Cloud GPU
Bitcanopy
LEAP Legal Software
BTHAWK
CloudocKit
IBM Cloud Object Storage
Paperspace
Kamatera
Thunder Compute
Paperspace
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.
Cloud GPU Thunder ComputeThunder 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, Cloud GPU 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.
Per https://cloud.google.com/gpu, they use NVIDIA L4, P100, P4, T4, V100, and A100 GPUs. These are physical units loaded into servers and then shared to the OS by the hypervisor. Source: about 3 years ago
You probably can't do it through onedrive, though I'm not sure if MS has something like that that carries over into other services. The thing you need is GPU power, not storage. Most people use something like google cloud https://cloud.google.com/gpu but there are a lot of other options. Source: over 3 years ago
Uh, you ask these questions before you buy the hardware. There are various tools you could have used for free, or for cheap instead of spending $2500 on equipment, and not even seemingly the right equipment. You would know more than me, but you mentioned AI/Machine learning, but I do not see any graphics cards mentioned in your build, and a lot of that work is enhanced with graphic cards. (3 of these or just this... Source: over 3 years ago
Why are you not running in google colab? Https://cloud.google.com/gpu. Source: over 3 years ago
Unless you are spinning up GPUs in the cloud with stolen credentials/credit cards. https://cloud.google.com/gpu. Source: almost 4 years ago
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