A software-enabled memory and storage integration solution designed to extend AI workload capacity beyond GPUs.

AI Scaler Toolkit helps optimize how AI workloads use GPU, DRAM, and SSD resources. By extending workload capacity beyond GPU memory, it enables enterprises to build a more flexible on-prem AI infrastructure for inference and fine-tuning scenarios.

AI Scaler Toolkit adjusts GPU, DRAM, and SSD resources based on workload needs, supporting inference, fine-tuning, and development testing. It helps businesses, research institutions, and developers stay competitive in AI with limited resources while making AI infrastructure more accessible.

Built on the AI Scaler Toolkit’s flexible resource allocation design, enterprises can expand not only through additional GPUs, but also with more DRAM and SSD capacity. This helps enterprises build scalable AI computing environments with improved resource utilization and a more practical infrastructure investment.

Free to download and built for open-source integration, AI Scaler Toolkit helps enterprises evaluate how to build on-prem AI deployment environments. Its open-source design allows users to adapt, modify, and deploy the solution freely, without being tied to any specific hardware configuration.
By extending AI workloads beyond GPU memory to DRAM and SSD, AI Scaler Toolkit helps reduce dependency on additional GPUs. This enables enterprises to expand on-prem AI capability with a more cost-efficient architecture.

TRUSTA accelerates real-world enterprise AI adoption with flexible on-prem AI solutions, integrating enterprise SSDs, high-capacity DDR5 R-DIMM memory, and AI Scaler Toolkit to deliver stable, high-speed, energy-efficient, and scalable infrastructure for