Coreframe Cloud VS Hostnot GPU.ae

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.

Hostnot GPU.ae's answer:

HostNotGPU brings GPU compute from multiple infrastructure sources into one unified platform. Instead of customers searching across different providers for GPU availability, pricing and configurations, HostNotGPU aims to provide a single place to discover, deploy and manage GPU infrastructure. Our asset-light model allows us to expand GPU choices and regions through infrastructure partnerships while providing customers with a consistent interface, billing system and API.

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

Hostnot GPU.ae's answer:

HostNotGPU focuses on simplicity, choice and transparent pricing. Customers can compare available GPU configurations and deploy compute without managing accounts across multiple infrastructure providers. We provide a unified dashboard, straightforward hourly pricing, API access and a growing selection of NVIDIA GPU configurations. Our goal is to make powerful GPU infrastructure as easy to access as a traditional cloud server.

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.

Hostnot GPU.ae's answer:

HostNotGPU is built for AI developers, startups, researchers, machine learning engineers and businesses that need on-demand GPU computing. Typical workloads include LLM inference, AI model training and fine-tuning, machine learning, image and video generation, rendering and other GPU-intensive applications. It is especially useful for teams that need GPU capacity without purchasing and maintaining expensive physical hardware.

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.

Hostnot GPU.ae's answer:

HostNotGPU started from a simple problem: getting the right GPU for an AI workload can be surprisingly complicated. GPU availability, pricing, regions and deployment methods vary significantly between infrastructure providers. We saw an opportunity to simplify this by building a unified GPU cloud platform. HostNotGPU was created to connect distributed GPU infrastructure with developers and businesses that need compute, making it easier to find, deploy and manage GPUs through one platform. Our long-term vision is to build a global compute marketplace where GPU capacity from multiple infrastructure partners can be accessed through a consistent experience and API.

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.

Hostnot GPU.ae's answer:

HostNotGPU is built primarily with Next.js, React and TypeScript for the application platform, PostgreSQL for persistent data, Redis and BullMQ for caching and background job processing, and API-based integrations for GPU infrastructure providers. The platform also incorporates automated provisioning, billing and wallet infrastructure, role-based access controls, security protections and REST APIs for programmatic GPU access.

Hostnot GPU.ae's answer:

HostNotGPU is currently in its early growth stage, and we do not publicly disclose customer names at this time.