Paperspace
Parsec
Geforce Now
LiquidSky
PlayKey
Vortex Cloud Gaming
DigitalOcean
Stadia
Thunder Compute
Cloud GPU
pumpkinai
Vast.ai
airgpu
Amazon Luna
Blacknut
OVH Cloud
Thunder Compute is a cloud GPU platform that provides on-demand GPU instances (virtual machines) for AI/ML workloads. It offers one-click launch of dedicated GPU servers (1โ4 GPUs per instance) in seconds, accessible directly through VS Code, with persistent storage and other developer-friendly features ycombinator.com. The service is positioned as an 80% lower-cost alternative to major cloud providers like AWS while delivering a seamless user experience for machine learning developers.
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Thunder Compute's answer:
Thunder Compute offers a developer-first GPU cloud thatโs fast, affordable, and simple to use. Unlike traditional providers, it enables users to spin up A100 or H100 GPU instances in seconds directly from VS Code or the command line โ no contracts, no setup, and no complex infrastructure management. It also achieves up to 80% cost savings compared to AWS or GCP by virtualizing GPUs efficiently.
Thunder Compute's answer:
Thunder Compute provides a smooth developer experience, transparent pricing, and immediate GPU access. Competitors often have long setup times, hidden fees, and limited availability. Thunderโs integrated tooling (VS Code extension, CLI, snapshots) removes friction so users can focus on training and deploying AI models instead of managing infrastructure.
Thunder Compute's answer:
Thunder Compute primarily serves AI researchers, machine learning engineers, data scientists, and startups building or fine-tuning large models. Secondary audiences include students and independent developers who need on-demand GPU compute without committing to costly long-term contracts.
Thunder Compute's answer:
Thunder Compute was founded in 2024 by Carl Peterson and Brian Model, who met at Georgia Tech. They noticed how hard it was to access GPUs for research โ often managed through manual reservations in Google Sheets. To fix this, they built Thunder Compute: a platform that simplifies GPU access with one-click deployment, making high-performance computing accessible to everyone.
Thunder Compute's answer:
Thunder Compute uses a combination of:
Go (Golang) and Python for backend orchestration and API services.
Docker and Kubernetes for container orchestration and scaling GPU instances.
gRPC, TCP, and CUDA for low-latency GPU virtualization.
TypeScript and React for the dashboard and extension interface.
Thunder Compute's answer:
While specific names are not public, the company primarily serves:
AI research startups and independent labs.
Machine learning engineering teams building generative AI tools.
University researchers and student developers via the Thunder Compute Student Program.
Based on our record, Paperspace seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Before I built my rig. I used paperspace.com and parsec. you'll probably have to request that they unlock a better gpu server for you though. If you need any help just shoot me a message. Its like 50 cents an hour. Source: over 3 years ago
There are several tier-two clouds that offer GPUs but I think they generally fall prey to the many of the same issues you'll find with AWS. There is a new generation of accelerator native clouds e.g. Paperspace (https://paperspace.com) that cater specifically to HPC, AI, etc. workloads. The main differentiators are:. - Source: Hacker News / almost 4 years ago
Guess you've never heard of paperspace.com :) Their systems (depending on the configuration ofc) work great with ESO and they run windows and it's parsec compatible. Source: almost 4 years ago
Something else to look into for a Windows machine would be Paperspace. It can be a little flaky at times, but you get a Windows machine in the cloud which works from a web browser. Even a pretty good one only costs $7 a month for storage 50ยข an hour to run. If you need a Windows machine in a hurry this is definitely your cheapest option. Source: about 4 years ago
Have you ever tried Paperspace (https://paperspace.com)? I've spent many hours gaming using their Windows offerings, although always strategy games so the latency hasn't been noticeable. I'm not sure how well it would work for FPS (probably reasonably, to be honest). They have a large number of general computing/graphics-specific machines you can spin up, and you can either pay per hour or per month. I've also... - Source: Hacker News / over 4 years ago
Parsec - Streams games locally or over the internet
Cloud GPU - Cloud GPU is a solution that provides high-performance GPUs on Google Cloud for machine learning and 3D visualization.
Geforce Now - Underpowered PC can now pack the punch of high-performance GeForce GTX GPUs with GeForce NOW.
pumpkinai - PumpkinAI.space is a nonprofit site that's committed to offering free GPU cloud desktops, APIs for big models like Gemini-3-Pro, and unlimited cloud storageโfor good, no strings attached. First off, the free GPU cloud desktop setup: you've got access
LiquidSky - LiquidSky gives you a high performance gaming PC in the cloud.
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
