Edge AI is no longer experimental. From wearables and medical sensors to smart home devices, industrial monitors, and infrastructure nodes, products are increasingly expected to sense, analyze, and make decisions locally while operating for months or even years on small batteries. This requirement has turned ultra-low-power system design into one of the most complex challenges […]
Accelerators
MXM 3.1 Blackwell GPU modules span 45W to 150W for edge AI
The MXM embedded GPU modules from ADLINK Technology are MXM 3.1 Type A and Type B accelerator modules based on NVIDIA RTX PRO™ Blackwell architecture for edge AI and graphics workloads. The modules support power configurations from 45 W to 150 W, deliver FP32 performance up to 49.8 TFLOPS, include up to 24 GB GDDR7 […]
How to approach AI hardware design to address the memory wall?
The transition from general-purpose computing to AI-specific hardware is driven by the specific computational and energy requirements of deep learning models. As these models scale to trillions of parameters, traditional architectures face the memory wall, where the energy required for data movement between memory and processing units significantly exceeds the energy consumed by the computation […]
Accelerators enable Gen 4 and Gen 5 PCIe connectivity with direct host-to-NVMe data flows
Microchip Technology has launched the Adaptec SmartRAID 4300 series of NVMe RAID storage accelerators. The new family is a feature-rich, secure, RAID-enabled, high-performance Software-Defined Storage (SDS) solution for NVMe deployments. The accelerators are especially suited for modern AI data center environments where accelerating access to NVMe storage is critical for supporting demanding workloads and maximizing overall system performance. […]
Near-memory accelerators interoperate with AMD EPYC CPUs and 5th Gen Intel Xeon platforms
Marvell Technology, Inc. announced the successful interoperability of the Marvell Structera portfolio of Compute Express Link (CXL)with AMD EPYC CPUs and 5th-generation Intel Xeon platforms. This achievement underscores Marvell’s commitment to advancing an open and interoperable CXL ecosystem, addressing the growing demands for memory bandwidth and capacity in next-generation cloud data centers. Marvell collaborated with AMD […]
MCU features neural-ART accelerator for edge processing
STMicroelectronics is making embedded artificial intelligence (AI) truly here-to-help with a new microcontroller series integrating, for the first time, accelerated machine learning (ML) capabilities. This enables cost-sensitive, power-conscious consumer and industrial products to provide high-performance features leveraging computer vision, audio processing, sound analysis, and other algorithms, until now beyond the capabilities of small embedded systems. […]
Single-chip MPU bring vision AI to next-gen robotics
Renesas Electronics Corporation has expanded its popular RZ Family of microprocessors (MPUs) with a new device targeting high-performance robotics applications. Offering the highest levels of performance within the family, the RZ/V2H enables both vision AI and real-time control capabilities. The device comes with a new generation of Renesas proprietary AI accelerator, DRP (Dynamically Reconfigurable Processor)-AI3, […]
PCIe card accelerates edge AI workloads
Lanner Electronics introduced the new PCIe AI Acceleration Card, Falcon Lite, powered by Hailo-8 AI processors. The Falcon Lite’s modular PCIe form factor provides a flexible solution for solution providers looking to accelerate edge AI workloads with deployment flexibility and power efficiency. The Lanner Falcon Lite PCIe AI Acceleration Card is designed to meet the soaring demand for […]
Optical NoC processor designed for domain-specific AI workloads
Lightelligence introduced a new big data interconnect paradigm with the launch of Hummingbird, the world’s first Optical Network-on-Chip (oNOC) processor designed for domain-specific artificial intelligence (AI) workloads. Hummingbird utilizes advanced vertically stacked packaging technologies to integrate a photonic chip and an electronic chip into one single package serving as the communications network for data centers […]
SoC with on-device learning AI accelerator targets edge IoT apps
ROHM Semiconductor announced they have developed an on-device learning[1] AI chip (SoC with on-device learning AI accelerator) for edge computer endpoints in the IoT field. The new AI chip utilizes artificial intelligence to predict failures (predictive failure detection) in electronic devices equipped with motors and sensors in real time with ultra-low power consumption. Generally, AI […]
