ml-energy / zeusLinks
Measure and optimize the energy consumption of your AI applications!
☆329Updated last week
Alternatives and similar repositories for zeus
Users that are interested in zeus are comparing it to the libraries listed below
Sorting:
- A canonical source of GenAI energy benchmark and meausrements☆50Updated last month
- A resilient distributed training framework☆96Updated last year
- ACT An Architectural Carbon Modeling Tool for Designing Sustainable Computer Systems☆44Updated 6 months ago
- torchcomms: a modern PyTorch communications API☆321Updated this week
- A large-scale simulation framework for LLM inference☆527Updated 6 months ago
- Multi-Instance-GPU profiling tool☆58Updated 2 years ago
- Perplexity open source garden for inference technology☆340Updated last month
- Carbon Explorer helps evaluating solutions make datacenters operate on renewable energy.☆87Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆276Updated 3 months ago
- PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for…☆155Updated this week
- Microsoft Collective Communication Library☆66Updated last year
- A low-latency & high-throughput serving engine for LLMs☆470Updated 2 weeks ago
- An interference-aware scheduler for fine-grained GPU sharing☆159Updated 2 months ago
- Modyn is a research-platform for training ML models on growing datasets.☆51Updated 8 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆257Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆63Updated 3 years ago
- LLM Serving Performance Evaluation Harness☆82Updated 11 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆232Updated this week
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆134Updated last year
- A library to analyze PyTorch traces.☆460Updated this week
- ☆83Updated 3 months ago
- Model-less Inference Serving☆93Updated 2 years ago
- ☆48Updated last year
- Dynamic resources changes for multi-dimensional parallelism training☆30Updated 5 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- An experimental parallel training platform☆56Updated last year
- Fast low-bit matmul kernels in Triton☆423Updated last month
- LLM checkpointing for DeepSpeed/Megatron☆23Updated last month
- 🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.☆64Updated last year
- ☆252Updated last year