ml-energy / zeusLinks
Measure and optimize the energy consumption of your AI applications!
☆276Updated last week
Alternatives and similar repositories for zeus
Users that are interested in zeus are comparing it to the libraries listed below
Sorting:
- How much energy do GenAI models consume?☆46Updated 2 months ago
- A resilient distributed training framework☆94Updated last year
- A large-scale simulation framework for LLM inference☆414Updated 2 weeks ago
- ACT An Architectural Carbon Modeling Tool for Designing Sustainable Computer Systems☆40Updated 2 weeks ago
- Microsoft Collective Communication Library☆65Updated 8 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆126Updated last year
- A library to analyze PyTorch traces.☆402Updated this week
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆215Updated last month
- LLM Serving Performance Evaluation Harness☆79Updated 5 months ago
- Multi-Instance-GPU profiling tool☆60Updated 2 years ago
- Carbon Explorer helps evaluating solutions make datacenters operate on renewable energy.☆81Updated 9 months ago
- A low-latency & high-throughput serving engine for LLMs☆400Updated 2 months ago
- PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for…☆149Updated this week
- LLM KV cache compression made easy☆566Updated last week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆191Updated 2 weeks ago
- ☆251Updated last year
- An interference-aware scheduler for fine-grained GPU sharing☆143Updated 6 months ago
- Fast low-bit matmul kernels in Triton☆339Updated this week
- A curated list of awesome projects and papers for distributed training or inference☆241Updated 10 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆225Updated 8 months ago
- Stateful LLM Serving☆79Updated 4 months ago
- 🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.☆64Updated 6 months ago
- Model-less Inference Serving☆90Updated last year
- ☆47Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆63Updated 2 years ago
- ☆67Updated last year
- Perplexity GPU Kernels☆418Updated 3 weeks ago
- Serverless LLM Serving for Everyone.☆515Updated last week
- Ultra and Unified CCL☆459Updated this week
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆13Updated last year