
OpenRouter
Vast.ai
CometAPI
Api.Airforce
APIMaster
boldrouter
CloudGPU.app
Low-cost AI API aggregator with 380+ chat, image, video, audio and voice models via OpenAI- and Anthropic-compatible APIs, plus access to 33,000 GPUs from the same balance.

vagon
iRender
JarvisLabs.ai
Cyfuture.ai
CloudGPU.app
DigitalOcean
Fox Renderfarm
RTX 5080 cloud workstations for D5 Render, Lumion, Enscape and Unreal Engine, plus duct and pipe CFD reports. Pay per minute from $5.99/hour, no setup fee.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | gpuniq.com | coreframecloud.com |
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| Company | Startup from Russia · 1 - 9 employees · 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


GPUniq is a low-cost AI API aggregator and GPU infrastructure platform built for developers and AI teams. It provides access to 380+ chat, image, video, audio and voice models through OpenAI- and Anthropic-compatible APIs, with free models and pay-as-you-go pricing. GPUniq also combines GPU...
Coreframe Cloud gives architects, visualisers and engineers a full Windows workstation with an NVIDIA RTX 5080 (16 GB) in the browser. Open it from any laptop, work in D5 Render, Lumion, Enscape or Unreal Engine (preinstalled), and shut it down when you are done. How it works Billed per minute,...
What each product offers, as listed by its team.


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


As answered by people managing GPUniq and Coreframe Cloud.
GPUniq's answer
GPUniq's answer
GPUniq lets teams access hundreds of AI models and GPU compute without managing multiple providers, accounts and balances. It offers low-cost pay-as-you-go usage, a single balance, and business-ready invoices and closing documents for companies.
Coreframe Cloud's answer:
A whole dedicated RTX 5080, billed by the minute, priced in rupees with GST already included and a tax invoice you can claim input credit on — a combination we haven't found anywhere else in India. Most Indian GPU clouds sell headless Linux on datacentre cards to AI teams. Most cloud-workstation services that actually understand 3D work bill in dollars from outside India. Coreframe gives you a real Windows desktop with D5 Render, Blender, Twinmotion and Unreal Engine already installed, project files that persist between sessions, and billing that starts when the stream does and stops when you close it. Bring your own licence for Lumion, Enscape, Revit or 3ds Max — we provide the machine, never the licence
GPUniq's answer
GPUniq is built for developers, AI startups and engineering teams that need reliable access to multiple AI models or GPU compute. It is especially useful for teams running AI workloads in production and those that want to avoid maintaining integrations with multiple providers.
Coreframe Cloud's answer:
Architects, interior designers and architectural visualisation studios in India, along with freelance 3D visualisers and students who need workstation-class hardware without buying it. A second, smaller group is simulation engineers running GPU-accelerated CFD. The common thread is bursty work — heavy rendering for the week before a client presentation and almost none for the three weeks after, which is exactly the pattern that makes owning a ₹5,00,000 machine hard to justify.
GPUniq's answer
GPUniq started as a GPU marketplace that aggregated compute capacity from different providers into one platform. It later expanded into AI APIs, bringing model access and GPU infrastructure together under one account and balance.
Coreframe Cloud's answer:
Coreframe Compute Labs was founded in Bengaluru in 2026 around a specific observation: the workstation an Indian design studio needs to render comfortably costs around ₹5,00,000 landed, gets bought once, and then sits idle most of the week. The cloud alternatives were either headless Linux boxes built for AI training, or foreign services billing in dollars with no Indian tax invoice. Neither suits someone who just wants to open Lumion and hit render. So we built the unglamorous version: a real Windows machine with a real GPU, hosted in Bengaluru, rented by the minute, with a GST invoice at the end of it.
GPUniq's answer
GPUniq uses NVIDIA GPU infrastructure, Docker-based workloads, CUDA and PyTorch environments, and S3-backed storage. Its model API supports OpenAI- and Anthropic-compatible interfaces, with developer access through REST APIs, SDKs and CLI tools.
Coreframe Cloud's answer:
The workstations are Windows 11 on dedicated NVIDIA RTX 5080 GPUs — 16 GB GDDR7, 64 GB ECC RAM, 6-core EPYC — with the desktop streamed over an encrypted private network using Sunshine and Moonlight, which keeps latency low enough for real-time viewport work. D5 Render, Blender, Twinmotion and Unreal Engine ship on the standard image. project files live on NAS storage in the same Bengaluru facility. Payments go through Razorpay, and identity verification through DigiLocker.
GPUniq's answer
GPUniq combines an AI API aggregator with a fault-tolerant GPU cloud. If a GPU goes down, workloads can be automatically moved to another available machine, which helps keep production workloads running without manual intervention.
Coreframe Cloud's answer:
Coreframe Cloud rents full Windows desktops on NVIDIA RTX 5080 GPUs, streamed to any laptop and billed by the minute. Built for architects, interior designers, visualisation studios and CFD engineers who need workstation-class hardware for the hours they actually use it. Hosted in Bengaluru, billed in INR with GST included.
Share your experience with using GPUniq and Coreframe Cloud. For example, how are they different and which one is better?
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