
Vast.ai
Paperspace
GPU Per Hour
TensorDock GPU Cloud
GPU.LAND
QuickPod
Bitcanopy
Cloud GPU is a solution that provides high-performance GPUs on Google Cloud for machine learning and 3D visualization.

OpenRouter
liteLLM
APIPark
Eden AI
Portkey
Fireworks AI
Helicone AI
A unified, OpenAI-compatible gateway to every major LLM provider. One endpoint, one key, one bill - with automatic routing and failover.

Which is more popular?
Based on our record, Cloud GPU seems to be more popular. It has been mentioned 7 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cloud.google.com | boldrouter.com |
| Pricing | — | |
| Company | — | Startup from Switzerland · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Cloud GPU yet.
Point your existing OpenAI client at one endpoint and reach OpenAI, Anthropic, and more. Switch models by changing a single string - with automatic routing, failover, and one prepaid bill. Today the gateway routes 85 models across 23 providers behind a single endpoint. Full privacy - developed...
What each product offers, as listed by its team.


Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Cloud GPU and boldrouter.
boldrouter's answer:
boldrouter is a Swiss-hosted unified LLM gateway that gives developers and businesses access to leading AI models through a single API key and an OpenAI-compatible interface. Its distinctive combination of multi-provider access, smart routing, automatic failover, centralized billing, token-accurate metering, scoped API keys, usage analytics, and enterprise controls allows teams to use multiple AI providers without rebuilding their applications for each one.
boldrouter's answer:
boldrouter is designed for teams that want simplicity without being locked into a single AI provider. Developers can keep using familiar OpenAI-compatible SDKs while accessing models from OpenAI, Anthropic, Google, xAI, DeepSeek, Perplexity, Mistral, Z.ai, and others. Centralized routing, failover, usage tracking, billing, and API-key management reduce the infrastructure that teams otherwise need to build and maintain themselves. Its Swiss-hosted infrastructure is also particularly attractive to European and privacy-conscious organizations.
boldrouter's answer:
No major external customers have been publicly disclosed yet. boldrouter launched its public beta on July 21, 2026, so publicly announced customer references are still limited.
boldrouter's answer:
boldrouter is primarily built for software developers, AI startups, SaaS companies, engineering teams, platform teams, and enterprises building applications with large language models. It is especially useful for organizations that use, test, or compare multiple AI providers and want one centralized API, billing system, routing layer, and usage dashboard instead of managing separate integrations for every provider.
boldrouter's answer:
The platform incorporates multi-model routing, automatic failover, token metering, scoped API-key management, usage analytics, centralized billing, and Swiss-hosted cloud infrastructure. The underlying programming languages and internal framework stack have not been publicly disclosed.
boldrouter's answer:
boldrouter was created by Swiss technology group Cybrient Technologies SA to simplify the increasingly fragmented LLM ecosystem. As companies began using models from multiple AI providers, managing separate APIs, credentials, billing systems, monitoring, and failover logic became increasingly complex. boldrouter was built as a unified layer between applications and AI providers, allowing developers to integrate once and then choose or switch between models as their requirements evolve. The platform officially launched its public beta on July 21, 2026 in Zürich, Switzerland.
Share your experience with using Cloud GPU and boldrouter. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


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: over 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... 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,... Source: almost 4 years ago
Tracking boldrouter since Aug 2026.
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