Search Results for "cpu gpu monitor"
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Showing 531 open source projects for "cpu gpu monitor"
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GPU Hot
Real-time NVIDIA GPU dashboard
GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. The dashboard collects and displays a wide range of performance metrics... -
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CPU Info
CPU Info provides information about device hardware and software
CPU Info provides the main information about the hardware and software of your device. -
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mactop
Apple Silicon Monitor Top written in pure Golang
mactop is a terminal-based monitoring tool "top" designed to display real-time metrics for Apple Silicon chips. It provides a simple and efficient way to monitor CPU and GPU usage, E-Cores and P-Cores, power consumption, and other system metrics directly from your terminal. -
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Stats
macOS system monitor in your menu bar
Stats currently supported on macOS 10.13 (High Sierra) and higher. Stats is an application that allows you to monitor your macOS system. CPU utilization, GPU utilization, memory usage, disk utilization, sensors information (Temperature/Voltage/Power), battery level, network usage, fans speed, fan control, and Bluetooth devices. Supports many languages, such as English, Polski, Українська, Русский, and many more. You can help by adding a new language or improve existing translation. -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. -
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TrafficMonitor
Floating window used to display current network speed, CPU & memory
TrafficMonitor is a network monitoring software with floating window feature for Windows. It displays the current internet speed and CPU and RAM usage. There are also other capabilities like an embedded display in the taskbar, changeable display skins, and historical traffic statistics. There are two versions of TrafficMonitor, the standard version and the Lite version. The standard version includes all the functions, while the Lite version does not include hardware monitoring functions such as temperature monitoring, GPU usage, and hard disk usage. ... -
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btop
A monitor of resources
btop is a cross-platform, C++ resource monitor featuring a terminal-based UI, rich visuals, and live stats for CPU, RAM, disks, networks, and processes. It supports mouse controls, filters, signal sending (SIGTERM/KILL), theme customization, GPU, battery support, and runs on Linux, macOS, BSD (with specific builds), via static binaries linked with musl. -
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Easy GPU PV
A Project dedicated to making GPU Partitioning on Windows easier
Easy-GPU-PV is an open-source project that automates the relatively complex steps required to set up GPU Paravirtualization (GPU-PV) on Windows Hyper-V, letting you partition a physical GPU and assign slices to virtual machines for low-latency remote use. It creates and installs a Windows VM, copies the necessary GPU-PV driver files into the VM, and helps install Parsec (an ultra-low-latency remote-desktop client) so you can connect to the VM at high framerates. The repo is practical and... -
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MCP Monitor
A system monitoring tool that exposes system metrics
The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. -
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XMRig
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
High performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT CPU/GPU miner, RandomX benchmark, and stratum proxy. XMRig is a high-performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS, and FreeBSD. The preferred way to configure the miner is the JSON config file as it is more flexible and human-friendly. ... -
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Fan Control
Highly customizable fan controlling software for Windows
Fan Control is a Windows utility designed to give users fine-grained, customizable control over system fans (CPU, GPU, case, etc.) based on temperature and sensor inputs. Rather than relying solely on BIOS fan curves, it allows dynamic adjustment of fan behaviour at the operating-system level — letting you react to real-time load, mix multiple sensors (CPU, GPU, motherboard, drives, etc.), and define custom fan-speed curves for different situations. -
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MangoHud
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU
A Vulkan and OpenGL overlay for monitoring FPS, temperatures, CPU/GPU load and more. mangoplot is a plotting script that is shipped with MangoHud: on a given folder, it takes each log file, makes a 1D heatmap of its framerates, then stacks the heat maps vertically to form a 2D graph for easy visual comparison between benchmarks. -
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SwiftShader
SwiftShader is a high-performance CPU-based implementation
SwiftShader is Google’s high-performance CPU-based implementation of the Vulkan 1.3 graphics API, designed to provide a hardware-independent rendering solution for 3D graphics. Unlike traditional GPU drivers, SwiftShader executes graphics commands entirely on the CPU, making it ideal for environments where dedicated graphics hardware is unavailable or unsuitable. It acts as a drop-in replacement for Vulkan drivers, allowing existing applications to run seamlessly by redirecting API calls through its software-based rendering engine. ... -
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GameMode
Optimise Linux system performance on demand
GameMode is a daemon/lib combo for Linux that allows games to request a set of optimizations be temporarily applied to the host OS and/or a game process. GameMode was designed primarily as a stop-gap solution to problems with the Intel and AMD CPU power save or on-demand governors but is now host to a range of optimization features and configurations. -
15
Zenith
Sort of like top or htop but with zoom-able charts, CPU, GPU
In terminal graphical metrics for your *nix system written in Rust. The make file provides for building fully static versions on Linux against the musl C library. It requires musl-gcc to be installed on the system. Install "musl-tools" package on debian/ubuntu derivatives, "musl-gcc" on fedora and equivalent on other distributions from their standard repos. If one needs to build with NVIDIA support in a virtual environment, then it requires some more setup since typically the VM software is... -
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CPU-Z
Utility for detailed CPU and system hardware information.
CPU-Z for Windows® x86/x64 is a freeware that gathers information on some of the main devices of your system : Processor name and number, codename, process, package, cache levels. Mainboard and chipset. Memory type, size, timings, and module specifications (SPD). Real time measurement of each core's internal frequency, memory frequency. CPU-Z is fully supported on Windows® 11. -
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LMCache
Supercharge Your LLM with the Fastest KV Cache Layer
LMCache is an extension layer for LLM serving engines that accelerates inference, especially with long contexts, by storing and reusing key-value (KV) attention caches across requests. Instead of rebuilding KV states for repeated or shared text segments, LMCache persists and retrieves them from multiple tiers—GPU memory, CPU DRAM, and local disk—then injects them into subsequent requests to reduce TTFT and increase throughput. Its design supports reuse beyond strict prefix matching and enables sharing across serving instances, improving efficiency under real multi-tenant traffic. The broader project includes examples, tests, a server component, and public posts describing cross-engine sharing and inter-GPU KV transfers. ... -
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Bootleg System Monitor
A lightning-fast app that shows basic system info.
A lightning-fast app that shows basic CPU and GPU details, RAM and system drive usage, and network adapter names and IPs. GitHub repository: https://github.com/Northstrix/bootleg-system-monitor -
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Lenovo Legion Linux Support
Driver and tools for controlling Lenovo Legion laptops in Linux
Lenovo Legion Linux (LLL) brings additional drivers and tools for Lenovo Legion series laptops to Linux. It is the alternative to Lenovo Vantage or Legion Zone (both Windows only). It allows you to control features like the fan curve, power mode, power limits, rapid charging, and more. This has been achieved through reverse engineering and disassembling the ACPI firmware, as well as the firmware and memory of the embedded controller (EC). -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
...HeavyDB was originally developed as part of the OmniSci platform (formerly MapD) and is commonly used for large-scale analytics and geospatial data processing. The database compiles queries into optimized machine code that executes efficiently on GPU hardware, significantly accelerating analytical workloads. It supports hybrid deployment environments where queries can run on both CPU and GPU architectures depending on the available resources. -
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FlexLLMGen
Running large language models on a single GPU
...The architecture distributes computation and memory usage across the GPU, CPU, and disk in order to maximize the number of tokens processed during inference. This design allows organizations to deploy powerful language models for high-volume tasks without the infrastructure costs typically associated with large-scale AI systems. The project is particularly useful for workloads that prioritize throughput over latency, including benchmarking experiments and large corpus analysis. -
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NVIDIA Linux Open GPU Kernel Module
NVIDIA Linux open GPU kernel module source
This is the source release of the NVIDIA Linux open GPU kernel modules, version 530.41.03. Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 530.41.03 driver release. Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line. Any reasonably modern version of GCC or Clang can be used to build the kernel modules. Note that the kernel... -
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Intel PCM
Intel® Performance Counter Monitor (Intel® PCM)
Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems. -
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PortableGL
An implementation of OpenGL 3.x-ish in clean C
PortableGL is a single-header, software-only implementation of a subset of OpenGL (specifically the GL 2.1 pipeline), designed to run entirely on the CPU. This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
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PowerInfer
High-speed Large Language Model Serving for Local Deployment
PowerInfer is a high-performance inference engine designed to run large language models efficiently on personal computers equipped with consumer-grade GPUs. The project focuses on improving the performance of local AI inference by optimizing how neural network computations are distributed between CPU and GPU resources. Its architecture exploits the observation that only a subset of neurons in large models are frequently activated, allowing the system to preload frequently used neurons into GPU memory while processing less common activations on the CPU. This hybrid execution strategy significantly reduces memory bottlenecks and improves overall inference speed. ...
