
Vast.ai
Paperspace
TensorDock GPU Cloud
Coreframe Cloud
Hyperstack
JarvisLabs.ai
vagon
GPU cloud marketplace for AI teams. Rent NVIDIA B300, B200, H200, H100 and A100 GPUs on demand from vetted data center partners, billed per minute, with no contracts or lock-in.

coderpad
Koding
Codeanywhere
Codassium
AWS Cloud9
collabedit
Floobits
Realtime Collaborative Editor with Code Execution, REPLs and Chat

Which is more popular?
codebunk might be a bit more popular than Spheron AI. We know about 1 link to it since March 2021 and only 1 link to Spheron AI.
Website, pricing, platforms and company facts side by side.
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| Website | spheron.ai | codebunk.com |
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| Company | Startup from Singapore · 2022 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Spheron AI is a GPU cloud marketplace. We aggregate bare-metal and VM GPU capacity from certified Tier 3 and Tier 4 data center partners worldwide, so AI teams can rent enterprise NVIDIA GPUs from one dashboard instead of juggling accounts across providers. What you can rent 50+ GPU models,...
No description of codebunk yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of codebunk yet.
Walkthroughs and reviews on video.
No Spheron AI videos yet. You could help us improve this page by suggesting one.
Introduction to CodeBunk (http://codebunk.com)
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Spheron AI and codebunk.
Spheron AI's answer
Spheron AI is one account for GPU capacity from many providers. Instead of signing up with several clouds, you get live pricing from certified Tier 3 and Tier 4 data center partners in one dashboard and deploy the best deal in under 60 seconds.
Spheron AI's answer
Hyperscalers charge a premium for the same NVIDIA hardware. Spheron AI sources GPUs directly from certified data centers, so live rates typically come in 40 to 60% below hyperscaler pricing.
Spheron AI's answer
AI compute shouldn't cost 3x more just because AWS has a bigger logo. We built Spheron AI to fix that.
Good GPUs already sit in data centers around the world, but reaching them means juggling accounts, contracts and waitlists. So we pull enterprise-grade capacity from certified data center partners into one platform with transparent pricing. No waitlists, no lock-in, no hidden margins.
We handle the infrastructure. Teams focus on building.
Spheron AI's answer
AI teams that need GPUs now and don't want to overpay for them:
Spheron AI's answer
Spheron AI's answer
Share your experience with using Spheron AI and codebunk. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


As you embark on your journey within the Aptos ecosystem, remember that the possibilities are vast. Embrace the challenge, tap into the community, and start building the future of decentralized applications today! For more information,... - Source: dev.to / about 2 years ago
Have you tried https://codebunk.com/ ? Works well for us for that purpose. Source: almost 5 years ago
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GPU cloud computing made easy. Effortless infrastructure for Machine Learning and Data Science
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Easy-to-use, secure, and affordable GPU cloud ⌛ Start training ML models in 2 minutes with ready-made templates 👩💻 REST API and CLI 🔒 Servers at secure data centers ✏️ Edit servers to right-size workloads 💸 Save up to 70% ✅ CPU-only servers availab…
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Codeanywhere is a complete toolset for web development. Enabling you to edit, collaborate and run your projects from any device.
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