A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
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Sep 15, 2026 - C
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A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
Thin, unified, C++-flavored wrappers for the CUDA APIs
gpu modern-cpp cuda gpgpu api-wrapper gpu-memory gpu-computing cuda-driver-api cuda-toolkit cuda-device cuda-runtime-api cuda-driver gpgpu-computing cuda-api-wrappers cuda-programming
Training neural networks in TensorFlow 2.0 with 5x less memory
A Toolkit for Training, Tracking, Saving Models and Syncing Results
A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.
Windows utility focused on out of memory recovery, vram error, and local AI crash for local AI workflows.
windows gpu-memory recovery troubleshooting stability oom out-of-memory vram llm 2026 local-ai pc-ai
Windows utility focused on vram optimization, llm memory usage, and gpu memory budget for local AI workflows.
cuda gpu-memory gpu-acceleration cuda-kernels compression-schemes compression-algorithm compression-implementations
OpenCV & Spout C++ library. Shared GPU memory and processing at reach.
Rust embedded things running on the seL4 microkernel for the Raspberry Pi 3
rust gpu graphics gpu-memory rpi3 aarch64 dma raspberry-pi-3 sel4 rust-embedded embedded-hal fel4 sel4-microkernel cargo-fel4
A tiny, useful command-line tool to show each user gpu usage, pid under each gpu, provide more details than nvidia-smi/gpustat
Python library for memory-constrained activation checkpoint optimization, recomputation scheduling, and GPU training performance analysis.
A simple tool to find out GPU VRAM requirements for running LLMs
A CLI to plan, order and run multiple local AI services on NVIDIA GPUs, and catch memory problems before anything starts.
python docker cli gpu self-hosted orchestration nvidia gpu-memory nvidia-smi model-serving vram llm vllm llm-inference local-ai
A prefix-cache advisor for LLM serving infrastructure that recommends KV-cache capacity and eviction policies from your request traces/logs.
Demonstration of generating mini-batches in Tensorlfow from GPU memory.
Accurate VRAM calculator for Local LLMs (Llama 4, DeepSeek V3, Qwen 2.5). Calculates GGUF quantization, GQA context overhead, and offloading limits
V-native Vulkan memory allocator with budget-aware placement, block suballocation, upload rings and diagnostics.
gpu graphics vulkan gpu-memory memory-management v observability fragmentation allocators vlang memory-budget suballocator staging-buffer
LLM GPU Toolkit: estimate VRAM, training/inference GPU needs, multi-GPU allocation, and quantization impact. 大模型 GPU 显存与算力估算。by jammyfu / PaintingCoder
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