#python #5g #6g #communications #deep_learning #gpu_acceleration #link_level_simulation #machine_learning #open_source #reproducible_research

https://github.com/NVlabs/sionna

#rust #gpu #native_libraries #webgpu

https://github.com/gfx-rs/wgpu

#other #control #cpu #curves #fan #fancontrol #gpu #pwm #speed #temperature

https://github.com/Rem0o/FanControl.Releases

#python #cublas #cuda #cudnn #cupy #curand #cusolver #cusparse #cusparselt #cutensor #gpu #nccl #numpy #nvrtc #nvtx #rocm #scipy #tensor

https://github.com/cupy/cupy

#cplusplus #compiler #gpu_programming #high_performance #llvm #parallel_programming #python

https://github.com/exaloop/codon

#python #cloud_computing #cloud_management #data_science #deep_learning #distributed_training #gpu #hyperparameter_tuning #job_queue #job_scheduler #machine_learning #ml_infrastructure #multicloud #serverless #spot_instances #tpu

https://github.com/skypilot-org/skypilot

#java #cpu #deep_learning #docker #gpu #kubernetes #machine_learning #metrics #mlops #optimization #pytorch #serving

https://github.com/pytorch/serve

#python #command_line_tool #console #cuda #curses #gpu #gpu_monitoring #htop #monitoring #monitoring_tool #nvidia #nvidia_smi #nvml #process_monitoring #resource_monitor #top

https://github.com/XuehaiPan/nvitop

#scala #big_data #gpu #rapids #spark

https://github.com/NVIDIA/spark-rapids

#python #billion_parameters #compression #data_parallelism #deep_learning #gpu #inference #machine_learning #mixture_of_experts #model_parallelism #pipeline_parallelism #pytorch #trillion_parameters #zero

DeepSpeed is a powerful tool for training and using large artificial intelligence models quickly and efficiently. It allows you to train models with billions or even trillions of parameters, which is much faster and cheaper than other methods. With DeepSpeed, you can achieve significant speedups, reduce costs, and improve the performance of your models. For example, it can train ChatGPT-like models 15 times faster than current state-of-the-art systems. This makes it easier to work with large language models without needing massive resources, making AI more accessible and efficient for everyone.

https://github.com/microsoft/DeepSpeed