Alternatives
Products that do what TorchTPU does
Running PyTorch Natively on TPUs at Google Scale
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I integrated a remote GPU execution backend into PyTorch through the same system that custom hardware accelerators get integrated into PyTorch. You can create a remote machine and obtain its CUDA device whenever you want to create or move tensors onto the remote GPU. machine = mycelya_torch.RemoteMachine("modal", "A100") cuda_device = machine.device("cuda") x = torch.randn(1000, 1000, device=cuda_device) y = torch.randn(1000, 1000).to(cuda_device) I made it reasonably performant by having most operations dispatch asynchronously whenever possible. For cases where slow performance is…
Oct 2025 · github.com
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I'm starting to implement a barebones version of pytorch in Go. The primary motivation is: 1. I want to better learn Pytorch and how it works so what better way than to just re-implement some of its core features. 2. I write mainly in Go and haven't come across a lot of ML support in Go 3. I'd rather have a Go ML service instead of spinning up additional infrastructure to just support a python ML service in my Go projects 4. Go's static typing, native concurrency (avoid GIL problem in python), efficient memory management, single binary deployment and more make it a better interface compared…
2024
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Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train large-scale graph models in a distributed environment. With graphlearn-for-pytorch, you can leverage GPUs to accelerate graph sampling and utilize UVA to reduce the overheads of feature collection. Following a scalable design, graphlearn-for-pytorch supports training GNN models on…
2023 · github.com
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2018 · github.com
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2020 · pyrustic.github.io
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Hoppscotch is an open-source API development ecosystem - an online alternative to Postman API tool. Today we're launching Teams Collaboration support in Hoppscotch. • Unlimited teams • Unlimited shared collections • Unlimited team members • Role-based access control • Cloud sync • Multiple devices GitHub: https://github.com/hoppscotch/hoppscotch Web app: https://hoppscotch.io Read more on our blog: https://company.hoppscotch.io/create-teams-for-collaboration-in-hoppscotch
2021
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Hello, AppZung CodePush is a drop-in replacement for AppCenter CodePush, born from our development consulting work with enterprise clients. Key features: * One-command migration from AppCenter (projects and deployment keys) * Full feature parity with original CodePush React Native module * EU hosting with fast global CDN * More affordable than Expo Updates while maintaining CodePush advantages * Production-tested with enterprise clients for some time now * Supports React Native 0.59+ (new features available from 0.71) and the New Architecture * Supports any other framework compatible with…
2025 · appzung.com
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I'm continuing to improve my RunsOn tool for launching self-hosted runners for GitHub Action on AWS, this time with support for any GPU-enabled instance type from EC2, and using the official Deep Learning AMIs as the runner image. Much cheaper than the official GitHub Actions runners, and accessible on any GitHub plan.
2024 · runs-on.com
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Hi HN, I’ve been working on Zephyr3D, an open-source 3D rendering engine for the modern web, plus a visual editor that runs entirely in the browser. - Written in TypeScript - Supports WebGL/WebGL2/WebGPU - Comes with a visual editor that runs in the browser (no installation required) With the recent updates, a few things might be interesting to people here: Engine & rendering ------------------ - WebGL/WebGPU abstraction with a TypeScript API - PBR rendering - Cluster lighting & Shadow Maps - Clipmap-based terrain for large landscapes - Sky Atmosphere & Height-based fog - FFT…
Nov 2025 · zephyr3d.org
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Sparky is a flexible and minimalist continuous integration server and distribute tasks runner written in Raku. https://github.com/melezhik/sparky
2023
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We'd like to introduce HN to Spell, which is a tool for easily running ML/DL jobs remotely. As Deep Learning has grown we see engineers and researchers struggle to incorporate running on GPUs into their workflow. So we built Spell to be the easiest way to get code running elsewhere - like the bash '&' operator but for remote machines. Sign up for an account at https://web.spell.run/waitlist, which includes $300 in credits for GPU time. There's a waitlist, but we'll be approving accounts as they come in. Here are some of the features we really wanted and built into Spell:…
2018
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It's annoying having so many ML and GS training tools rely exclusively on cuda/nvidia . So for our open-source command-line gaussian splat converter/compressor, we decided to try WebGPU instead. It's working well so far and a single codebase runs on Linux, MacOS and Windows without too much fuss. This is mostly thanks to Google's dawn project <3. Eventually some of this could also run directly in the browser.
Sep 2025 · github.com
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