Developer Tools1 month ago
Arkor: Build a custom model with your coding agent
Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
Open source
@soleil_colza_ · X
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60 projects
Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
@soleil_colza_ · X
Run LLM inference on consumer GPUs with NVIDIA TensorRT-LLM optimization.
brianhabana123 · HN
TensorRT-LLM running natively on Windows (no WSL)
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.
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
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.
Build and manage a data center campus with power, cooling, and GPU economics.
@PredictionsEdge · X
Check this Data center tycoon game. Think SimCity but for AI infrastructure: Land, power, cooling, GPUs, grid constraints, financial and operational reports.
Calculate GPU VRAM requirements for LLM fine-tuning and inference.
@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:
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?"
Estimate GPU memory, latency, TTFT, TPOT, and throughput for LLM inference.
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput
Enterprise-grade identity and access management. Manage users, roles, permissions, MFA, and API credentials from a single portal. Free tier available.
@FPIAM2026 · X
Browse and customize 45 WebGPU visual effects, then add them to your web apps.
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
TMatic is the growth operating system built for solo founders. Protect your attention from email spam while AI automates your pipeline.
@daino0416 · X
If you don't have revenue, try it 🔥