Transistor for fuzzy logic hardware: promise for better edge computing
(techxplore.com)
Edge computing devices, devices located in proximity to the source of data instead of in large data centers, could perform computations locally. This could reduce latency, particularly in real-time applications, as it would minimize the need to transfer data from the cloud.
Edge computing devices, devices located in proximity to the source of data instead of in large data centers, could perform computations locally. This could reduce latency, particularly in real-time applications, as it would minimize the need to transfer data from the cloud.
GDDR7 Memory Supercharges AI Inference
(semiengineering.com)
High bandwidth and low latency are paramount for AI-powered edge and endpoints.
High bandwidth and low latency are paramount for AI-powered edge and endpoints.
How the new Raspberry Pi AI Hat supercharges LLMs at the edge
(novusteck.com)
The Raspberry Pi AI HAT+ introduces two performance options: a 13 TOPS model for $70 and a 26 TOPS model for $110, both featuring Hailo AI accelerators for high-performance machine learning tasks.
The Raspberry Pi AI HAT+ introduces two performance options: a 13 TOPS model for $70 and a 26 TOPS model for $110, both featuring Hailo AI accelerators for high-performance machine learning tasks.
Serving 70B-scale LLMs efficiently on low-resource edge devices [pdf]
(arxiv.org)
Large model inference is shifting from cloud to edge due to concerns about the privacy of user interaction data.
Large model inference is shifting from cloud to edge due to concerns about the privacy of user interaction data.
Edge Image Builder
(suse.com)
Working at the edge introduces a number of complications not seen in a traditional data center.
Working at the edge introduces a number of complications not seen in a traditional data center.