Developer Tools2 days ago
AI Hardware Fit — 내 GPU에서 돌아가는 AI 모델 찾기
Check which LLMs run on your GPU given your hardware specs and budget.
Open source
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
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60 projects
Check which LLMs run on your GPU given your hardware specs and budget.
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
Measure your GPU's real memory-bandwidth ceiling for local AI in 30 seconds.
Ar5en1c · HN
Headroom – measure your GPU's true bandwidth ceiling for local AI
Run LLM inference on consumer GPUs with NVIDIA TensorRT-LLM optimization.
brianhabana123 · HN
TensorRT-LLM running natively on Windows (no WSL)
Real Android device hardware database — sensors, SoC, GPU, memory, display, and fingerprints from thousands of real devices.
@DevCheckAI · X
Building DevCheck AI — spot fake/refurbished Android phones & sketchy IPs & hardware self-test. 80,000+ real device specs at 📲
Deploy AI inference models on serverless GPUs with sub-200ms cold starts and pay-per-second billing.
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.
Generate 4K videos from text or images directly in your browser, no GPU needed.
Wan3Pro — AI 在线视频生成工具
Analyze Go games with KataGo AI on cloud GPUs, compatible with KaTrain.
malusama · V2EX
[分享创造] 给没有显卡的棋友：一个可直接接 KaTrain 的云端 KataGo 服务 电脑没显卡，或者笔记本跑不动全盘复盘，但想用 KaTrain 分析棋谱？我做了一个云端 KataGo 服务，KaTrain 里只需要填一个 WSS 地址。 ## 怎么接入 - 注册后拿到 Token： https://go.malu.moe - KaTrain v1.18+ 的设置里，Remote Engine 填：`wss://go.malu.moe/v1/katago/<你的 Token>` - 走的是标准 KataGo Analysis Engine JSON over WebSocket ，复盘、深度分析、Sweep 这些功能都兼容 - 不想用 GUI 的话也有 REST 接口：`POST /v1/analyze` ## 免费额度（注册即用，不用绑卡） - 单次分析最多 1,000 visits - 每月 1,000,000 visits ，按 KaTrain 默认 500 visits/手算，大约够 10 局全盘复盘 - 并发 1 ，最多 5 个 Token
Find AI models optimized for your hardware with performance and pricing estimates.
cdnsteve · HN
Tokenstead, find AI models for your hardware
Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
Enterprise memory management dashboard
@dingfengtow_df · X
Just launched: Aristra public beta Agentic platform built on the Aristra Memory System. Persistent context of how you work + always-on agents. Memory is modular, also works with Codex, Claude Code, and other agent systems. Limited spots open.
DeCave — gaming voice, Hubs, friends and high-quality screen sharing with up to 2K resolution and 60 FPS options on Windows and the web.
@DeCaveApp · X
Detect your PC hardware and find which open-source AI models you can run locally.
aamir_zahran · Product Hunt
Ai Can Run Check which AI models your PC can actually run — no installs