GPU hot
Real-time monitoring for NVIDIA GPU servers
GPU hot launched on October 29, 2025 with 6 votes.
What it does
Real-time NVIDIA GPU monitoring that scales from one machine to dozens with a single Docker command. 500ms updates, web-based dashboard, and zero configuration. Built for developers who need simple GPU monitoring without complex infrastructure.
🔥 Real-time NVIDIA GPU dashboard. Contribute to psalias2006/gpu-hot development by creating an account on GitHub.
Real-time NVIDIA GPU monitoring dashboard. Lightweight, web-based, and self-hosted. Monitor a single machine or an entire cluster with the same Docker image. docker run -d --gpus all -p 1312:1312 ghcr.io/psalias2006/gpu-hot:latest Multiple machines: # On each GPU server docker run -d --gpus all -p 1312:1312 -e NODE_NAME= $( hostname ) ghcr.io/psalias2006/gpu-hot:latest # On a hub machine (no GPU required) docker run -d -p 1312:1312 -e GPU_HOT_MODE=hub -e NODE_URLS=http://server1:1312,http://server2:1312,http://server3:1312 ghcr.io/psalias2006/gpu-hot:latest Open http://localhost:1312 Process monitoring: Add --init --pid=host to see process names. Note: This allows the container to access…from github.com
Does a similar job
all alternatives →
Utilyze – an open source GPU monitoring tool more accurate than nvtopApr 2026 · systalyze.com · ▲128The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…
Software for Remote GPU-over-IP2022 · github.com · ▲138We built installable software for Windows & Linux that makes any remote Nvidia GPU accessible to, and shareable across, any number of remote clients running local applications, all over standard networking.
- TCTensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147
Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…
L9gpu – GPU telemetry that ties each GPU to the K8s pod or Slurm jobJul 2026 · github.com · ▲20GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU. - last9/gpu-telemetry
Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)2016 · github.com · ▲80An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
A simple scheduler for running jobs on GPUs2019 · github.com · ▲60Simple scheduler for running jobs on GPUs. Contribute to ExpectationMax/simple_gpu_scheduler development by creating an account on GitHub.
More dev tools this month
the category →
open-source IDE for thoughtful software design. Contribute to devdotfast/whiteboard development by creating an account on GitHub.
Dev tools · 28d ago · github.com
Contribute to reladraw/reladraw development by creating an account on GitHub.
Dev tools · 26d ago · github.com
OpenBotâ–˛362Grok Bot alternative: free, local, open-source, multiplayer
Dev tools · 23d ago · openbot.run
Talanoa▲346Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…
Dev tools · 21d ago · talanoa.email
CoreSpeedâ–˛332One MCP for everything your agents need: apps, memory, tools
Dev tools · 28d ago · corespeed.io
Source: Product Hunt launch ↗
Launched alongside, October 2025
the whole month →
Strange Attractors▲804I went down the rabbit hole on a side project and ended up building this: Strange Attractors(https://blog.shashanktomar.com/posts/strange-attractors). It’s built with three.js. Working on it reminded me of the little "maths for fun" exercises I used to do while learning programming in early days. Just trying things out, getting fascinated and geeky, and being surprised by the results. I spent way too much time on this, but it was extreme fun. My favorite part: someone pointed me to the Simone Attractor on Threads. It is a 2D attractor and I asked GPT to extrapolate it to…
AI · Oct 2025 · blog.shashanktomar.com
Autism Simulator▲779Hey all, I built this. It’s not trying to capture every autistic experience (that’d be impossible). It’s based on my own lived experience as well as that of friends on the spectrum. I'm trying to give people a feel for what masking, decision fatigue, and burnout can look like day-to-day. That’s hard to explain in words, but easier to show through choices and stats. I'm not trying to "define autism". I’ve gotten good feedback here about resilience, meds, and difficulty tuning. I’ll keep tweaking it. If even a few people walk away thinking, "ah, maybe that’s why my coworker struggles in those…
Life & fun · 2025 · autism-simulator.vercel.app
