EnCharge AI has unveiled its EN100 AI accelerator chip. Designed to bring AI capabilities to laptops, workstations, and Edge devices, the AI chip startup claims it is the first AI accelerator built on precise and scalable analog in-memory computing.
IEEE Spectrum's Samuel K. Moore takes a deep dive look into EnCharge AI's recently announced EN100 chip, its underlying innovations, and the journey from fundamental research to commercial product.
Hardware that consumes less power will reduce artificial intelligence's appetite for energy. But transparency about its carbon footprint is still needed.
Naveen Verma, Ph.D., is the Co-founder and CEO of EnCharge AI. At Encharge, he leads a team of engineering veterans from NVIDIA, Intel, Qualcomm, IBM, and AMD who are commercializing a revolutionary AI chip that solves the energy, scalability, and cost constraints of existing AI compute technologies.
In the realm of advancing technology, the demand for Artificial Intelligence (AI) solutions is surging. Yet, a major hurdle hindering widespread adoption is the high cost of AI computing. Overcoming these barriers is essential for scaling AI deployment effectively.
