Open leaderboard that rates the energy efficiency of AI models for inference.
- Pricing
- Free
- Category
- AI Energy Monitoring
- Compliance
- Not stated
Category
Compression, distillation, routing and scheduling tools that cut the compute needed to serve a model.
Showing 9 of 9
Open leaderboard that rates the energy efficiency of AI models for inference.
k-bit quantization library for PyTorch that cuts LLM memory use for inference and training.
Open-source optimization toolkit for training and running transformer models efficiently.
C/C++ LLM inference with 1.5- to 8-bit quantization and broad hardware backend support.
Open-source library for quantizing and compressing LLMs for efficient vLLM deployment.
Open-source inference framework for LLM, vision-language and diffusion models.
Open-source library for optimizing LLM and visual generation inference on NVIDIA GPUs.
Rust, Python and gRPC toolkit for high-performance LLM serving with continuous batching.
Open-source LLM inference and serving library optimized for throughput.