🚀 DFSX Unveils DF1000 AI Accelerator Based on 3D DRAM
DFSX has introduced the high-performance DF1000 card, built on a 3D near-memory (3D DRAM) architecture. The device is developed using a fully Chinese supply chain and supports the OAM 2.0 standard for integration with AI servers. It is designed for LLM training and distributed inference.
🌍 The use of 3D near-memory allows for overcoming the "memory wall," significantly increasing bandwidth and computational density, which is critical for working with large-scale models.
👤 This serves as an example of the development of independent AI hardware infrastructure, where the focus is shifting from simply increasing chip counts to new methods of memory organization to accelerate neural network performance.
Source 1: https://www.dfsx.com/products/ai-accelerator/df1000
