Yizhu Technology completes 1 billion+ yuan financing to accelerate industrialization of general-purpose compute-in-memory
Yizhu Technology, China's first AI high-computing-power chip company with a general-purpose compute-in-memory architecture (GP-IMC®), has completed 1 billion+ yuan in financing; the funds will be used for subsequent R&D investment, product iteration, and industrialization advancement. Yizhu Technology has been officially operating since 2022, adhering to the technical route of "general-purpose compute-in-memory + super-heterogeneous", laying out 3D DRAM compute-in-memory, with products compatible with mainstream ecosystems such as CUDA and PyTorch, providing computing power solutions with lower token costs for scenarios such as data centers and AI cloud computing.
Body · AI translation
Yizhu Technology, China's first company with a general-purpose compute-in-memory architecture (GP-IMC®) AI high-compute chip, has completed over 1 billion yuan in financing. As AI computing demand continues to grow, new computing architectures such as general-purpose compute-in-memory are attracting attention from capital markets and industry, and Yizhu Technology is also continuing to advance in technology R&D and product industrialization.
Yizhu Technology officially began operations in 2022, continuously focusing on general-purpose compute-in-memory technology R&D, adhering to the "general-purpose compute-in-memory + super-heterogeneous" technology route, and continuing to lay out around technology directions such as 3D DRAM compute-in-memory. The company's products feature high throughput, high cost-effectiveness, and low power consumption, and are compatible with mainstream ecosystems such as CUDA and PyTorch, providing data centers, AI cloud computing, and other scenarios with new computing solutions that are easy to use in software and have lower Token costs.
This financing will provide further support for Yizhu Technology's subsequent R&D investment, product iteration, and industrialization advancement. As technology R&D and product implementation continue to advance, its general-purpose compute-in-memory technology route and related products will also receive fuller market validation. Against the backdrop of continuously growing AI computing demand, continuous innovation around chip architecture, storage technology, software ecosystems, and product applications is becoming an important factor in driving new computing technologies toward industrial application.