rtx-5080

RTX 5090 & RTX 5060 Docker container with PyTorch + TensorFlow. First fully-tested Blackwell GPU support for ML/AI. CUDA 12.8, Python 3.11, Ubuntu 24.04. Works with RTX 50-series (5090/5080/5070/5060) and RTX 40-series.

Selective fused FP8 checkpoint + ComfyUI runtime for LingBot-Video Dense 1.3B. Measured 1.27x in a local one-step RTX 5080 sampler smoke test; T2V, TI2V, experimental FLF.

Pearl (PRL) GPU miner for NVIDIA RTX 20/30/40/50 and CMP 40HX. Set up in about a minute, per-card auto-tune, phone dashboard, signed updates. 1% dev fee, shown live.

Single-GPU passthrough of an RTX 50 series (Blackwell, 5080 in test case) to a VM on Linux: scripts, EndeavourOS ISO patcher, and the fixes for the black guest screen and the black host display after guest shutdown.

Run an open-weights model as a local AI agent on an RTX 5080 16 GB + 32 GB RAM Windows PC: llama.cpp + OpenClaw, a web console that checks it's running optimally, model switching, and an optional local voice.

Downstream llama.cpp TurboQuant CUDA fork with adaptive KV layout selection for long-context inference on consumer Blackwell GPUs.

Provide tested tools and configs to run Qwen 3.5 GGUF models efficiently on a single 16GB NVIDIA GPU using llama.cpp locally.

JARVIS Mark-VII — Orchestrateur IA Vocal & Cyberdéfense 100% Local (Qwen 3.5 9B, Faster-Whisper CUDA RTX 5080, RAG Vectoriel SQLite-vec, 22 Outils MCP) sous Debian 12/13 & Proxmox VE.

Attention kernel for the RTX 5080 (sm_120): as fast as SageAttention 2 on WAN 2.2, at less than half its error.

Pearl (PRL) NoisyGEMM GPU miner for NVIDIA RTX 30/40/50 (Ampere, Ada, Blackwell) — Windows, Linux, HiveOS. 0.5% dev fee.

Experimental Qwen3.8 Flash Next inference for NVIDIA RTX 5080 on native Windows, with Basalt reliability fixes and reproducible Pi/OpenCode agent tests.

Local AI dubbing studio for games: voice-clone every line with Qwen3-TTS, auto-check with Whisper, fix and install — under 1 s per line on one GPU (CUDA graphs + batching). EN/RU.

Kernel module unlocking the GPU power limit on HP OMEN MAX 16 (8D87) from 80 W to 175 W, with a fail-closed watchdog

One-command standalone ComfyUI that runs only the Z-Image-Turbo text-to-image workflow. Built for RTX 50-series (Blackwell, cu128).

Scripts and notes for a local Ubuntu 24.04 + RTX 5080 AI workstation: Blackwell-tuned ComfyUI launch, Ollama, nightly backups, model downloaders.

Per-pin 12V-2x6 current protection for ASUS ROG Astral graphics cards.

CUDA backend for rmems/agoge-forger: local LLM fine-tuning and training kernels on RTX 5080 (Blackwell sm_120, ~16 GB).

True Q4_K_M Qwen3.8-27B at 64K on an RTX 5080 16 GB using selective FFN offload, llama.cpp, and Pi.

ComfyUI Docker container with native NVIDIA GeForce RTX 5090 Blackwell (sm_120) and CUDA 12.8 support

Pre-built onnxruntime-gpu 1.24.1 with Blackwell sm_120 CUDA kernels (RTX 5090/5080/5070)