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Encharge AI unveils EN100 AI accelerator chip with analog memory
EnCharge AI, a startup that raised $144 million to date, announced the EnCharge EN100, an AI accelerator built on analog in-memory computing.
This breakthrough enables organizations to rapidly integrate advanced capabilities into existing products—democratizing powerful AI technologies and bringing high-performance inference directly to end-users, the company said. With up to 128GB of high-density LPDDR memory and bandwidth reaching 272 GB/s, EN100 efficiently handles sophisticated AI tasks, such as generative language models and real-time computer vision, that typically require specialized data center hardware. The company was founded to solve the problem that, as AI models grow exponentially in size and complexity, traditional chip architectures (like GPUs) struggle to keep pace, leading to both memory and processing bottlenecks, as well as associated skyrocketing energy demands.
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