Dev tools · alternatives · 2026
24 alternatives to Flyte devbox now runs GPU workloads on Apple Silicon
Apple Silicon accelerator for the Flyte 2 devbox: tasks and apps that request gpu=\"AppleSilicon\" run natively on the Mac, so their code can use Metal (torch mps, MLX).
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are…
Jul 2026 · github.com · its alternatives →
- 2AA
Initial source-only release of Alacritty
2017 · blog.jwilm.io · its alternatives →
- 3
Ollama v0.19▲410Massive local model speedup on Apple Silicon with MLX
Apr 2026 · ollama.com · its alternatives →
- 4
I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com · its alternatives →
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Beam.winfree tier, from $7/mo▲370Run AI agents on one Mac and use its windows on another
2d ago · beam.win · its alternatives →
- 7
Spin up a Mac Mini M1 in the cloud.
2021 · scaleway.com · its alternatives →
- 8TA
1. Single universal binary, that can be natively executed on every hardware platform Mac OS X was made for (32/64 bit, PowerPC/x86/AppleSilicon). 2. Minimalistic gadget-style design. If launched as a tool, there is no menubar, no dock icon, no nothing, just the clock window. 3. Support for hidpi and dark mode for environments, that have them. 4. Window title bar for moving the window with a mouse, and a handle to resize it (latter for OS versions, that have it). 5. Can be easily ported to GNUStep and thus other OSes (sources under GPLv3). 6. Simple Makefile build system.
2022 · tycho.sytes.net · its alternatives →
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BaseRT▲2226.4x faster than llama.cpp, 3.9x faster than MLX
Jul 2026 · basecompute.co · its alternatives →
- 10
We ported pbrt-v4 to Julia and built it into a Makie backend. Any Makie plot can now be rendered with physically-based path tracing. Julia compiles user-defined physics directly into GPU kernels, so anyone can extend the ray tracer with new materials and media - a black hole with gravitational lensing is ~200 lines of Julia. Runs on AMD, NVIDIA, and CPU via KernelAbstractions.jl, with Metal coming soon. Demo scenes: github.com/SimonDanisch/RayDemo
Feb 2026 · makie.org · its alternatives →
- 11
Hey guys, so I've been working on native desktop macos client for jellyfin server. Feel free to join and try it out https://testflight.apple.com/join/LVj8KwAq
2023 · testflight.apple.com · its alternatives →
- 12
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
2025 · github.com · its alternatives →
- 13
Run Omarchy on MacOS without any setup. Contribute to omacom/try-omarchy development by creating an account on GitHub.
Sep 2026 · github.com · its alternatives →
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Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP. What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on…
May 2026 · github.com · its alternatives →
- 15
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
- 16
AiSilicon▲36Git-integrated GPU workloads, push to deploy & pull results
2024 · aisilicon.com · its alternatives →
- 17
Tabs, splits, and tmux work fine until you have several projects open with logs, tests, and long-running shells. I kept rebuilding context instead of resuming work. Horizon puts shells on an infinite canvas. You can arrange them into workspaces and reopen later with layout, scrollback, and history intact. Built in 3 days with Claude/Codex, dogfooding the workflow as I went. Feedback and contributions welcome.
Mar 2026 · github.com · its alternatives →
- 18CP
2017 · octalyzer.com · its alternatives →
- 19PO
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
- 20
Written natively from scratch in Metal and Swift. Build for AirVis app.
Dec 2025 · twitter.com · its alternatives →
- 21
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters.
2024 · dstack.ai · its alternatives →
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Run processes on the "Icestorm" efficiency cores of the M1 Mac chip - runbg.swift
2021 · gist.github.com · its alternatives →
- 23
Last Thursday, Deepmind released Magenta Realtime 2 , an open source music generation model. They said it could run on Mac, but not iPhone. As a v̵i̵b̵e̵ ̵c̵o̵d̵i̵n̵g̵ ̵a̵d̵d̵i̵c̵t̵ agentic AI maxxi and person who has melted iPhones before (link at bottom), I took that as a personal challenge and made it my weekend project. On Saturday, I got it to run for 10min straight on an iPhone 12 Pro from 2020 without melting the phone or - shockingly - touching the GPU. How? I chopped the model up into 5 pieces and set them each to run on different parts of Apple's system on a chip (SoC). My past…
Jun 2026 · github.com · its alternatives →
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Also compare
- Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac alternatives
- Alacritty, a GPU-accelerated terminal emulator written in Rust alternatives
- Ollama v0.19 alternatives
- Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon alternatives
- MetalBox alternatives
- Beam.win alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →