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 Core 2 Achieves Outstanding Results in Latest MLPerf Tiny v1.1 Benchmark Suite
Syntiant Corp., a leader in edge AI deployment, today announced that its Syntiant Core 2™ programmable deep learning architecture delivered the lowest power energy performance across three categories in the most recent MLCommons’ MLPerf™ Tiny v1.1 benchmark suite, which measures how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors.
Syntiant NDP200 Awarded ‘Best Product of the Year’ at tinyML Summit
Syntiant Corp., a leader in edge AI deployment, today announced that its Syntiant® NDP200 Neural Decision Processor™ (NDP) has been named “Best Product of the Year” by the tinyML Foundation.