Search Results for "metal"
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Showing 248 open source projects for "metal"
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tt-metal
TT-NN operator library, and TT-Metalium low level kernel programming
tt-metal, also referred to in its documentation as TT-Metalium, is Tenstorrent’s low-level software development kit for programming applications on Tenstorrent AI accelerators. The project is designed for developers who need direct access to the company’s Tensix processor architecture, exposing a programming model that is closer to hardware control than high-level inference frameworks. -
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Metal.jl
Metal programming in Julia
...If you are interested in contributing to this, see this issue for more details. In practice, Metal.jl will probably work on any macOS 10.15+, and other GPUs that are supported by Metal might also function (if only partially), but such combinations are unsupported for now. -
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raycaster
A bare metal raycaster, boots from a floppy image
A bare metal raycaster, boots from a floppy image. -
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Savon
Heavy metal SOAP client
Heavy metal SOAP client. Savon version 2 is available through Rubygems. -
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OpenELB
Load Balancer Implementation for Kubernetes in Bare-Metal, Edge, etc.
OpenELB is an open-source load balancer implementation designed for exposing the LoadBalancer type of Kubernetes services in bare metal, edge, and virtualization environments. In cloud-based Kubernetes clusters, Services are usually exposed by using load balancers provided by cloud vendors. However, cloud-based load balancers are unavailable in bare-metal or on-premise environments. OpenELB allows users to create LoadBalancer Services in bare-metal, edge, and virtualization environments for external access, and provides the same user experience as cloud-based load balancers. -
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Beta9
Run serverless GPU workloads with fast cold starts on bare-metal
beta9 is a platform that enables running serverless GPU workloads with fast cold starts on bare-metal servers globally. It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively. -
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MetalLB
A network load-balancer implementation for Kubernetes
MetalLB is a load-balancer implementation for bare metal Kubernetes clusters, using standard routing protocols. Kubernetes does not offer an implementation of network load balancers (Services of type LoadBalancer) for bare-metal clusters. The implementations of network load balancers that Kubernetes does ship with are all glue code that calls out to various IaaS platforms (GCP, AWS, Azure…). -
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Autodesk Fusion 360
Use Autodesk Fusion 360 on Linux
Autodesk Fusion 360 is a cloud-based 3D modeling, CAD, CAM, CAE, and PCB software platform for product design and manufacturing that offers an affordable, powerful alternative to other well-known solutions on the market.But the problem is that it usually only works on systems that have Windows or macOS installed as the operating system. I'm using a Linux distribution such as openSUSE Tumbleweed and needed a solution to this problem. And so, with this nice tool, we no longer need two... -
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Kubespray
Deploy a Production Ready Kubernetes Cluster
Can be deployed on AWS, GCE, Azure, OpenStack, vSphere, Equinix Metal (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal. Highly available cluster. Composable (Choice of the network plugin for instance). Supports most popular Linux distributions. Continuous integration tests. The list of available docker versions is 18.09, 19.03, and 20.10. The recommended docker version is 20.10. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Taichi
Productive, portable, and performant GPU programming in Python
...It uses JIT compilation (via LLVM and its runtime TiRT) to offload compute-heavy code to CPUs, GPUs, mobile devices, and embedded systems. With built-in support for sparse data structures (SNode), automatic differentiation, AOT deployment, and compatibility with CUDA, Vulkan, Metal, and OpenGL ES, it empowers disciplines like simulation, graphics, AI, and robotics -
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stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference
...It enables text-to-image and image-to-image generation, supports a growing set of models like SD1.x, SD2.x, SDXL, SD-Turbo, Qwen Image, and more, and is continually updated with support for cutting-edge model variants including video and image editing models. The project is built on the ggml backend, which allows efficient execution on CPUs and GPUs via backends like CUDA, Vulkan, Metal, OpenCL, and SYCL, making it suitable for everything from desktops to mobile devices. It includes options for ControlNet, LoRA models, upscaling via ESRGAN, and advanced sampling techniques, giving developers and users a rich toolkit for creative workflows. -
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MicroPython
Python implementation for microcontrollers and constrained systems
MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. ... -
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Diligent Core
A modern cross-platform low-level graphics API
DiligentCore is a low-level, cross-platform rendering library designed to provide a modern graphics abstraction layer over Direct3D11, Direct3D12, OpenGL, Vulkan, and Metal. It’s aimed at developers building high-performance rendering engines and scientific visualization tools. DiligentCore gives precise control over GPU resources and rendering pipelines, while also abstracting away platform-specific boilerplate. The library is modular, extensible, and well-suited for projects that require direct access to modern graphics APIs while maintaining portability and scalability. -
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wgpu
Safe and portable GPU abstraction in Rust, implementing WebGPU API
wgpu is a safe and portable graphics library for Rust based on the WebGPU API. It is suitable for general purpose graphics and compute on the GPU. Applications using wgpu run natively on Vulkan, Metal, DirectX 11/12, and OpenGL ES; and browsers via WebAssembly on WebGPU and WebGL2. Angle is a translation layer from GLES to other backends, developed by Google. We support running our GLES3 backend over it in order to reach platforms with GLES2 or DX11 support, which aren't accessible otherwise. In order to run with Angle, "angle" feature has to be enabled, and Angle libraries placed in a location visible to the application. ... -
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minikube
Sets up a local Kubernetes cluster to run it
...It supports the latest Kubernetes release (+6 previous minor versions). It iscross-platform (Linux, macOS, Windows), and allows the deployment of its functions as a VM, a container, or on bare-metal. Provides multiple container runtimes (CRI-O, containerd, docker), Docker API endpoint for blazing fast image pushes, and advanced features such as LoadBalancer, filesystem mounts, and FeatureGates. Contains addons for easily installed Kubernetes applications. -
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Harvester
Open source hyperconverged infrastructure (HCI) software
Harvester is a modern, open, interoperable, hyperconverged infrastructure (HCI) solution built on Kubernetes. It is an open-source alternative designed for operators seeking a cloud-native HCI solution. Harvester runs on bare metal servers and provides integrated virtualization and distributed storage capabilities. In addition to traditional virtual machines (VMs), Harvester supports containerized environments automatically through integration with Rancher. It offers a solution that unifies legacy virtualized infrastructure while enabling the adoption of containers from core to edge locations. ... -
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Hermit Kernel
A Rust-based, lightweight unikernel
Hermit Kernel is the core component of HermitCore, a Rust-based unikernel that runs directly on hypervisors or bare-metal systems to support high-performance cloud and HPC applications. This repository contains the microkernel’s implementation, optimized for running Rust applications natively in a lightweight, single-address-space environment. Hermit Kernel is designed to reduce latency and overhead by avoiding traditional OS abstractions, while still providing essential services such as scheduling, memory management, and networking. ... -
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Cluster Template
A template for deploying a Kubernetes cluster with k3s or Talos
Welcome to my opinionated and extensible template for deploying a single Kubernetes cluster. The goal of this project is to make it easier for people interested in using Kubernetes to deploy a cluster at home on bare-metal or VMs. At a high level, this project makes use of makejinja to read in a configuration file which will render out pre-made templates that you can then use to customize your Kubernetes experience further. The features included will depend on the type of configuration you want to use. There are currently 2 different types of configurations available with this template. -
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Gardener
Kubernetes-native system managing the full lifecycle of Kubernetes
...Gardener was born as a solution for actual and common problems such as control on the Kubernetes stack, minimizing the TCO, infrastructures pervasiveness, operating in restricted/regulated environments or bare metal, at a massive scale. -
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gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models
...Both models use a native MXFP4 quantization for efficient memory use and support OpenAI’s Harmony response format, enabling transparent full chain-of-thought reasoning and advanced tool integrations such as function calling, browsing, and Python code execution. The repository provides multiple reference implementations—including PyTorch, Triton, and Metal—for educational and experimental use, as well as example clients and tools like a terminal chat app and a Responses API server. -
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OpenVINO Model Server
A scalable inference server for models optimized with OpenVINO
...The server exposes model inference via standard network protocols like REST and gRPC, allowing any client that speaks those protocols to request predictions remotely, abstracting away the complexity of where and how the model runs. It supports model deployment in diverse environments including Docker, bare-metal machines, and Kubernetes clusters, and is especially useful in microservices architectures where AI services need to scale independently. The system supports a wide range of model sources, letting you host models from local storage, remote object storage, or even pull from model hubs. -
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qvac-fabric-llm.cpp
QVAC Fabric: cross-platform LLM inference and fine-tuning
...The project focuses on removing hardware limitations traditionally associated with LLM deployment by enabling support for a wide range of backends, including Vulkan, Metal, CUDA, and CPU, making it accessible on devices ranging from smartphones to enterprise servers. It introduces native LoRA fine-tuning capabilities that can be executed directly on consumer hardware, allowing developers to train and adapt models locally without relying on cloud infrastructure. A key innovation is its support for BitNet ternary quantized models, enabling highly efficient inference and training even on resource-constrained systems. -
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Dockside
Develop, stage and test on-prem or in your private cloud
...Dockside is a tool for provisioning lightweight access-controlled IDEs, staging environments, and sandboxes - aka 'devtainers' - on local machines, on-premises raw metal or VM, or in the cloud. Dockside is a tool for provisioning lightweight access-controlled IDEs, staging environments and sandboxes - aka devtainers - on the local machines, self-hosted on-premises on bare metal or VM, or in the cloud. By provisioning a devtainer for every fork and branch, Dockside allows collaborative software and product development teams to take lean and iterative development and testing to a highly parallelized extreme. ... -
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Retrobios
Complete BIOS and firmware packs for RetroArch, Batocera, Recalbox
...It emphasizes simplicity and transparency, allowing developers to study and modify core boot processes at a granular level. The architecture is typically close to bare metal, requiring knowledge of assembly language and hardware interfaces. It may also serve as a foundation for building custom operating systems or experimenting with low-level system design. Overall, retrobios functions as a learning and experimentation platform for understanding foundational computing concepts. -
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Zen Kernel
Zen Patched Kernel Sources
Zen Patched Kernel Sources. This is the top level of the kernel’s documentation tree. Kernel documentation, like the kernel itself, is very much a work in progress; that is especially true as we work to integrate our many scattered documents into a coherent whole. ARC processors are highly configurable and several configurable options are supported in Linux. Some options are transparent to software (i.e cache geometries, some can be detected at runtime and configured and used accordingly,...
