Hermes introduces a cost-effective solution for deploying LLMs on budget-friendly hardware by augmenting GPU capabilities with specialized memory processing.

• Overcomes the bandwidth bottleneck between host and GPU memory
• Enables affordable LLM inference without expensive server-grade GPUs
• Leverages near-data processing within DRAM DIMMs to enhance performance
• Makes AI deployment more accessible to smaller organizations

This engineering breakthrough has significant implications for democratizing AI access, reducing infrastructure costs, and expanding LLM applications beyond resource-rich environments.

Original Paper: Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM