Artificial Intelligence and Machine Learning
InstonTech's VC-MRAM supports AI and ML applications with its high-speed performance and reliable data retention. It can be used for dense, local storage of weights in AI processing systems, while its entropy-capturing ability support efficient generative and optimization algorithms. Moreover, our VC-MRAM’s high endurance makes it currently the only nonvolatile memory that can support real-time updates of weights, making it optimal for rapid processing and analysis of large datasets essential for advanced AI and ML algorithms.
InstonTech's VC-MRAM supports AI and ML applications with its high-speed performance and reliable data retention. It can be used for dense, local storage of weights in AI processing systems, while its entropy-capturing ability support efficient generative and optimization algorithms. Moreover, our VC-MRAM’s high endurance makes it currently the only nonvolatile memory that can support real-time updates of weights, making it optimal for rapid processing and analysis of large datasets essential for advanced AI and ML algorithms.
Core Advantages:
High Performance: Facilitates rapid data processing where latency and throughput are both critical.
Low Energ: AI/ML systems are extremely energy-consuming, with memory access taking a large portion of the total power. MeRAM can alleviate this burden with its low energy read/write operations and zero-standby energy in non-activated regions.
Excellent Endurance: Ensures long-term reliability for continuous learning and data analysis.
Entropy Generation: our VC-MRAM enables In-place true random number generation that supports optimization algorithms like p-bits, simulated annealing, Boltzmann machines, and Ising models.
Contact address: Room 1706, Zhongxin Ecological Building, No.2 Keying Road, Suzhou Industrial Park