Your IT Infrasturture Cloud GPU Partner for AI Innovation
Just look in Silicon Valley for so many start-ups that wrote great codes for pilot product but could not scale because of high IT Infrastructure costs. Build the fastest, cost-effective and flexible IT infrastructure with us that overcomes challenges of new technology, scale and future growth


Leading-edge Cloud GPU Solutions
With highest rating among engineers, developers, and enterprises, previously we became world leaders in Telecom Value-Added Services (VAS) that brought scale, optimal IT Infrastructure architecture and tremendous growth for mobile technology
Drive efficiency gains achieved with GPU-based acceleration for super computing ensuring cost-optimal scalability with straight-forward and usage-based pricing
Designed for vast amounts of data and calculations Training and Inference of complex models
Minimize Costs
Save up to 50% on coordination, management, planning, and operational services compared to other providers, achieve higher ROI
Accelerated GPU Processing
Achieve accelerated sustainable computing with dynamic, collaborative access to efficiently distribute batch jobs, data analytics, and scalable HPC and cloud resources
Bleeding Edge Infrastructure
Access low-latency edge nodes worldwide for optimal performance, strategically locate workloads across the globe
Interoperability Across Multiple Clouds
Achieve platform-independence with your existing hybrid or multi-cloud setups without any disruptions
Flexible On-Demand Capacity
Utilize thousands of 3D-accelerated GPUs to distribute data batch jobs, manage HPC workloads, and handle rendering queues as needed. Our infrastructure scales with your needs, ensuring you always have the resources you require
Cost-Effective Usage
Leverage low-latency edge nodes globally to optimize workload placement and reduce costs effectively. Achieve maximum efficiency while keeping expenses under control
Our State-of-the-Art Cloud GPU Infrastructure
NVIDIA DGX B200
The NVIDIA DGX™ B200 is a unified AI platform for develop-to-deploy pipelines for businesses of any size at any stage in their AI journey. Equipped with eight NVIDIA Blackwell GPUs interconnected with fifth-generation NVIDIA® NVLink®, the DGX B200 delivers top performance. It offers three times the training performance and fifteen times the inference performance of previous generations. With the NVIDIA Blackwell GPU architecture, the DGX B200 can handle diverse workloads, including large language models, recommender systems, and chatbots. Therefore, it is ideal for businesses looking to accelerate their AI transformation.


NVIDIA H200 Tensor Core
The NVIDIA H200 Tensor Core GPU supercharges generative AI and high-performance computing (HPC) workloads. Since it is the first GPU with HBM3e, the H200’s larger and faster memory accelerates generative AI and large language models (LLMs), advancing scientific computing for HPC workloads.
NVIDIA HGX™ H100
The NVIDIA HGX H100 combines H100 Tensor Core GPUs with high-speed interconnects to form the world's most powerful servers. We deliver state-of-the-art enterprise scale-out architecture with up to 16,384x NVIDIA H100 multi-node instances together with AI-optimized network storage solutions.


NVIDIA L40S
NVIDIA L40S GPUs deliver exceptional multi-workload performance. Combining powerful AI compute with best-in-class graphics and media acceleration, they are ideal for GenAI, LLM, machine learning inference and training, as well as 3D graphics, rendering, and video processing.
Frequently Asked Questions
A cloud GPU is a virtualized, high-performance processor hosted in the cloud offering users access to powerful computing sustainable resources for various tasks designed to handle complex graphical and parallel processing tasks like rendering, deep learning, AI, natural language processing, data reasoning and machine learning
The most optimum cloud GPU depends on your specific needs. We offer several top-performing NVIDIA cloud GPUs, including the NVIDIA DGX B200, NVIDIA H200 Tensor Core, NVIDIA HGX H100, and NVIDIA L40S. Each of these GPUs excels in different areas, from large-scale AI models to HPC workloads, ensuring you find the right fit for your needs.
Yes, NVIDIA offers cloud GPU solutions. Our infrastructure is built on NVIDIA's advanced GPU technology, delivering unparalleled performance for rendering, AI, deep learning, NLP and ML applications.
Cloud GPUs are used for a variety of high-computational tasks. Use Cloud GPUs for deep learning, AI, machine learning, and HPC. They allow for efficient data processing, training of large language models, rendering tasks, and more. With our cloud GPU servers, users can leverage NVIDIA cloud GPUs to accelerate their computational workloads effectively.
Cloud CPUs are virtualized processing units hosted in the cloud. They provide scalable, on-demand computational power for various applications, offering flexibility, cost-effectiveness, and high performance without the need for physical hardware.
For more details, visit our Cloud CPU page.