Alternatives
Products that do what SkyRig does
Pay-as-you-go cloud gaming with real GeForce RTX cards
- 1
- 2OS
2024 · github.com
- 3L3
Hi everyone, I'm kinda involved in some retrogaming and with some experiments I ran into the following question: "It would be possible to run transformer models bypassing the cpu/ram, connecting the gpu to the nvme?" This is the result of that question itself and some weekend vibecoding (it has the linked library repository in the readme as well), it seems to work, even on consumer gpus, it should work better on professional ones tho
Feb 2026 · github.com
- 4AG
Thought the resources for GPU arch were lacking, so here we are
Apr 2026 · jaso1024.com
- 5
- 6
- 7SF
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
- 8AM
Hello HN! We’re a small creative studio specializing in real-time 3D experiences. Netlify approached us to design and build an interactive experience to celebrate reaching 5 million developers. Inspired by the classic game Marble Madness, we created a gamified experience where users control a ball through playful, interactive levels. The goal was to blend marketing content with the look and feel of a game to engage users. The app is built with Three.js [1], using our custom render pipeline and shaders, and uses Rapier for physics simulation [2]. The 2D content is overlaid on the WebGL view…
2024 · 5-million-devs.netlify.com
- 9AT
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
- 10
- 11
- 12
- 13IB
I wanted to play my Steam games but my aging PC couldn’t keep up, so I built Cloudy Pad - a tool to run Steam in the Cloud (GitHub: https://github.com/PierreBeucher/cloudypad) It runs on AWS, Azure, GCP, Scaleway and Paperspace with various cost optimizations and safeties: - Cost alerts - Auto stop inactive instances to avoid unwanted cost - Disk snapshots and data cleanup for cost efficiency - Spot instance support Under the hood: a Linux VM and a container running Sunshine (a streaming server https://github.com/LizardByte/Sunshine) with Steam. Most…
2025 · github.com
- 14
- 15GC
Hi HN, YC w24 company here. We just pivoted from drone delivery to build gpudeploy.com, a website that routes on-demand traffic for GPU instances to idle compute resources. The experience is similar to lambda labs, which we’ve really enjoyed for training our robotics models, but their GPUs are never available for on-demand. We are also trying to make it more no-nonsense (no hidden fees, no H100 behind “contact sales”, etc.). The tech to make this work is actually kind of nifty, we may do an in-depth HN post on that soon. Right now, we have H100s, a few RTX 4090s and a GTX 1080 Ti online.…
2024 · gpudeploy.com
- 16
- 17
- 18
- 19TC
Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…
2022 · tensordock.com
- 20
- 21
- 22
- 233I
CPU & GPU with Zero Hassle Built with NVIDIA Warp, the same code runs seamlessly on both CPU and GPU — no need to deal with CUDA setup, driver issues, or device-specific kernels. Just flip one config line. Learn Modern Graphics the Easy Way Explore core concepts in differentiable rendering and parallel graphics programming — no need for expensive GPUs or thousands of lines of boilerplate. Minimalist & Educational This isn’t another massive codebase. It’s a clean, hackable implementation built for clarity — perfect for study, prototyping, or teaching yourself how Gaussian Splatting works.
2025 · github.com
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →