#Multi-gpu
Showing 9 of 9 repositories tagged #multi-gpu, ranked by stars
The Forge Cross-Platform Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Auto-tuned launcher for GGUF models on llama.cpp / ik_llama.cpp — OpenAI-compatible server with multi-GPU tensor-split, MoE expert placement, measured flag tuning (AI Tune), hardware-matched HuggingFace downloads, and crash recovery. An Ollama alternative for multi-GPU rigs.
TorchDR - PyTorch Dimensionality Reduction
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU, autoscaling, air-gapped, production-ready.
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.