GPU as a Service (GPUaaS) for AI

NovaGPU: On-Demand GPU Power for Your AI/ML Tasks

Affordable, scalable GPU resources for small-to-mid-sized AI/ML workloads. Train models, run inference, and more—while keeping costs manageable.

NovaGPU: GPU as a Service in Malaysia

Accelerate your AI projects with IP ServerOne’s NovaGPU—on-demand, cost-effective GPU as a Service, tailored for small to mid-sized AI models, all without breaking the bank.

Sustaining AI projects can be challenging, especially when returns take 2-5 years to materialize. Investing in costly dedicated GPUs too early can drain resources—particularly during the trial-and-error phase of selecting the right GPU. NovaGPU by IP ServerOne bridges this gap by offering GPU as a Service, providing on-demand access to high-performance yet affordable GPUs—from RTX 3090 Ti and RTX 4090 to RTX 6000 Ada and H200 NVL—without the burden of upfront costs, complex setups, or infrastructure management. Designed for AI developers, researchers, and enterprises working with small-to-mid-sized AI models, NovaGPU enables seamless training, fine-tuning, and deployment. With flexible pay-per-use or subscription options, you can scale your AI projects efficiently. Fully managed and hosted in Malaysia, it ensures data sovereignty compliance while making AI development cost-efficient, scalable, and hassle-free.

The Challenges of AI: High Costs, Complex Infrastructure, and Data Risks

High Cost of GPUs

Training complex models, running deep learning, natural language processing (NLP), or scientific simulations all require GPUs—an expensive upfront investment that creates a major barrier.

Infrastructure Design and Maintenance

AI/ML workloads require specialized networking, storage, and compute resources, which can be challenging to configure optimally. Hardware failures and GPU degradation can disrupt operations.

Data Sovereignty and Compliance

For industries with strict data regulations, running AI/ML projects across borders is challenging. NovaGPU keeps your data in Malaysia, ensuring compliance with local laws and protection from cross-border risks.

Protecting Your AI Data—Hourly, Daily, and Weekly

When you’re focused on developing AI models or processing real-time data, worrying about data loss should be the last thing on your mind. With NovaGPU, you can have peace of mind with automated tiered backups:

  • Hourly backups: Retained for the last 15 hours
  • Daily backups: Retained for the last 7 days
  • Weekly backups: Retained for the last 4 weeks

Whether you’re recovering from unexpected system failures or safeguarding your evolving AI models, your data is protected at every stage.

IP ServerOne NovaCloud: Auto Backup

Benefits of NovaGPU

Cost-Effective GPUaaS

NovaGPU provides affordable, high-performance GPUs with flexible pay-per-use or subscription models, ensuring sustainable costs and predictable pricing—perfect for long-term AI projects.

Scalable On-Demand

Easily scale GPU resources up or down to match your project needs, from small-to-mid-sized AI models to complex deep learning tasks, optimizing GPU usage and maximizing ROI.

Peace of Mind

Enjoy 24/7 support and hosting in a secure, high-availability Tier III data center so you can focus on your core business while we handle your infrastructure.

Business Continuity

With 99.9% uptime guaranteed in our SLA, NovaGPU ensures reliable service, backed by data redundancy and automated backups, minimizing disruptions and data loss.

Accelerate AI Deployment

Access mid-to-high-end GPUs, including the NVIDIA H200 NVL, to speed up AI training, fine-tuning, and real-time inference—reducing iteration time and accelerating deployment.

Optimized for AI Workloads

NovaGPU balances performance, cost, and scalability for small-to-mid-sized AI projects, supporting diverse applications, from LLMs and generative AI to scientific simulations.

Fully Managed AI Infrastructure

With NovaGPU, we handle hardware failures, repairs, and maintenance, freeing you from infrastructure management and allowing you to focus entirely on your AI projects.

Safe and Secure Domestic Cloud

NovaGPU ensures your data stays local, complying with Malaysia’s data sovereignty laws and global standards like ISO27017 and PCI-DSS, offering top-tier security and protection.

Dream Big, Compute Bigger!

Unleash the full potential of your projects with high-performance GPU servers today.

Key Features of NovaGPU

Dream Big, Compute Bigger!

On-demand GPUs for AI/ML. From MYR1.96/hour for RTX 3090 Ti, MYR19.13/hour for H200 NVL.

26+ copies Data Protection & Backup

NovaGPU protects your data with automatic backups every hour, day, and week, ensuring quick recovery in case of cyberattacks or disasters to maintain uninterrupted AI development and deployment.

High-Performance NVIDIA GPUs

With NVIDIA GPUs like RTX 3090 Ti, RTX 4090, RTX 6000 ADA, and H200 NVL, NovaGPU accelerates AI/ML training, fine-tuning, and real-time inference, efficiently handling complex AI workloads and deep learning tasks.

Data Redundancy & Availability

NovaGPU ensures high availability and data security with automatic redundancy across multiple data centers, minimizing downtime and safeguarding AI workloads from unexpected disruptions.

Optimized for AI/ML & HPC Workloads

Designed for demanding AI/ML and high-performance computing (HPC) tasks, NovaGPU ensures high-speed training, precise inference, and reliable performance for complex models and custom applications.

Seamless Model Fine-Tuning

Easily fine-tune your pre-trained models on NovaGPU, enhancing accuracy and performance for your AI applications in a secure, reliable local cloud environment.

24/7 Support Assistance

Benefit from around-the-clock support from our experienced engineers, ensuring your GPU instances run smoothly, with quick issue resolution to maintain optimal performance.

Standard Features

Platform Ease of Use

  • Spin up GPU instances: Quickly launch GPU instances for AI workloads.

  • Resize on-demand: Scale resources to fit project needs.

  • Manage security access: Control access for secure operations.

  • Billing & Transactions: Easily manage payments and view billing details.

Infrastructure and Performance

  • Hybrid Cloud Ready: Seamlessly integrate with hybrid cloud environments.

  • SSD Storage: Benefit from fast and reliable SSD storage.

  • HA Cloud Infrastructure: High availability with automated failover.

  • No Vendor Lock-in: Enjoy flexibility with no vendor restrictions.

  • NovaCloud Care: Managed service with additional charges.

Security and Protection

  • Anti-DDoS Protection: Free 5Gbit/s protection against DDoS attacks.

  • Customizable Security Group: Easily configure firewall settings.

  • Key-based Authentication: Secure access with public and private keys.

  • Tier III Data Center: Hosted in a compliant Tier III data center with ISO 27001, ISO 27017, and SOC 2 Type II.

Instance Management

  • Flexible Pricing Models: Choose pay-per-use or subscription-based options.

  • Supported OS: Ubuntu is currently supported.

  • Scalable On-Demand: Resize, rebuild, and scale your instance as needed.

  • Optimization Features: Shelve, unshelve, stop, reboot, and manage multi-volume and multi-snapshot attachments.

GPUs Benchmark

GPU Compute Performance

AI Processing Power: TOPS vs TPS

Notes:

Available NovaGPU Options

We offer a range of NVIDIA GPUs options to cater to your specific AI/ML needs:

Note: Performance estimates are general guidelines and may vary depending on your AI model, dataset, software, and hardware configuration. For detailed benchmarks, refer to NVIDIA’s official website.

Find the Right GPU for Your AI/ML

Comparing RTX 3090 Ti, RTX 4090, RTX 6000 Ada, H100 SXM, and H200 NVL

Find the Right GPU for Your AI/ML

Choosing the right GPU for AI/ML can be tricky. Use our quick comparison to find the best fit—for reference only.

Specification RTX 3090 Ti RTX 4090 RTX 6000 Ada H200 NVL
Architecture Ampere Ada Lovelace Ada Lovelace Hopper
CUDA Cores 10,752 16,384 18,176 Estimated over 20,000
Tensor Cores 336 (3rd Gen) 512 (4th Gen) 568 (4th Gen) 1,370 (5th Gen)
GPU Memory (VRAM) 24GB GDDR6X 24GB GDDR6X 48GB GDDR6 141GB HBM3e
Memory Bandwidth 1,008 GB/s 1,008 GB/s 960 GB/s 4,800 GB/s
FP16 (TFLOPS, Tensor Cores, with Sparsity) 320 661 732 1,979
INT8 (TOPS, Tensor Cores, with Sparsity) 642 (INT8) 1,321 (FP8/INT8) 1,463 (FP8/INT8) 3,958 (FP8/INT8)
NVLink Support Yes (2nd Gen) No No Yes (4th Gen)
Process Node 8nm (Samsung) 4nm (TSMC) 4nm (TSMC) 4nm (TSMC)
AI Use Case Small-scale AI training/inference (e.g., 7B LLMs) Medium-scale AI training/inference (e.g., 13B–22B LLMs) Large-scale AI training/inference (e.g., 44B LLMs) Massive-scale AI training/inference (e.g., 100B+ LLMs)
Important Notes:
  • Source of Data: Based on NVIDIA’s official specs, community benchmarks, and calculated estimates; some figures are approximations due to limited public disclosure.
  • Purpose: Helps users compare GPUs for AI/ML workloads by analyzing key specs like Tensor Core performance, VRAM, and memory bandwidth. Not a definitive recommendation.
  • Accuracy: Data is accurate as of April 1, 2025, but performance may vary based on software, workloads, and hardware configurations. Users should verify details for their needs.
  • Further Information: For the latest specs, check NVIDIA’s website or community forums. We are not responsible for external sources’ accuracy.

NovaGPU Plans and Pricing

Explore our Cloud GPU plans for AI training—accelerate machine learning, deep learning, and data processing with RTX 3090 Ti, RTX 4090, RTX 6000 Ada, and H200 NVL.

GPU Model: RTX 3090 Ti

GPU Model: RTX 4090

GPU Model: RTX 6000 Ada

GPU Model: H200 NVL

More Details:

All plans include:

SINGLE GPU Plans

DUAL GPU Plans

QUAD GPU Plans

+: Subject to 8% SST

Prices are provided as a guide, may vary due to changes in foreign exchange rates.

Related Services

Enhance your NovaGPU experience with IP ServerOne’s solutions, ensuring seamless performance and peace of mind for your AI journey.

NovaCloud

Cloud Computing for Everyone. 

Managed Private Cloud

Dedicated and Customized Cloud Environment.

Bare Metal Solution

Raw Power, Tailored Solutions, Ironclad Security.

Colocation

A Safe Space for Your Servers and IT Equipment.

Use Cases for GPU Servers

Common deployment scenarios for NovaGPU.

Frequently Asked Questions

GPU as a Service (GPUaaS) is a cloud-based platform that provides on-demand access to high-performance GPUs, eliminating the need for physical hardware. It enables businesses to run AI training, machine learning, and deep learning tasks without upfront costs or infrastructure management. NovaGPU offers flexible, cost-effective GPU instances that can be scaled to meet project demands. Simply sign up, select a plan, and start leveraging powerful GPUs instantly for your AI workloads.

GPU as a Service (GPUaaS) allows users to rent GPU instances on-demand through cloud providers like IP ServerOne. Once subscribed, users can easily spin up instances, scale resources, and pay only for what they use. This model eliminates the need for physical infrastructure, offering flexibility, performance, and accessibility for AI/ML workloads, data analytics, and simulations. With NovaGPU, you can select from various GPU models, the number of GPU cards, storage sizes, and more—all through a secure, managed platform, enabling you to focus on your AI projects.

Both Cloud GPUs and GPU as a Service (GPUaaS) provide access to GPU resources, but the key difference is how they are managed and accessed:

  • Cloud GPU: Refers to a GPU hosted in the cloud, but it often requires manual management, configuration, and scaling, which can add complexity.
  • GPUaaS: A fully managed service where the cloud provider handles infrastructure and maintenance, offering users a more flexible and streamlined experience. With NovaGPU, you get on-demand scaling, easy GPU instance management, and 24/7 support, specifically designed for AI and ML enthusiasts who prefer to focus on their projects without the hassle of managing infrastructure.

Both GPUaaS and dedicated bare metal GPUs offer powerful computing resources, but they differ in flexibility, cost, and management:

  • GPUaaS: Provides on-demand, scalable GPU access with no long-term commitment, making it ideal for projects with fluctuating GPU needs. It offers lower costs and comes with managed services for hassle-free operation.
  • Dedicated Bare Metal GPU: Offers exclusive access to a physical GPU on a dedicated server, delivering maximum performance for consistent workloads. However, it often comes with higher costs, limited scalability, and more management overhead.

With NovaGPU, you enjoy the flexibility of GPUaaS—high-performance GPUs on demand with no management burden.

GPU as a Service (GPUaaS) is the ideal solution for AI, large language models (LLMs), and deep learning due to the high computational power these tasks require. Unlike traditional CPUs, GPUs are built to handle complex algorithms and process large datasets in parallel, significantly speeding up tasks like model training, fine-tuning, and inference.

NovaGPU provides on-demand, high-performance GPUs, ranging from mid-tier options like the RTX 3090 Ti and RTX 4090 to top-tier models like the RTX 6000 Ada and NVIDIA H200 NVL. Key benefits include:

  • Scalable GPU Resources: Easily spin up and scale your GPU instances as needed, supporting both short-term and long-term AI workloads.
  • Flexible Pricing: Choose between pay-per-hour or subscription-based models, allowing you to pay only for what you use or secure long-term cost savings with a subscription—ideal for sustaining prolonged AI projects without breaking the bank.
  • Optimized for AI: Perfect for training, fine-tuning, and running small-to-mid-sized AI models, including inference, helping you get the most from your AI initiatives.
  • Fully Managed: No need to manage infrastructure—IP ServerOne handles everything, freeing up your resources to focus on innovation.
  • Local Cloud Hosting: Hosted in a secure local cloud environment, ensuring data sovereignty compliance, which is crucial for businesses with strict data privacy requirements.
  • Maximized ROI: With flexible pricing, scalability, and high-performance GPUs, NovaGPU ensures that your investment in AI technologies remains cost-effective, delivering strong ROI even for long-term projects.

NovaGPU is ideal for tasks requiring moderate computational power, particularly for AI, machine learning (ML), and deep learning applications. Key use cases include:

  • AI Model Training & Fine-Tuning: Ideal for training and fine-tuning small-to-mid-sized AI models, NovaGPU helps accelerate processing without the need for expensive hardware.
  • AI Inference: Run inference tasks on trained models efficiently, making real-time predictions or classifications for a wide range of applications.
  • Data Processing & Analytics: Handle medium-scale data processing tasks and analytics with NovaGPU, providing faster results for your AI-driven projects.
  • Small to Mid-Sized Simulations: Run computationally intensive simulations, such as those used in research or product development, at a fraction of the cost of more powerful alternatives.

With NovaGPU, you get an on-demand, cost-effective, and secure GPU solution tailored to support your small-to-mid-sized AI and ML projects, maximizing performance without overcommitting resources.

Yes, NovaGPU is specifically designed to support machine learning (ML) and AI projects. With its on-demand, scalable GPU instances, NovaGPU provides the computational power needed for tasks like training, fine-tuning, and inference of AI models. Whether you are working on small-to-mid-sized AI models or data processing, NovaGPU delivers high performance at an affordable cost. It’s a perfect fit for developers, researchers, and businesses looking to accelerate their AI and ML workflows without investing in expensive infrastructure.

Choosing the right GPU instance for your workload on NovaGPU depends on your project’s size, complexity, and budget. At IP ServerOne, we offer a variety of GPUs tailored for different AI/ML applications. Here’s a guide to help you select the ideal GPU:

  • RTX 3090 Ti: A budget-friendly option for smaller AI projects like image recognition and basic models. Ideal for beginners or small teams starting out in AI.
  • RTX 4090: A powerful and efficient choice for handling larger models and datasets. Great for solo developers or growing projects needing strong computing power.
  • RTX 6000 Ada: A professional-grade GPU with extra memory and stability, perfect for businesses and professionals running advanced AI applications.
  • H200 NVL: The top-tier GPU for large-scale AI research, enterprise-level projects, and demanding workloads, providing unmatched processing power for high-end AI development.

Security is a top priority for NovaGPU. We implement multiple layers of protection to ensure the safety and confidentiality of your data and workloads. Key security features include:

  • End-to-End Encryption: All data is encrypted during transmission and storage to ensure secure handling.
  • ISO & Compliance Standards: NovaGPU is hosted in an environment compliant with ISO 27001, ISO 27017, PCI-DSS, and SOC 2 Type II standards, ensuring adherence to industry security protocols.
  • Data Redundancy: Your data is replicated across multiple data centers in Malaysia, enhancing reliability and minimizing the risk of data loss.
  • Snapshot Backups: Automatic hourly, daily, and weekly snapshot backups safeguard your data from unexpected loss.
  • DDoS Protection: Built-in DDoS protection protects your resources from external attacks, ensuring continuous operation.
  • High Availability Architecture: NovaGPU is hosted on a high-availability, spine-leaf architecture, providing fault tolerance and near-zero downtime.
  • User-Controlled Security: You can configure your own security rules to meet your specific requirements and safeguard your data.
  • Data Sovereignty: Hosted locally in Malaysia, NovaGPU fully complies with data sovereignty regulations.

With NovaGPU, your sensitive AI projects are securely managed within a robust and reliable cloud environment.

Power Your Projects with IP ServerOne's NovaGPU—Reach Out Today!

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