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Dev tools · alternatives · 2026

24 alternatives to Utilyze – an open source GPU monitoring tool more accurate than nvtop

The 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…

Utilyze is an open-source GPU monitoring tool that measures actual compute and memory throughput instead of relying on standard metrics like those from nvidia-smi or nvtop. It samples hardware performance counters and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1SA

    I've frequently found myself using [nvitop](https://github.com/XuehaiPan/nvitop) to diagnose GPU/CPU contention issues. The two best things about it are: - It's easy to install if I can access pip in the container - It makes a compelling screenshot (which helps me communicate with coworkers.) With those two lessons in mind: Here is Sping! Purpose: Help observe and diagnose latency issues at layer 4+ (TCP/HTTP/HTTPS) Two good things about it: - It's easy to install if you have pip. (Available at…

    2025 · dseltzer.gitlab.io · its alternatives →

  2. 2

    Hey HN! We’re Max and Thibault building OpenStatus.dev an OpenSource synthetic monitoring platform with incident managements 1 min demo: https://twitter.com/mxkaske/status/1685666982786404352 We have just reached 2000 stars on GitHub https://github.com/openstatusHQ/openstatus We are really excited to hear your feedback/questions and connect further: our emails are [email protected] and [email protected]. Thank you!

    2025 · openstatus.dev · its alternatives →

  3. 3

    Hey HN. We’re Jay and Vadim from Highlight.io (https://highlight.io). We’re building an open source [1] monitoring platform for web applications. Today we’re excited to be sharing a performance tool we’ve been working on, which helps you inspect the latency of code execution from the client to the server. As engineers at past startups, we often had to debug slow queries, poor load times, inconsistent errors, etc... While tools like Jaegar [2] helped us inspect server-side performance, we had no way to tie user events to the traces we were inspecting. In other words, although we had…

    2024 · github.com · its alternatives →

  4. 4

    UXWizz is a self-hosted analytics platform with heatmaps, session recordings, user segments, secure accounts and AI. Improve your website and conversion rates.

    2020 · usertrack.net · its alternatives →

  5. 5

    cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions. - NVlabs/cutile-rs

    Jun 2026 · github.com · its alternatives →

  6. 6

    We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.

    2024 · thundercompute.com · its alternatives →

  7. 7

    Insights on GPU and AI infrastructure from Arc Compute. Read hardware deep-dives, deployment playbooks, and analysis of where the AI compute market is heading.

    2021 · arccompute.com · its alternatives →

  8. 8

    GPU 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

    Jul 2026 · github.com · its alternatives →

  9. 9

    Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://oblivus.com/cloud - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be…

    2023 · oblivus.com · its alternatives →

  10. 10

    allocscope - a memory tracking tool. Contribute to matt-kimball/allocscope development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  11. 11IM
  12. 12

    Real-time monitoring for NVIDIA GPU servers

    Oct 2025 · github.com · its alternatives →

  13. 13

    Compare GPU rental prices across cloud providers

    7d ago · gpu.context.dev · its alternatives →

  14. 14

    We 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.

    2022 · github.com · its alternatives →

  15. 15

    I built a small Linux tool to deterministically verify GPU PCIe link health and bandwidth. It reports: - Negotiated PCIe generation and width - Peak Host→Device and Device→Host memcpy bandwidth - Sustained PCIe TX/RX utilization via NVML - A rule-based verdict derived from observable hardware data only This exists because PCIe issues (Gen downgrades, reduced lane width, risers, bifurcation) are often invisible at the application layer and can’t be fixed by kernel tuning or async overlap. Linux-only: it relies on sysfs and PCIe AER exposure that Windows does not provide.

    Dec 2025 · github.com · its alternatives →

  16. 16TD

    WattWise is a CLI tool that monitors my workstation’s power draw using a smart plug and automatically throttles the CPU & GPUs during expensive Time-of-Use electricity periods. Built with Python, uses PID controllers for smooth transitions between power states. Works with TP-Link Kasa plugs and Home Assistant.

    2025 · naveen.ing · its alternatives →

  17. 17IB

    Senior full stack software engineer with 8+ years shipping production systems in React, Node.js, Python, and Rails. Previously a Product Engineer at Ghost. Based in South Korea.

    2021 · ronaldlangeveld.com · its alternatives →

  18. 18

    I’ve been experimenting with Rust lately and wanted a project that would help me explore some of its lower-level and performance-oriented features. Inspired by Sebastian Lague’s videos, I decided to implement my own ray tracer from scratch. The initial goal was just to render a simple 3D scene in the browser at a reasonable frame rate. It evolved into a small renderer that can: • Run locally or on the web using wgpu and WebAssembly • Perform mesh rendering with a Bounding Volume Hierarchy (BVH) for acceleration • Simulate both direct and indirect illumination for photorealistic results • Be…

    Nov 2025 · github.com · its alternatives →

  19. 19

    Hi HN, I built PantheonGPU because I wanted a better way to answer a simple question: is this GPU actually healthy and performing the way it should? A GPU can show normal temperatures and utilization and still be underperforming, unstable under certain workloads, or have memory, PCIe, or configuration issues. PantheonGPU actively tests the GPU instead of only monitoring telemetry. It currently includes 45+ tests covering compute, tensor workloads, memory, cache, PCIe, thermals, stability, and AI/LLM inference. It supports both NVIDIA CUDA and AMD ROCm. I’m also exploring a larger use…

    Aug 2026 · pantheongpu.com · its alternatives →

  20. 20

    Simple scheduler for running jobs on GPUs. Contribute to ExpectationMax/simple_gpu_scheduler development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  21. 21AG

    This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.

    2025 · rlafuente.com · its alternatives →

  22. 22

    The unix util `wc` running on a GPU. Contribute to fragmede/wc-gpu development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  23. 23

    GPU Comparison and Price Tracker

    2024 · its alternatives →

  24. 24AG

    We built, saga[1] a layer that lets smaller teams access enterprise GPU discounts through collective buying power. How it works: 1. Aggregate GPU spend across hundreds of ML teams 2. Get enterprise rates through combined volume 3. Pass savings to users, monetize via provider partnerships Technical notes: - Works at billing layer only (no access to code/data) - Supports existing cloud setups or managed GPUs - Private beta running since January, opening more spots for March - Currently seeing ~50% savings on H100s/A100s [1] https://trysaga.ai

    2025 · trysaga.ai · its alternatives →

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