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OpenLake, GPU tabanlı LLM inference ve training iş yükleri için dağıtık, kalıcı ve yüksek throughput hedefleyen bir storage engine'dir.

Neden yükseliyor · 154 günlük bir repo için 2.658 yıldız dikkat çekici; KV cache offload ve GPU kullanımını artırma gibi güncel, maliyetle doğrudan ilişkili bir altyapı sorununa odaklanıyor. Son 28 günde 16 commit var, ancak bunlar yalnızca 3 farklı yazardan geliyor. README'deki benchmark ve performans iddiaları proje tarafından yayımlanmış; verilen bilgiler bağımsız doğrulamayı göstermiyor.

🧱 Experimental library for building inference engines

A blazingly fast programmatic video engine, made for agents.

tty7, oturumları uygulama kapandıktan sonra da sürdüren; shell, SSH ve coding agent iş akışlarını bir araya getiren Rust tabanlı bir terminal workbench’tir.

Neden yükseliyor · 83 günlük yaşına karşın 1124 yıldız ve son 28 günde 320 commit, projeye belirgin ilgi ve yoğun geliştirme olduğunu gösteriyor. README’deki persistent sessions, agent desteği ve SSH özelliklerini tek bir terminal workbench’te birleştirmesi de dikkat çekici; ancak son dönemdeki 4 farklı yazar, geliştirme etkinliğinin sınırlı sayıda kişide toplandığını gösteriyor.

Uncensored DeepSeek-V4.1-Flash IQ2_XS on Google Colab

A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T

Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how

Local speech-to-text at GPU speed: Parakeet, GigaAM and Whisper in pure Rust, as a library and an ollama-like CLI

High-performance native SSH client in Rust, GPU-rendered with GPUI: host manager, terminal, WinSCP-style SFTP and port forwarding. Rust 编写、G

Programmable, verifiable execution on Xbox Series X Developer Mode, with agent-native workflows, XVM, CPU/GPU runtimes and evidence-bound ex

A MoE inference engine you can read in an afternoon.

ModelSphere is an open-source LLM inference infrastructure designed to make production-grade model serving simple, efficient, and continuous

🔥 AI agent that ports CUDA code to AMD ROCm using local LLMs — FastAPI + React + Ollama | Live: rocmporter-agent.vercel.app

Feel how fast a local LLM runs before you buy the hardware

SiliconScope, Apple Silicon Mac’lerde sistem kaynaklarını ve özel hızlandırıcıları izleyen, ayrıca uzaktaki makineleri aynı panele ekleyebilen bir macOS monitörüdür.

Neden yükseliyor · 111 günde 966 yıldıza ulaşması ve son 28 günde 48 commit alması dikkat çekiyor; README’deki ANE ve memory-bandwidth ölçümleriyle uzaktaki makineleri tek panelde toplama özellikleri de ayırt edici bir kullanım vaadi sunuyor. Üç farklı yazar aktiviteye işaret etse de ekip genişliği sınırlı; yıldızlar tek başına benimseme veya kalite kanıtı değil.

Run any local LLM engine, auto-tuned to your GPU — polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine

An agentic system that auto-optimizes LLM workloads on AMD GPUs.

An open-source inference engine for AI functions in SQL

Real-time hardware and LLM inference monitoring — GPU, CPU, memory, and vLLM metrics streamed to a dashboard.

CLI-native local AI image and video generation for people, scripts, and agents — CUDA on Linux, Metal on macOS, plus desktop, web, iPhone, R

Serve your models fast on your own infra in 3 steps.

Local-first AI assistant for Windows: voice (Whisper+Piper), webcam vision, FLUX image gen, image-to-3D, memory, 80+ tools. OpenAI-compatibl

Self-hosted homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, energy costs. Read-only MCP server so AI agents can ex

Turn any document or a whole zip into an interactive knowledge graph, using a self-hosted Qwen3.6-35B-A3B-MTP on a single NVIDIA L4

Fastest MoE/LLM inference runtime for consumer and edge Blackwell GPUs. SN74 on Gittensor.

Legacy: self-hosted LLM/RAG stack installer for DGX Spark (arm64). The work continued as AGmind Systems Lab — measured local-LLM performance

Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.

A GPU-rendered, terminal-first workspace: Agent framework, real shells, IDE, Markdown, and multiplayer — one Rust engine.

Model Dispatch and Memory Allocator: an LLM inference engine for the hardware you own. Custom CPU, ROCm, Vulkan, CUDA, Metal and Level Zero

Catch local LLMs spilling into the CPU. One run shows GPU placement, prefill, decode, memory, power and a verdict.

Rust game engine for huge physics scenes: 10,000 GPU-simulated cubes at 2,000+ FPS on an RTX 3060. Vulkan, editor, deterministic replay, age

Realtime TUI monitor for local LLM servers (ollama, llama.cpp). The only GPU monitor that knows what model is running and how much each toke

collabosm, kullanıcının Google Colab hesabında GPU başlatıp Qwen3.8 modellerini yerel uygulama ve OpenAI uyumlu API üzerinden kullanmasını sağlar.

Neden yükseliyor · 3 günlük bir repoda 87 yıldız dikkat çekici bir başlangıç; ancak yıldızların neden geldiği ve kullanıcıların uygulamayı gerçekten çalıştırıp çalıştırmadığı mevcut verilerden anlaşılamıyor. Son 28 günlük commit ve farklı yazar ölçümleri de yok.

The Best TypeScript framework for fine-tuning

Run your AI agents on machines you already own, as one private P2P mesh. OpenAI-compatible, sandboxed with Podman, signed reputation, no clo

Self-hosted vLLM made simple. Git-friendly YAML for models and profiles, full lifecycle from an intuitive CLI and TUI.

Local AI agent sandbox runtime with Firecracker, gVisor, and NVIDIA GPU sandbox support.

Self-hosted meeting transcription portal — speech-to-text, speaker diarization, LLM-corrected transcripts, structured summaries and Word min

First open-source TurboQuant KV cache compression for LLM inference. Drop-in for HuggingFace. pip install turboquant.

Can my GPU run this? Pick a GPU to get 3 fitting AI models, quantization, VRAM, speed ranges, and run commands. 한국어·English.

Eve Agent V2 Unleashed — local-first autonomous AI coding agent powered by Ollama

A narrative walk through 90 years of AI history, paper by paper. 66 chapters from Turing 1936 to Blackwell 2025.

One GPU. Full LLM workflow. Real benchmarks. No cloud required.

Compute-for-memory research lab for running larger LLMs on memory-constrained consumer GPUs. Official website exvram.pro

SpeakCrate: self-hosted text-to-speech API powered by Kokoro. OpenAI-compatible speech endpoint, 50+ voices across 9 languages, streamed aud

Unified KV-cache compression for LLM inference: 12 Python-native methods, guarded add-on composition and routing, analytical capacity simula

A free textbook on building an LLM inference stack from scratch in Rust.

Lynn 原生 LLM 推理引擎 · W4A8/NVFP4 量化 · 自写 CUDA/Triton kernel · MoE · 投机解码 | Lynn-native LLM inference engine for NVIDIA Blackwell

Your all-in-one funscript editor, generator, and player. Free tracking algorithms. A Pro Pass unlocks the next level AI generation right on

Why is LLM inference slow — and how do you make it fast? A hands-on, first-principles course: roofline → KV cache → quantization → paralleli