GPU Cloud’s Fact -
The market for GPU as a service was estimated to be worth USD 3.23 billion in 2023 and is expected to increase at a compound annual growth rate (CAGR) of 35.8% from 2024 to 2032, from USD 4.31 billion to USD 49.84 billion.
At Cyfuture, we redefine computational potential with NVIDIA GPU Cloud, an advanced platform engineered to accelerate AI, deep learning, and high-performance computing workloads. Designed with cutting-edge GPU infrastructure, NVIDIA GPU Cloud provides unparalleled processing power that scales dynamically to meet evolving data and application demands.
By empowering organizations to run complex models with extraordinary speed and precision, we enable an unprecedented edge in innovation, delivering insights that drive smarter, faster decisions. Through seamless integration with our cloud architecture, NVIDIA GPU Cloud optimizes resources, reduces latency, and transforms the processing landscape for next-generation enterprises.
With Cyfuture and NVIDIA, harness the true power of GPU-driven cloud technology and stay ahead in a world defined by data and speed.
Transform your AI and high-performance computing initiatives with NVIDIA GPU Cloud (NGC) - your gateway to optimized containers, pre-trained models, and GPU-accelerated applications.
Contact us now!NVIDIA NGC is the gateway of enterprise services, software, management tools, and support for end-to-end AI and digital twin workflows. Help accelerate your solution's delivery with managed services or take advantage of performance-optimized software to build and deploy solutions on your preferred cloud, on-prem, and edge systems.
A GPU cloud server is a powerful computing resource. It includes one or more GPUs to accelerate processing and GPU server hosting, tackle intensive tasks, on-demand resources, and a flexible billing model. Some of the key features of our GPU cloud server include:
NVIDIA K80, P100, P4, T4, V100, and A100 GPUs available for cost and performance needs.
Balance processor, memory, performance, and up to 8 GPU Cloud Servers per instance. Pay only for what you use with per-second charging.
Industry-leading capacity, networking, and data analysis technologies.
Choose on-demand rentals for convenience or save over 50% with interruptible instances using spot auction-based pricing.
Choose from a range of security options, from basic to Tier-4 data centers.
Use our command-line interface to search the marketplace, filter, sort, and deploy instances quickly and easily.
Save over 50% with interruptible instances and auction-based pricing. The highest bidder instances run, and other instances are stopped.
Users may access and utilize GPU resources whenever necessary through a GPU cloud, eliminating the need to purchase and maintain actual hardware. This might be especially helpful for people or organizations who don't have the resources or expertise to manage their own GPU infrastructure.
It could be less expensive to rent GPU resources from Cyfuture than to purchase and maintain your hardware.
As demand changes, you can easily adjust your capacity by scaling up or down cloud GPU resources to meet your needs.
Cloud GPU resources allow for remote work and may be accessed from any location with an internet connection.
Many cloud GPU systems have simple, user-friendly interfaces that make managing GPU resources and spinning them up a breeze.
Cloud GPU resources often contain the newest and most powerful GPUs, which can provide outstanding performance for applications such as machine learning and data analytics.
Cloud GPU providers usually use robust security measures to protect your data and ensure the confidentiality of your work.
Cloud GPU providers often have redundant infrastructure in place to ensure service availability and minimize downtime.
Our cloud GPU servers are available for use anywhere in the world. Its global reach allows for low-latency access to computer resources from many geographic locations, enabling efficient data processing and delivery.
Resource optimization and energy saving are encouraged when GPU resources are shared in a cloud setting. A single GPU server may host several users while using less power overall, which helps to promote more ecologically friendly computing practices.
Cyfuture's offering of NVIDIA GPU Cloud stands at the very top of delivering computational strength designed for the seamless acceleration of workflows for Artificial intelligence, Deep learning, and HPC.
NVIDIA GPUs will help businesses combine advanced infrastructure with exceptional computational capabilities to render complex data processes effortlessly manageable. Join the potent combination of cutting-edge NVIDIA GPUs and a cloud environment engineered for relentless performance through Cyfuture.
The digital landscape is moving at the speed of an express; scalability is out of the question. Cyfuture's NVIDIA GPU Cloud comes with an extremely elastic architecture that grows with the changing requirements of your applications to keep your resources always optimized.
This elasticity preserves operational continuity and empowers companies to hit peak demands without compromising on performance. Cyfuture's infrastructure intuitively adjusts to accommodate higher loads, making it the best for organizations requiring on-demand scalability.
Data security and data integrity are at the forefront of any cloud infrastructure, especially with complex AI models and sensible data at play. In the NVIDIA GPU Cloud environment of Cyfuture, advanced encryption protocols, multi-layered firewalls, and real-time threat detection systems have been integrated to ensure maximum data protection with all global standards.
This translates to a very high level of security, and Cyfuture can be said to be a safe bet for companies committed to the highest standard of security.
The Cyfuture NVIDIA GPU Cloud translates to cost-effectiveness without pricing out the level of service or performance. In flexible pricing models, enterprises can balance the budget with GPU resources to attain maximum return on investment.
This means through resource optimization and smart load management, Cyfuture ensures that value is achieved by businesses that usually leave more brain power behind the cost and shift it to innovation.
Cyfuture brings to you NVIDIA's GPU Cloud, backed by a team of cloud experts and AI specialists available round-the-clock. Such a dedicated support network ensures smooth operations at each step with the brand promise of seamless troubleshooting, system optimization, and technical guidance.
Cyfuture aligns you with NVIDIA's revolutionary GPU technology while also bringing to your table a reliable partner solely committed to driving your success.
Cyfuture is reliant on the advanced GPU technology from NVIDIA, which provides excellent computational performance for cloud services. With access to the latest NVIDIA GPUs, in addition to even more powerful versions such as A100 and V100, every application would always enjoy high-speed processing, whether it is related to AI and machine learning or data analytics and high-performance computing.
NVIDIA GPU Cloud (NGC) is an integrated suite of software for deep learning and high-performance computing based on GPU acceleration. Containers are pre-integrated, optimized, and ready to deploy popular frameworks and tools, enabling easy deployments and scaling of GPU workloads in the cloud.
NGC accelerates your AI and deep learning projects with optimized software that maximizes the use of GPU power. Setup is simplified, and the time to configure is reduced. It also checks compatibility to let you get on with developing and training your models.
When setting up an NVIDIA GPU Cloud Server, you usually find a compatible cloud provider for your needs, choose your desired GPU instance type, and configure the server with NVIDIA GPU-optimized software in the NGC catalog.
Cloud GPUs are characterized by flexibility, scalability, and cost-effectiveness: access to powerful GPU resources on demand, no up-front hardware investment, and the ability to scale up or down based on the needs of a project.
The main cloud providers such as Cyfuture, AWS, Azure, GCP, and IBM Cloud provide Cloud GPU services and diverse options of GPUs in order to satisfy a broad spectrum of requirements with regard to performance and budget.
Yes, it exists, and many service providers local companies as well as international cloud GPU services in this region. Most of them cater to businesses and application developers by providing high-performance computing capabilities.
Cloud GPU hosting is a service that hosts an application in servers fitted with powerful GPUs. It can be an excellent hosting solution when one intends to run a resource-intensive application such as machine learning models or simulation without actually requiring the actual hardware, like the GPU.
The cost of Cloud GPU services can differ based on several factors such as the provider, the type of GPU, and the period of usage. However, generally, pricing is offered on a pay-as-you-go model or subscription basis so that users may choose a plan that best suits their budget and needs.
The cost will vary based on the type and model of the GPU, as well as the level of support and additional features provided to customers, depending on usage duration: by the hour or day with monthly fees. Data center location determines the cost.
GPU Cloud Services will benefit your business by giving you scalable and cost-effective access to powerful computational resources. It enables faster processing of complex tasks, boosts productivity, and lets you innovate without the need for significant upfront hardware investments.
Applications that require Cloud GPU services include training of machine learning and AI models, data analytics, scientific simulations, 3D rendering, video encoding, etc., which require huge parallel processing.
In addition to the cost of the hourly rate of the GPU instances, there might be extra costs incurred in storing data, transferring data, networking, and other services. The reader must read the price details provided by the provider and understand all the possible charges.
Besides the prices for GPU instances per hour, there are usually some added charges for storing your data, transferring the data, networking, and other services they may have. Thus, it is advisable to check on the provider's pricing details and know all the charges that could arise.
Let’s talk about the future, and make it happen!