Lightweight desktop tool for Call of Duty: Modern Warfare 4. Smart FPS optimization, performance tuning, process management and real-time monitoring. Designed to improve frame rates and stability. Regularly updated.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
In order to make it easier to use the ComfyUI, I have made some optimizations and integrations to some commonly used nodes.
PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.
ComfyUI custom nodes for MiniMax H3 long-form video/audio generation with streamed Sol attention, compressed KV, adaptive VRAM guards, chunked MLP/final output, and SAFE long-sequence optimizations for limited VRAM.
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Native MiniMax-H3 inference acceleration for ComfyUI, integrating Exact Runtime optimizations with Sana Sol-Attn, rectangular Q/KV attention, and composable support for VDN, Spectrum, Untwisting RoPE, Diff-Aid, and Flow mixed-grid workflows.
ComfyUI MiniMax H3 inference optimizations for NVIDIA Tesla V100 (SM70)