@soleil_colza_ · X

brianhabana123 · HN

TensorRT-LLM running natively on Windows (no WSL)

@svpino · X

You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.

Ar5en1c · HN

Headroom – measure your GPU's true bandwidth ceiling for local AI

@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.

@PredictionsEdge · X

Check this Data center tycoon game. Think SimCity but for AI infrastructure: Land, power, cooling, GPUs, grid constraints, financial and operational reports.

@FaiqAdzlan · X

Built a GPU VRAM calculator to try out Claude Code (#cursorfanboy). I wanted it as granular as possible so I based it off of LLMem) which really just covers fine-tuning tbh. Please tear it to shreds: GitHub:

jaeseok614 · HN

Open-source calculator for "will my GPU run this LLM?"

popopanda · HN

LLM Inference Calculator – Estimate VRAM, Latency, and Throughput

@FPIAM2026 · X

u/Onnoz · Reddit

I built Shadertown: 45 WebGPU shaders for real web apps I built Shadertown , a catalogue of 45 fullscreen WebGPU backgrounds and image effects for the web. It includes auroras, fluid, particles, glass, bloom, ASCII, mosaics, neon signs, and more. Everything is rendered live in the browser with WebGPU — no videos or pre-rendered assets. npm install shadertown npx shadertown add aurora The CLI vendors the WGSL source, tuned parameters, example, README, and licence directly into your r

@daino0416 · X

If you don't have revenue, try it 🔥