The new DeepSeek Engram technology, developed in collaboration with Peking University, aims to address the growing hardware bottleneck in the artificial intelligence sector. Currently, large language models require expensive high-bandwidth memory (HBM) to access information, a demand that has caused DRAM prices to skyrocket fivefold in just 10 weeks. This innovation promises a more efficient and cost-effective approach.
How DeepSeek Engram Technology Reduces AI Costs
The core innovation of Engram is its ability to separate memory storage from computational processes. This allows AI models to “look up” necessary information without congesting valuable GPU memory. As a result, the system’s capacity can be dedicated to more complex reasoning tasks rather than simple data retrieval. Furthermore, tests conducted on a 27-billion-parameter model have demonstrated that the Engram method provides significant performance improvements compared to industry standards.
By making static information access independent of immediate processing demands, Engram paves the way for a more flexible hardware setup. The system is designed to work seamlessly with cost-effective SSD solutions, such as those from Phison, and emerging CXL standards. This synergy helps to significantly increase the total available memory capacity, allowing AI systems to operate quickly and efficiently without relying solely on expensive memory units.
A More Efficient Path for AI Development
Research indicates that allocating just 20% to 25% of a model’s parameter budget to the Engram module can lead to superior performance compared to traditional models. This technique is particularly beneficial for developers and organizations in regions where access to expensive HBM is limited. By reducing the pressure on high-end hardware, this technology could help stabilize the volatile DRAM market.
Ultimately, software-based efficiency solutions like Engram could play a crucial role in democratizing AI development. By lowering the hardware barrier to entry, it enables more innovators to build and train powerful AI models, potentially accelerating progress across the entire field.
So, what are your thoughts on the DeepSeek Engram technology? Share your opinions with us in the comments!
