Havuz

Render Anything Engine: tell your AI what to make. Videos, motion graphics, 3D and games as React and TypeScript, rendered on your own GPU.

A blazingly fast programmatic video engine, made for agents.

🧱 Experimental library for building inference engines

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

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

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

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.

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

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

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

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.

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

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

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

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

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

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.

A MoE inference engine you can read in an afternoon.

An open-source inference engine for AI functions in SQL

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

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

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

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

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

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

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

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.

Native macOS terminal with GPU rendering, durable sessions, coding-agent workflows, and SSH connectivity. Session host, daemon, and CLI supp

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

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

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

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

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

The Best TypeScript framework for fine-tuning

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

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

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

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

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

Declarative Python SDK for building AI inference platforms on Kubernetes — bare machines to a served model, composed rather than hand-assemb

LLM Infra 工程实战 — 面向应用层工程师的 LLM 基础设施

nvtop for vLLM — an interactive terminal dashboard for vLLM serving performance (concurrency, throughput, cache & KV memory, latency, spec-d

Multi-GPU prefill acceleration for llama.cpp

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 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