Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work
GitHub repository with 382 stars and 10 forks.
Language: Shell
Topics: cuda, gpu, laptop, linux, memory, nbd, nvidia, swap, vram
Trending score 2.51, activity score 0.05, stars gained +220, forks gained +5.
2026-06-04: 382 stars and 10 forks.
Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work
GitHub repository with 382 stars and 10 forks.
Trending score: 2.51; stars gained: +220; forks gained: +5.
Language: Shell
Topics: cuda, gpu, laptop, linux, memory, nbd
antirez/ds4 (DwarfStar 4) on NVIDIA DGX Spark — install, benchmarks, and roofline analysis. Steady-state decode at ~95% of bandwidth ceiling; MTP and concurrency analyzed.
GitHub repository with 23 stars and 0 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Shell
Topics: benchmark, cuda, deepseek-v4-flash, dgx-spark, gb10, gguf
Optimized vLLM setup for Gemma 4 31B NVFP4 with MTP on dual RTX PRO 6000 Blackwell using vllm and docker: native FP4 Tensor Cores, Multi-Token Prediction (96.5% acceptance rate), and prefix caching. Includes benchmark results and replication scripts.
GitHub repository with 5 stars and 0 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Shell
Topics: am5, amd, blackwell, cuda, docker, fp4
Measuring frontier coding agents on original, long-horizon engineering tasks
GitHub repository with 608 stars and 32 forks.
Trending score: 3.01; stars gained: +38; forks gained: +3.
Language: Shell
GitHub repository with 2,656 stars and 373 forks.
Trending score: 2.76; stars gained: +27; forks gained: +5.
Language: Shell
Mirror official Codex desktop app installers into GitHub Releases.
GitHub repository with 369 stars and 19 forks.
Trending score: 2.58; stars gained: +26; forks gained: +1.
Language: Shell
Topics: codex-app, github-actions, installer-mirror, macos, microsoft-store, msix
Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work
GitHub repository with 382 stars and 10 forks.
Trending score: 2.51; stars gained: +220; forks gained: +5.
Language: Shell
Topics: cuda, gpu, laptop, linux, memory, nbd
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
GitHub repository with 107,396 stars and 17,716 forks.
Trending score: 2.47; stars gained: +293; forks gained: +38.
Language: Shell
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
GitHub repository with 24,126 stars and 2,448 forks.
Trending score: 2.40; stars gained: +23; forks gained: +4.
Language: Shell
Topics: a2a, a2a-mcp, a2a-protocol, a2a-server, agents, generative-ai
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,868 stars and 6,327 forks.
Trending score: 2.89; stars gained: +14; forks gained: +31.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work
GitHub repository with 382 stars and 10 forks.
Trending score: 2.51; stars gained: +220; forks gained: +5.
Language: Shell
Topics: cuda, gpu, laptop, linux, memory, nbd
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 81,932 stars and 17,647 forks.
Trending score: 2.08; stars gained: +131; forks gained: +40.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
Pure Rust Inference Engine
GitHub repository with 471 stars and 65 forks.
Trending score: 1.99; stars gained: +10; forks gained: +1.
Language: Rust
Topics: cuda, dgx, dgx-spark, gb10, llm-inference, mamba
A GPU cluster manager that configures and orchestrates inference engines like vLLM and SGLang for high-performance AI model deployment.
GitHub repository with 5,099 stars and 541 forks.
Trending score: 1.85; stars gained: +10; forks gained: +2.
Language: Python
Topics: ascend, cuda, deepseek, distributed-inference, genai, inference
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
GitHub repository with 1,493 stars and 479 forks.
Trending score: 1.66; stars gained: +5; forks gained: +3.
Language: C++
Topics: accelerator, ai, cuda, deepseek, gpu, img-gen