HPC-AI
HPC-AI is an enterprise AI infrastructure and GPU cloud platform designed to accelerate deep learning training, inference, and large-scale compute workloads with high performance and cost efficiency. It delivers a pre-configured AI-optimized stack that enables rapid deployment and real-time inference while supporting demanding workloads that require high IOPS, ultra-low latency, and massive throughput. It provides a robust GPU cloud environment built for artificial intelligence, high-performance computing, and other compute-intensive applications, giving teams the tools needed to run complex workflows efficiently. At its core, the company’s software focuses on parallel and distributed training, inference, and fine-tuning of large neural networks, helping organizations reduce infrastructure costs while maintaining performance. It is powered in part by technologies such as Colossal-AI, which significantly accelerates model training and improves productivity.
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Coreframe Cloud
Coreframe Cloud provides Windows GPU workstations for architecture, interior design, 3D visualization, rendering and engineering. Customers connect from a Windows computer using the Coreframe Connect app and work on a desktop with a dedicated NVIDIA RTX GPU. Blender, D5 Render, Twinmotion and Unreal Engine are preinstalled; commercial applications require the customer's own license and can be set up with assistance. On-demand access starts at $1.49 per GPU-hour and is billed by the minute from a prepaid wallet. Team plans with shared hours and storage are also available. Files saved to the project drive remain between sessions, while standard workstation sessions reset to a clean image; an optional persistent workstation retains its Windows disk. Workstations are hosted in a Tier III data center in India. It serves architects, interior designers, 3D artists, visualization studios and engineers who need GPU-intensive software without maintaining workstation hardware.
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ex5.ai
ex5.ai is a cloud GPU marketplace and AI compute platform for renting on-demand or interruptible GPU instances. Users can compare available hardware and regional offers, launch GPU machines for model development, training, fine-tuning or inference, and pay from a prepaid credit balance with per-second compute billing. The service also provides an OpenAI-compatible model API, a browser-based chat workspace and hosted fine-tuning with deployment of private model endpoints. GPU prices vary by model, host, location and availability; credits can be added in advance, with a $5 minimum top-up and no subscription. The web console brings GPU compute and AI model services together, while API access supports applications that use compatible chat-completion requests.
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GPUBank
GPUBank is a cloud GPU rental platform for developers, machine-learning practitioners, and research teams that need accelerated compute for AI and other GPU workloads. Through its web console, customers can select NVIDIA or AMD GPU instances, choose a deployment region, and start preconfigured environments for tasks such as model training, inference, fine-tuning, image generation, and framework development. Available templates include PyTorch, vLLM, ComfyUI, and Ollama. The service provides an API, command-line interface, Python SDK, and Terraform provider for provisioning and usage management. GPU compute is priced by the second, with the selected instance's CPU, memory, local NVMe storage, public IPv4, and network traffic included in the hourly rate; persistent disks are billed separately. Customers can use on-demand, interruptible, or reserved capacity across listed data-center regions.
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