
vagon
iRender
JarvisLabs.ai
Cyfuture.ai
CloudGPU.app
DigitalOcean
Fox Renderfarm
RTX 5080 cloud workstations for D5 Render, Lumion, Enscape and Unreal Engine, plus CFD pressure-drop reports. Per minute from ₹399/hour in India (GST included) or $5.99/hour abroad.

LLM Pricing
GPU Per Hour
CloudGPU.app
TensorDock GPU Cloud
Vast.ai
LLM Price Watch
LLM API Pricing Calculator
Real-time pricing for thousands of AI models across 70+ cloud providers. GPU rental included. Updated daily.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | coreframecloud.com | computeunion.net |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from 新加坡 · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Coreframe Cloud is a Bengaluru-based cloud for architects, visualisers and engineers. GPU cloud workstations A full Windows 11 desktop on a dedicated RTX 5080 (16 GB), streamed to any laptop. D5 Render, Blender, Twinmotion and Unreal Engine are preinstalled; bring your own licence for Lumion,...
ComputeUnion aggregates real-time pricing data for AI APIs and GPU cloud rentals across 70+ platforms, so developers stop wasting time on manual price checks. ▎ ▎ Compare 3,000+ models — GPT-5, Claude 4, Gemini 2.5, DeepSeek, and more — with prices updated every 6 hours via automated scrapers....
What each product offers, as listed by its team.


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


No analysis of Coreframe Cloud yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Coreframe Cloud and ComputeUnion.
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.
ComputeUnion's answer:
ComputeUnion was built out of personal frustration. Manually checking prices across a dozen AI platforms before every project was tedious and error-prone. The solution was to automate the entire process — building scrapers for every major provider and presenting the data in one unified interface. What started as a personal tool grew into a platform covering 70+ providers and 3,000+ models.
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.
ComputeUnion's answer:
ComputeUnion is one of the few platforms that tracks both AI API pricing and GPU cloud rental rates in one place, with data updated hourly via automated scrapers — not manually maintained spreadsheets. It also covers CN relay stations for developers in China, a niche completely ignored by Western competitors. With 150+ model-vs-model comparison pages and price history charts, it goes beyond simple price lists into actionable decision tools.
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
ComputeUnion's answer:
Most price comparison sites rely on manually updated data that goes stale within days. ComputeUnion runs automated scrapers across 70+ platforms every hour, so the prices you see are the prices you'll actually pay. It also covers more provider types in one place — official APIs, third-party relays, and GPU rentals — eliminating the need to check multiple sources before making a decision.
Coreframe Cloud's answer
Architects, interior designers and architectural visualisation studios, along with freelance 3D visualisers and students who need workstation-class hardware without buying it. A second group is HVAC and mechanical engineers who need pressure-drop numbers for ducts, pipes and fittings, including a three-mesh Verified study for when the answer has to stand up. The common thread is bursty work: heavy rendering or simulation before a deadline and very little after, which is exactly the pattern that makes owning a ₹5,00,000 machine hard to justify.
ComputeUnion's answer:
AI developers and ML engineers who use LLM APIs in production and want to minimize costs. Also serves researchers comparing GPU cloud providers for training workloads, and developers in China looking for cost-effective API relay stations.
Coreframe Cloud's answer
The workstations are Windows 11 machines, each with a dedicated RTX 5080 (16 GB), streamed to your laptop over an encrypted private network with latency low enough for real-time viewport work. D5 Render, Blender, Twinmotion and Unreal Engine ship on the standard image, and project files persist in storage in the same Bengaluru facility. CFD runs on dedicated compute machines, one per job, which are deleted when the job finishes. Payments go through Razorpay, with GST invoices for Indian customers.
ComputeUnion's answer:
Next.js 14, TypeScript, Tailwind CSS, PostgreSQL, Python, Vercel
ComputeUnion's answer:
▎ - Individual developers optimizing LLM API costs for side projects and startups ▎ - AI engineers at early-stage companies selecting inference providers ▎ - Researchers comparing GPU cloud costs for model training and fine-tuning
Share your experience with using Coreframe Cloud and ComputeUnion. For example, how are they different and which one is better?
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