COMPANY NEWS AND INFORMATION
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.
Syntiant Core 2 Achieves Lowest Power Results in MLPerf Tiny v1.2 Benchmark Suite
The Syntiant Core 2 programmable deep learning architecture delivered the lowest power energy performance across three categories in the most recent MLCommons’ MLPerf™ Tiny v1.2 benchmark suite.
Syntiant Unveils NDP250 Neural Decision Processor with Next-Gen Core 3 Architecture
Syntiant Corp today introduced its Syntiant® NDP250 Neural Decision Processor™ , the company’s most powerful chip that delivers 5x the tensor throughput than its previous generation of deep learning hardware.
Syntiant to Demonstrate 100% Speed-Up of its Optimized Large Language Models at NVIDIA GTC
Syntiant Corp. will present several of its highly accurate, edge-deployable machine learning models at the NVIDIA GTC, a global AI developer conference taking place at the San Jose McEnery Convention Center, March 18-21.
Syntiant and GlobalSense Unveil Smart Sensor Edge AI Automotive Solution
Syntiant Corp., a leader in edge AI deployment, and GlobalSense, a developer of sound-based machine learning applications for the automotive industry, today introduced two cloud-free, always-on deep learning solutions for enhancing vehicle safety and security.
