BrainChip Brings Neuromorphic Capabilities to M.2 Form Factor
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) has announced the release of its Akida™ neural networking processor in the M.2 form factor. This new implementation enables low-cost, high-speed, and low-power AI processing at the edge, operating on approximately 1 watt of power.
The AKD1000 processor, available in B+M Key and E Key configurations of the M.2 2260 form factor, can be integrated into various devices including Raspberry PI and Edge AI box enclosures. The technology supports incremental learning and high-speed inference for applications where space and power are , such as industrial facilities, factory service centers, and network access devices.
The product is currently available for industry evaluation, development, and proof of concept, with pricing starting at $249. The IP is also available for licensing and integration into System-on-Chips (SoCs).
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) ha annunciato il rilascio del suo processore di networking neurale Akida™ nel formato M.2. Questa nuova implementazione consente un'elaborazione AI a basso costo, ad alta velocità e a bassa potenza ai margini, operando con circa 1 watt di potenza.
Il processore AKD1000, disponibile nelle configurazioni B+M Key ed E Key del formato M.2 2260, può essere integrato in vari dispositivi tra cui Raspberry PI e scatole AI Edge. La tecnologia supporta l'apprendimento incrementale e inferenze ad alta velocità per applicazioni dove lo spazio e la potenza sono limitati, come nelle strutture industriali, nei centri di assistenza delle fabbriche e nei dispositivi di accesso alla rete.
Il prodotto è attualmente disponibile per valutazione industriale, sviluppo e proof of concept, con prezzi a partire da $249. Inoltre, la proprietà intellettuale è disponibile per licenza e integrazione in System-on-Chips (SoCs).
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) ha anunciado el lanzamiento de su procesador de redes neuronales Akida™ en formato M.2. Esta nueva implementación permite un procesamiento de IA rentable, de alta velocidad y de bajo consumo en el borde, operando con aproximadamente 1 vatio de potencia.
El procesador AKD1000, disponible en configuraciones B+M Key y E Key del formato M.2 2260, se puede integrar en varios dispositivos, incluyendo Raspberry PI y cajas de IA Edge. La tecnología admite aprendizaje incremental e inferencia de alta velocidad para aplicaciones donde el espacio y la potencia son limitados, como instalaciones industriales, centros de servicio de fábricas y dispositivos de acceso a la red.
El producto está actualmente disponible para evaluación, desarrollo y prueba de concepto, con precios a partir de $249. La propiedad intelectual también está disponible para licencia e integración en System-on-Chips (SoCs).
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF)는 M.2 형식의 Akida™ 신경망 프로세서 출시를 발표했습니다. 이 새로운 구현은 엣지에서 저비용, 고속 및 저전력 AI 처리를 가능하게 하며, 약 1와트의 전력으로 작동합니다.
AKD1000 프로세서는 M.2 2260 형식의 B+M Key 및 E Key 구성으로 제공되며, Raspberry PI 및 엣지 AI 박스 인클로저를 비롯한 다양한 장치에 통합될 수 있습니다. 이 기술은 공간과 전력이 제한된 산업 시설, 공장 서비스 센터 및 네트워크 접근 장치와 같은 애플리케이션을 위한 점진 학습 및 고속 추론을 지원합니다.
제품은 현재 산업 평가, 개발 및 개념 증명을 위해 제공되며, 가격은 $249부터 시작합니다. 또한, IP는 라이센스 및 시스템 온 칩(SoCs) 통합용으로도 제공됩니다.
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) a annoncé la sortie de son processeur de réseau neuronal Akida™ au format M.2. Cette nouvelle mise en œuvre permet un traitement IA à faible coût, haute vitesse et faible consommation d'énergie en périphérie, fonctionnant avec environ 1 watt de puissance.
Le processeur AKD1000, disponible en configurations B+M Key et E Key du format M.2 2260, peut être intégré dans divers appareils, y compris Raspberry PI et des boîtiers IA Edge. La technologie prend en charge l'apprentissage incrémental et l'inférence à haute vitesse pour des applications où l'espace et l'énergie sont limités, telles que les installations industrielles, les centres de service d'usine et les dispositifs d'accès réseau.
Le produit est actuellement disponible pour évaluation industrielle, développement et preuve de concept, avec un prix de départ de 249 $. La propriété intellectuelle est également disponible pour licence et intégration dans des System-on-Chips (SoCs).
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) hat die Veröffentlichung seines Akida™ neuronalen Netzwerkprozessors im M.2-Format angekündigt. Diese neue Implementierung ermöglicht kostengünstige, hochgeschwindigkeits- und energiesparende KI-Verarbeitung am Rand mit einem Verbrauch von etwa 1 Watt.
Der AKD1000 Prozessor, der in B+M Key und E Key Konfigurationen des M.2 2260 Formats erhältlich ist, kann in verschiedene Geräte integriert werden, einschließlich Raspberry PI und Edge AI-Gehäusen. Die Technologie unterstützt inkrementelles Lernen und Hochgeschwindigkeitsinferenz für Anwendungen, bei denen Platz und Energie begrenzt sind, wie industrielle Anlagen, Servicezentren von Fabriken und Netzwerkzugangseinrichtungen.
Das Produkt ist derzeit zur Branchenbewertung, Entwicklung und Machbarkeitsstudie verfügbar, mit Preisen ab 249 $. Das geistige Eigentum ist zudem zur Lizenzierung und Integration in System-on-Chips (SoCs) verfügbar.
- Launch of new M.2 form factor implementation expanding market reach
- Low power consumption of approximately 1 watt
- Multiple integration options (Raspberry PI, Edge AI boxes, custom designs)
- Available for immediate purchase and licensing
- None.
BrainChip’s neural processor Al IP is an event-based technology that is inherently lower power when compared to conventional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a wide variety of use cases, such as convolutional neural networks with high throughput and unsurpassed performance in low power budgets. The AKD1000-powered boards can be plugged into the M.2 slot – around the size of a stick of gum, with a power budget of about 1 watt – to unlock capabilities for a wide array of edge AI applications where space and power is limited and speed is critical, including industrial, factory service centers, network access devices and more.
“BrainChip’s AKD1000 chips and boards are available today for industry evaluation, development, proof of concept and demonstration platforms with the IP available to license for integration into SoCs. Releasing the AKD1000 on the M.2 form factor continues our commitment to aid developers in creating AI solutions with our Akida IP,” said Sean Hehir, BrainChip CEO. “By providing neuromorphic developers access to Akida via M.2, we can expand their options for proof-of-concept designs with streaming sensors at the edge.”
BrainChip’s AKD1000 product is available in both B+M Key and E Key configurations of the M.2 2260 form factor. It can be purchased integrated into stand-alone Raspberry PI or Edge AI box enclosures, or for integration into custom designed products. Pricing starts at
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning locally to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be designed into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
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Media Contact:
Mark Smith
JPR Communications
818-398-1424
Investor Relations:
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Source: BrainChip Holdings Ltd
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