COMPANY NEWS AND INFORMATION
Edge AI Silicon Reshapes Privacy and Performance in 2025, TokenRing AI Reports
TokenRing AI examines the rapid shift from cloud-based AI to on-device intelligence, detailing how new Edge AI semiconductors are delivering faster performance, stronger data privacy, and lower costs across smartphones, wearables, IoT and enterprise systems while reshaping the competitive landscape for chipmakers and cloud providers.
Syntiant Introduces Small Language Model Assistant
Ideal for set-top box manufacturers, service providers and other device manufacturers, Syntiant's small language model assistant brings the power of a large language model (LLM) to the edge, while eliminating the need to significantly upgrade or replace existing hardware.
Syntiant CEO Kurt Busch Talks Edge AI with Chris Kalaboukis of ‘thinkfuture’
Syntiant’s CEO Kurt Busch is interviewed by Chris Kalaboukis, host of the “Thinkfuture” podcast, about the future of edge AI and its transformative potential. Kurt also sheds light on how Syntiant’s pioneering technology is propelling artificial intelligence to the forefront of edge devices, delivering unparalleled benefits like reduced latency, enhanced power efficiency and increased privacy.
At the Edge: AI performance Cannot be Tiny Anymore (Part 2 of 2)
In the first part of this series, we explored the challenges posed by the current approach to edge AI, such as scalability issues, escalating network and cloud costs, and the limitations of legacy processors. As the demand for smarter, faster, and more secure AI applications grows, it is becoming increasingly clear that edge AI cannot be tiny anymore. In this follow-up, we will discuss the reasons behind this shift and introduce Syntiant’s new NDP250 chip as a prime example of how advanced edge AI processors are addressing these challenges and making Edge AI a reality.