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GPU as a Service

GPU as a Service

Power Your AI with Enterprise GPUs

Launch high-performance GPU workloads on demand with enterprise-grade cloud GPUs including H100, H200, A100, V100, and L40S. Designed for AI training, GenAI inference, deep learning, and large-scale data processing, our GPU cloud delivers speed, scalability, and reliability without the burden of hardware investment.

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What is GPU as a Service

GPU as a Service (GPUaaS) is a cloud computing model that provides on-demand access to powerful Graphics Processing Units (GPUs) over the internet. Instead of purchasing expensive GPU hardware and managing physical infrastructure, businesses rent GPU compute power from cloud hosting providers, paying only for what they use. This service is optimized for compute-intensive workloads like AI model training, machine learning inference, 3D rendering, scientific simulations, and high-performance computing (HPC).

GPUaaS eliminates the high upfront costs, maintenance overhead, and scalability challenges associated with on-premises GPUs. Users access cutting-edge NVIDIA or AMD GPUs through virtual instances, enabling rapid deployment and flexible scaling for fluctuating workloads. Providers handle hardware upgrades, cooling, power management, and security, allowing teams to focus on innovation rather than infrastructure.

Scale Smarter, Achieve More with GPU as a Service (GPUaaS)

Ever struggled to run AI, machine learning, or graphics-intensive workloads on limited hardware? You're not alone. Many businesses face the challenge of needing powerful GPUs without the headache of managing costly infrastructure. That's where GPU as a Service (GPUaaS) comes in.

Think of it as renting GPU power on-demand: scalable, secure, and ready whenever you need it. The GPUaaS market is growing fast, with top companies in GPU as a service showing how cloud-based GPU solutions can accelerate innovation.

Whether you're exploring the GPU as a Service Hivenet setup or looking for a practical GPUaaS guide, there are clear paths to harness this technology without complexity.

By understanding GPU as a Service meaning and seeing examples of trusted GPU as a Service providers, you can make informed choices, optimize costs, and focus on building solutions that truly matter, without worrying about the hardware behind it.

Our Core GPUaaS Offerings

GPU Advisory Services

We provide expert guidance to design custom GPU clusters, high-density training pods, or secure environments for regulated workloads. Our consultancy ensures scalable, compliant, and cost-efficient GPU architectures tailored to your AI and ML requirements.

Managed GPU Infrastructure

From sourcing GPUs like NVIDIA H100 gpu /H200 gpu or AMD MI series to deployment, we handle the entire lifecycle. This includes rack design, networking, cooling, and performance optimization, ensuring your GPU environments are production-ready from day one.

Dedicated GPUaaS (GPU PowerNode+)

Launch AI and ML workloads on fully isolated, high-performance GPU clusters. Our managed service guarantees performance, compliance, and seamless orchestration, giving you dedicated compute power without hardware management overhead.

GPU Fusion Services

Run distributed AI pipelines and large-scale training workloads with hybrid CPU-GPU infrastructure. Our managed platform offers low-latency communication, elastic scaling, intelligent scheduling, and orchestration for demanding AI and analytics applications.

eGPU Cloud

Access GPU resources like a utility, fully managed and monitored by our experts. Spin up secure, on-demand GPU environments or dedicated pods, optimized for high-performance workloads with 24x7 support.

Why wait? Accelerate your AI workloads today!

Businesses using Cyfuture Cloud GPUaaS scale training and inference faster, smarter, and more efficiently.

Get Started with GPUaaS

How GPU as a Service Works

Resource Provisioning

Users select GPU types (NVIDIA A100, H100, H200, etc.), instance sizes, and storage via a cloud dashboard or API, instantly spinning up virtual GPU environments.

Virtualization & Sharing

Advanced virtualization (like NVIDIA MIG) partitions physical GPUs into isolated instances, enabling multiple users to share resources securely without interference.

Pay-as-You-Go Billing

Charges are based on hourly usage, GPU type, memory allocation, and data transfer—converting capital expenses into predictable operational costs.

Scalable Orchestration

Kubernetes or cloud-native schedulers automatically scale GPU clusters up or down based on workload demands, optimizing performance and efficiency.

Data Integration

Seamless connection to object storage, databases, and data lakes enables high-speed data ingestion for large-scale GPU workloads.

Pre-configured Environments

Providers offer optimized images with CUDA, TensorFlow, PyTorch, and other frameworks pre-installed for immediate productivity.

Monitoring & Management

Real-time dashboards track GPU utilization, temperature, job queues, and costs, with auto-scaling and fault-tolerant features built in.

Access Anywhere

Secure remote access is available via SSH, web consoles, or Jupyter notebooks from any location with internet connectivity.

Key Technical Features of Cyfuture Cloud GPUaaS

Elastic and Scalable Infrastructure

Our GPUaaS solutions are built to expand with your business needs. Easily scale compute power, storage, and network capacity without disruption, ensuring your AI and ML workloads run efficiently at any size.

Advanced Security and Compliance

We implement cutting-edge security measures and compliance protocols to protect your data and workloads. From encryption to network security, your GPU environments remain safeguarded against evolving cyber threats.

Ultra-Fast Connectivity

Experience high-speed, low-latency networking designed for data-intensive applications. Our infrastructure ensures smooth data transfer and real-time performance for AI training, inference, and analytics tasks.

24/7 Expert Monitoring

Our dedicated team continuously monitors GPU clusters and cloud infrastructure, proactively identifying and resolving issues to maintain maximum uptime and reliability for your workloads.

Sustainable and Energy-Efficient Design

We prioritize eco-friendly practices by integrating energy-efficient hardware and sustainable operations across our data centers, reducing your carbon footprint while delivering high performance.

Proven Expertise and Support

Leverage the knowledge of our experienced professionals, who bring years of cloud and AI infrastructure expertise to ensure your GPUaaS setup is optimized, compliant, and future-ready.

Cyfuture Cloud Perspective: GPU as a Service (GPUaaS)

At Cyfuture Cloud, we understand that modern AI, ML, and data-intensive workloads demand more than just hardware—they require reliable, high-performance GPU infrastructure. Our GPU as a Service (GPUaaS) is designed to deliver scalable compute power on demand, helping businesses accelerate innovation without the complexities of managing dedicated hardware.

Security and compliance are at the core of our offering. Every GPUaaS deployment is safeguarded with advanced security protocols, access controls, and continuous monitoring, ensuring your critical AI and ML workloads remain protected against evolving cyber threats. Our infrastructure aligns with industry standards, giving you peace of mind while you focus on growth.

Reliability and uptime are essential for mission-critical workloads. Cyfuture Cloud's GPUaaS environments are built with redundant systems, high-speed interconnects, and robust monitoring, minimizing downtime and ensuring smooth operation for large-scale AI training, inference, and analytics tasks.

With GPU cloud services from Cyfuture Cloud, you gain flexibility, scalability, and expert guidance. Whether you're exploring GPU as a Service Hivenet setups, evaluating the GPUaaS market, or comparing top GPU as a Service companies, our solutions provide a dependable platform to power your AI ambitions.

Partner with Cyfuture Cloud and unlock the full potential of GPUaaS, combining performance, security, and scalability to meet your business and AI infrastructure needs today.

Why Choose Cyfuture Cloud for GPU as a Service (GPUaaS)

  • Proven AI & GPU Expertise

    With years of experience in cloud and GPU infrastructure, we deliver high-performance, reliable GPUaaS solutions that help businesses run AI, ML, and data-intensive workloads efficiently and at scale.

  • Tailored Solutions for Your Needs

    Every business is unique. We work closely with you to design custom GPU architectures, from dedicated clusters to cloud-based SuperPODs, ensuring your infrastructure perfectly matches your AI/ML requirements.

  • Security and Compliance First

    Your data is critical. Our GPUaaS offerings come with robust security protocols, continuous monitoring, and compliance-ready setups, giving you peace of mind while powering mission-critical workloads.

  • Scalable and Flexible Infrastructure

    Whether you need a small GPU cluster or an enterprise-grade deployment, our solutions scale on-demand, letting you grow AI workloads seamlessly without worrying about hardware limitations.

  • End-to-End Support and Guidance

    From planning and deployment to 24x7 monitoring and optimization, our experts are with you every step of the way, ensuring smooth operations and maximum ROI from your GPU investment.

  • Expert Advisory & Consultation

    Our experienced team offers consultancy for GPU SuperPOD setups, Hivenet configurations, and AI infrastructure planning, helping you make informed decisions before scaling your AI environment.

Key Aspects of Cyfuture Cloud's GPUaaS

Enterprise-Grade GPUaaS

Cyfuture Cloud delivers enterprise-grade NVIDIA GPUs with fully managed, scalable infrastructure optimized for AI/ML, rendering, and high-performance computing workloads.

High-Performance GPU Options

Access NVIDIA H100 (80GB), A100 (40/80GB), V100, RTX A6000, and L40S GPUs with multi-GPU clusters scaling beyond 8 GPUs per node and MIG-based workload isolation.

Flexible Pay-As-You-Go Pricing

Per-second billing starting at ₹1.5 per GPU hour, with reserved instances offering 20–50% savings and spot pricing discounts up to 70%—no egress fees or lock-ins.

Tier III Certified Infrastructure

Built on Tier III certified data centers with 99.99% uptime, NVMe SSD storage, InfiniBand networking, ISO 27001 compliance, and low-latency APAC locations.

Instant Scalability & Management

One-click provisioning via an intuitive dashboard, Kubernetes integration, auto-scaling capabilities, and free migration services for fast, seamless deployment.

Cost Optimization Tools

Reserved Cloud for dedicated capacity, off-peak discounts, right-sizing recommendations, and complimentary GPU utilization audits to maximize ROI.

Real-World Use Cases of GPU as a Service (GPUaaS)

AI & Machine Learning Model Training

Accelerate large-scale machine learning and deep learning model training with high-performance GPUs. Ideal for enterprises and startups developing predictive analytics, recommendation engines, and intelligent automation solutions that demand massive parallel computing power.

Generative AI & LLM Inference

Power generative AI applications, large language models (LLMs), and intelligent chatbots with low-latency GPU acceleration. Ensure faster inference, improved user experience, and seamless scalability for real-time AI deployments.

Data Science & Advanced Analytics

Process vast datasets and perform complex analytical workloads with GPU-accelerated infrastructure. Reduce model training time, optimize data workflows, and unlock faster insights from big data environments.

Computer Vision & Image Processing

Deploy GPU-backed resources for image recognition, object detection, facial recognition, and video analytics. Perfect for industries such as retail, healthcare, smart cities, and security operations.

High-Performance Computing (HPC)

Support compute-intensive workloads including scientific simulations, financial modeling, and engineering computations. GPUaaS enables scalable HPC environments without heavy capital expenditure.

AI Chatbots & Voicebots

Enhance conversational AI systems with GPU-powered processing for faster responses, improved NLP accuracy, and real-time interaction across customer engagement platforms.

Media Rendering & 3D Visualization

Accelerate video rendering, animation, VFX production, and 3D modeling tasks with dedicated GPU instances—ideal for studios, designers, and creative professionals managing graphics-heavy projects.

Healthcare & Drug Discovery

Enable advanced genomics analysis, medical imaging, and AI-driven drug discovery simulations with high-performance GPU computing designed for complex healthcare datasets.

Autonomous Systems & Robotics

Train and deploy AI models for autonomous vehicles, robotics, and edge AI systems requiring real-time data processing and high computational efficiency.

Cloud Gaming & Streaming

Deliver immersive cloud gaming and GPU-intensive streaming experiences with scalable, low-latency infrastructure optimized for graphics-heavy applications.

3 Hyperscale Data Centers

Colocation Noida

Data Center in Noida

Our Noida Data Center, MeiTy empaneled, boasts two floors dedicated to data centers, providing over 500 rack spaces for your business needs.

Data Center in Jaipur

Data Center in Jaipur

Cyfuture’s Sitapura IT Park, Jaipur, data centre is a fully secure, Tier 3 Certified from TIA 942 facility that provides domestic and international colocation.

Data Center in Raipur

Data Center in Raipur

Discover our cutting-edge Data Center in Raipur, designed to offer secure and reliable infrastructure for your business operations, ensuring seamless performance.

MeiTy-Empaneled, Tier III Data Center

MeiTy-Empaneled Data Center

Our MeiTy-empaneled, Tier III Data Center in India is designed to deliver secure, scalable, and high-performance infrastructure for mission-critical IT operations. With advanced redundancy, robust physical and network security, and 24/7 monitoring, we ensure uninterrupted uptime and reliable performance.

Our colocation services offer businesses a fully managed, compliant environment for hosting servers and applications, enabling seamless scalability, cost efficiency, and enhanced data protection.

Certifications

  • SAP

    SAP Certified

  • MEITY

    MEITY Empanelled

  • HIPPA

    HIPPA Compliant

  • PCI DSS

    PCI DSS Compliant

  • CMMI Level

    CMMI Level V

  • NSIC-CRISIl

    NSIC-CRISIl SE 2B

  • ISO

    ISO 20000-1:2011

  • Cyber Essential Plus

    Cyber Essential Plus Certified

  • BS EN

    BS EN 15713:2009

  • BS ISO

    BS ISO 15489-1:2016

Awards

Awards
Awards
Awards
Awards
Awards
Awards

Testimonials

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Thanks to Cyfuture Cloud's reliable and scalable Cloud CDN solutions, we were able to eliminate latency issues and ensure smooth online transactions for our global IT services. Their team's expertise and dedication to meeting our needs was truly impressive.

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Since partnering with Cyfuture Cloud for complete managed services, Boloro Global has experienced a significant improvement in their IT infrastructure, with 24x7 monitoring and support, network security and data management. The team at Cyfuture Cloud provided customized solutions that perfectly fit our needs and exceeded our expectations.

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Cyfuture Cloud's colocation services helped us overcome the challenges of managing our own hardware and multiple ISPs. With their better connectivity, improved network security, and redundant power supply, we have been able to eliminate telecom fraud efficiently. Their managed services and support have been exceptional, and we have been satisfied customers for 6 years now.

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With Cyfuture Cloud's secure and reliable co-location facilities, we were able to set up our Certifying Authority with peace of mind, knowing that our sensitive data is in good hands. We couldn't have done it without Cyfuture Cloud's unwavering commitment to our success.

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Cyfuture Cloud has revolutionized our email services with Outlook365 on Cloud Platform, ensuring seamless performance, data security, and cost optimization.

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With Cyfuture's efficient solution, we were able to conduct our examinations and recruitment processes seamlessly without any interruptions. Their dedicated lease line and fully managed services ensured that our operations were always up and running.

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Thanks to Cyfuture's private cloud services, our European and Indian teams are now working seamlessly together with improved coordination and efficiency.

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The Cyfuture team helped us streamline our database management and provided us with excellent dedicated server and LMS solutions, ensuring seamless operations across locations and optimizing our costs.

Key Differentiators: AI Voicebot

  • Enterprise-Grade GPU Infrastructure (NVIDIA & AMD GPUs)
  • Fully Managed 24x7 Monitoring and Support
  • Advanced Security and Compliance-Ready Setup
  • Scalable Compute on Demand
  • Optimized AI/ML Performance with Low Latency
  • Energy-Efficient Operations
  • Redundant Power and Fail-Safe Hardware
  • Expert Advisory for GPUaaS and AI Infrastructure

Technology Partnership

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  • Technology Partnership

FAQs: GPU as a Service (GPUaaS)

What is GPU as a Service (GPUaaS)?

GPUaaS is a cloud-based solution that provides on-demand access to high-performance GPU resources for AI, ML, and data-intensive workloads without owning physical hardware.

What are the benefits of GPU as a Service?

Scalable compute, cost efficiency, high-performance AI/ML processing, reduced hardware management, and fast deployment for large workloads.

How does GPU as a Service work?

Users access GPU clusters via the cloud. Workloads are executed on remote GPUs with secure, managed infrastructure, while scaling resources as needed.

Who offers GPU as a Service?

Top providers include Cyfuture Cloud, AWS, Google Cloud (GCP), Microsoft Azure, and other leading GPUaaS companies globally.

What is the demand for GPU as a Service?

The GPUaaS market is growing rapidly, driven by AI, ML, deep learning, and cloud gaming adoption worldwide.

What is the business model of GPUaaS?

Typically subscription-based or pay-as-you-go, where customers pay for compute usage without investing in physical GPU hardware.

Can small businesses benefit from GPUaaS?

Yes, GPUaaS offers scalable, cost-effective access to high-end GPUs for startups and SMEs running AI/ML workloads.

How does Cyfuture Cloud GPUaaS stand out?

With managed GPU infrastructure, security-first architecture, scalable compute, and expert support for AI and ML workloads.

What is the market forecast for GPUaaS?

The global GPUaaS market is projected to grow significantly, reflecting increased AI adoption and enterprise GPU investments.

How can I get started with GPUaaS?

Connect with Cyfuture Cloud experts to configure GPU clusters and deploy scalable, high-performance GPU resources for your workloads.

What is GPU-as-a-Service (GPUaaS) or GPU Cloud?

GPU-as-a-Service (GPUaaS) delivers on-demand access to powerful graphics processing units via the cloud, eliminating the need for upfront hardware purchases. It enables AI/ML workloads, rendering, simulations, and data analytics with scalable compute power. Cyfuture Cloud's GPUaaS provides instant provisioning of high-end GPUs like NVIDIA H100s for enterprises.

How much does GPUaaS cost?

Costs vary by provider and GPU type, typically ranging from $1–10 per GPU hour for entry-level models to $5–20+ for premium GPUs like H100. Cyfuture Cloud offers competitive pricing starting at ₹150 per GPU hour with flexible billing and no long-term commitments.

When should I choose GPUaaS vs on-prem GPUs?

Choose GPUaaS for variable workloads, rapid prototyping, or cost-sensitive projects that need instant scalability without large upfront capital expenses. On-prem GPUs are better suited for consistent, high-utilization workloads with strict latency requirements. GPUaaS is ideal for startups and bursty AI training.

What is GPU as a Service (GaaS) offered by Cyfuture Cloud?

Cyfuture Cloud’s GaaS delivers enterprise-grade, on-demand NVIDIA GPUs such as A100, H100, and RTX series, combined with NVMe storage and InfiniBand networking. Fully managed with 99.99% uptime, it supports AI training, inference, VFX rendering, and HPC workloads—deployable in minutes via an intuitive dashboard.

Which GPUs are available through Cyfuture Cloud GPUaaS?

Cyfuture Cloud offers NVIDIA H100 (80GB), A100 (80GB/40GB), V100, RTX A6000/A5000, and L40S GPUs. Multi-GPU clusters scale beyond 8 GPUs per node, with MIG partitioning available on H100 and A100 for efficient workload isolation.

How does pricing work for Cyfuture Cloud GPUaaS?

Pricing follows a per-second pay-as-you-go model ranging from ₹1.5 to ₹25 per GPU hour. Reserved instances offer 20–50% discounts, while spot pricing provides up to 70% savings for interruptible workloads. There are no egress fees, ensuring transparent and predictable billing.

What are the benefits of Cyfuture Cloud Reserved Cloud?

Reserved Cloud offers up to 50% cost savings, guaranteed dedicated GPU capacity, custom SLAs, and priority support. It is ideal for predictable, mission-critical workloads and includes free migration, 24/7 monitoring, and ISO 27001 compliant infrastructure.

How can I optimize GPU costs with Cyfuture Cloud?

  • Use spot instances for non-urgent jobs.
  • Leverage auto-scaling and right-sizing through the dashboard.
  • Enable MIG for multi-tenancy on H100 and A100 GPUs.
  • Schedule workloads during off-peak hours to benefit from discounts.
  • Integrate with Kubernetes for efficient orchestration—Cyfuture also provides free GPU optimization audits.
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