDATION's first Neuromorphic Working Group livestream on February 18! The edge computing challenges are real: power constraints… | BrainChip
Excited to see our CDO, Jonathan Tapson, speaking at the EDGE AI FOUNDATION's first Neuromorphic Working Group livestream on February 18! The edge computing challenges are real: power constraints, latency requirements, and constant data movement. Neuromorphic architectures tackle these...
My bad… he commented it here
www.linkedin.com
Neuromorphic AI at the Edge: Edge AI Foundation Livestream | EDGE AI FOUNDATION posted on the topic | LinkedIn
Beyond von Neumann: Neuromorphic AI at the Edge Traditional computing architectures are reaching their limits at the edge. High data movement. Rising power demands. Inefficiencies that simply do not scale. Neuromorphic AI offers a different path. Event-driven. Brain-inspired. Built for...
smoothsailing18
Regular
Iam no academic thats for sure , but Why do videos have to be a speed reading competition ?. Iam mean one second longer between narrative wouldnt kill them. Jeees louseees
Bought a bit more this morning after I found some coin hiding in the sofa.Trading volume is extremely low.
It seems we have a stand off.
Jacob Kiraz
Regular
It gets me how they get information before the ASXBro must be new in the BrainChip community… BRO WE ARE LITERALLY WAITING SINCE FOR EVER FOR A HUGE ANNOUNCEMENT HAHAH
View attachment 95192
Bravo
Meow Meow 🐾
Noticed that our partner DeGirum has just announced a new Face Recognition package. In the release they list supported hardware partners including Hailo, Axelera AI and DEEPX.
Notably, there’s no mention of BrainChip.
There was a DeGirum PySDK demo running on BrainChip hardware at Embedded Vision Summit 2025, which suggests interoperability is (or at least recently was) in place. So it’s not immediately clear why yesterday's PR didn’t name us.
Feb 17, 2026, 09:00 ET
Pre-built workflows for face detection, recognition, tracking, and alerts
SANTA CLARA, Calif., Feb. 17, 2026 /PRNewswire/ -- DeGirum®, a leader in edge AI developer tools, today announced the release of DeGirum Face Recognition, a high-performance application package that enables face recognition workflows for edge AI deployments. The package provides face detection, recognition, and tracking workflows for images, video files, and live streams, helping developers integrate face recognition into their applications and deploy across various hardware targets.
Degirum logo (PRNewsfoto/DeGirum Corp.)
DeGirum Face Recognition is designed to simplify development and deployment by providing a unified application package and a consistent developer experience across various devices. Teams can prototype quickly, move to production deployments, and scale by adding hardware targets without requiring changes to application code. Licensing is managed through the DeGirum AI Hub.
Supported hardware targets include:
Accelerators
About DeGirum
DeGirum builds software that simplifies developing and deploying edge AI across supported devices. DeGirum's platform includes AI Hub, model zoos, the DeGirum Cloud Compiler, PySDK integration, and Application Packages to help teams move from evaluation to deployment with consistent APIs and repeatable workflows. Founded in 2017 by semiconductor industry veterans, DeGirum is headquartered in Santa Clara, California.
www.prnewswire.com
Notably, there’s no mention of BrainChip.
There was a DeGirum PySDK demo running on BrainChip hardware at Embedded Vision Summit 2025, which suggests interoperability is (or at least recently was) in place. So it’s not immediately clear why yesterday's PR didn’t name us.
DeGirum Face Recognition Now Available for Edge AI Applications
News provided by
DeGirum Corp.Feb 17, 2026, 09:00 ET
Pre-built workflows for face detection, recognition, tracking, and alerts
SANTA CLARA, Calif., Feb. 17, 2026 /PRNewswire/ -- DeGirum®, a leader in edge AI developer tools, today announced the release of DeGirum Face Recognition, a high-performance application package that enables face recognition workflows for edge AI deployments. The package provides face detection, recognition, and tracking workflows for images, video files, and live streams, helping developers integrate face recognition into their applications and deploy across various hardware targets.
Degirum logo (PRNewsfoto/DeGirum Corp.)
DeGirum Face Recognition is designed to simplify development and deployment by providing a unified application package and a consistent developer experience across various devices. Teams can prototype quickly, move to production deployments, and scale by adding hardware targets without requiring changes to application code. Licensing is managed through the DeGirum AI Hub.
Supported hardware targets include:
Accelerators
- Hailo®
- Axelera AI®
- DEEPX®
- Intel®
- NVIDIA®
- Rockchip®
- Google®
- Face detection workflow
- Face recognition workflow
- Face tracking and video monitoring workflow
- Intelligent alerts workflow
- Packaged examples and tutorials
About DeGirum
DeGirum builds software that simplifies developing and deploying edge AI across supported devices. DeGirum's platform includes AI Hub, model zoos, the DeGirum Cloud Compiler, PySDK integration, and Application Packages to help teams move from evaluation to deployment with consistent APIs and repeatable workflows. Founded in 2017 by semiconductor industry veterans, DeGirum is headquartered in Santa Clara, California.
DeGirum Face Recognition Now Available for Edge AI Applications
/PRNewswire/ -- DeGirum®, a leader in edge AI developer tools, today announced the release of DeGirum Face Recognition, a high-performance application package...
The sofa at the end of the rainbow?
Bravo
Meow Meow 🐾
That’s a great question FuzM.
We’re seeing recognition from the likes of IBM, Frontgrade Gaisler, Raytheon, etc internationally, yet locally there’s very little (if any) traction beyond Circle8.
I was questioning the same thing when I read this article a week or so ago that Australian Droid + Robot have partnered with Intel (see below) to power edge computing in underground mining which is a use case which I thought on the surface seemed perfectly suited to Akida.
I don’t think it necessarily reflects a lack of capability. Akida is perfectly suited for power-constrained, real-time environments like agriculture, mining and autonomous systems.
IMO what it most likely reflects is something else, maybe a lack of trust, absence of brand awareness, ecosystem unfamiliarity, etc.
I guess in sectors like mining and agriculture, buyers tend to choose platforms with established brand recognition and long support histories.
Maybe we need a bit more boots-on-the-ground here in Aus.
Maybe we could ask Pia if she can head off to some outback mining expos, fire up the BBQ, cook up a few snags, and give a five-minute yarn on neuromorphic AI between the ute muster and the auger demo.
Australian Droid + Robot partners with Intel to enable ‘edge computing’ for underground mining
Posted on 4 Feb 2026
Australian Droid + Robot (ADR) says it is removing the ‘risk human safety to gather data’ trade-off that exists in deep underground mining operations with the announcement of a strategic collaboration with Intel Corporation, combining its rugged robotics platform with Intel’s world-class edge computing capabilities to keep people out of harm’s way.
The Explora XL is not just a remote-controlled car; it is an autonomous data centre on wheels, according to ADR. Operating deep underground often means operating without a reliable cloud connection. This is where Intel’s technology changes the game, ADR says.
By integrating Intel® Xeon® processors and Intel Core™ Ultra processors directly onboard robots, ADR is enabling “Edge Computing”. The robot doesn’t just collect data – it analyses 3D LiDAR scans, thermal imaging and gas levels in real-time in the mine.
“Intel has technologies and they have the ideas,” Bhupesh Agrawal, GM, Enterprise Edge at Intel, says. “The use case is very interesting because the robot is going in the mine…and the data is being analysed using that Intel Xeon power. It allows enterprises to analyse data at the edge and make real-time decisions.”
ADR CTO, Mathew Allan, added: “If people don’t need to be in hazardous environments, they shouldn’t be.”
With this new capability, the Explora XL can traverse mud, water and uneven terrain to inspect blast zones and unstable shafts. The company says: “If equipment is lost, the cost is financial. If a human is lost, the cost is immeasurable. This partnership ensures that human safety is never compromised for the sake of data.”
Similar threads
