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Frequently asked questions
CUDA Army specializes in optimizing neural network training and inference pipelines for Nvidia GPUs and libraries such as CUDA, CuBLAS, CuTLASS, CuDNN, CuTe, NCCL, and NVSHMEM. They also provide services for other platforms and DSLs upon request. Their expertise includes quantization, pruning, distillation, distributed systems, parallelization, sharding, compilers, and custom kernels like Flash-Attention variants.
CUDA Army has worked on a variety of projects including Computer Vision & Image Processing, SLAM & Robotics Systems, Reinforcement Learning, Large Language Models & Fine-tuning, and 3D Graphics & Rendering. They also train custom models using proprietary data while ensuring privacy and security.
The team at CUDA Army is experienced in various areas including quantization, pruning, distillation, distributed systems, parallelization, sharding, compilers, and custom kernels. They focus on optimizing neural network performance specifically for Nvidia hardware.
CUDA Army maintains data privacy and security by training custom models using proprietary data while implementing strict protocols to protect sensitive information throughout the process.