Thinking About Launching Your First AI Project? NovaGPU Makes it Affordable and Scalable for SMEs
If you’re considering launching your first AI project but feel concerned about the high costs of dedicated GPU hardware, you’re not alone. Many small and medium enterprises (SMEs) face challenges in investing in high-end GPUs, often amounting to tens of thousands of ringgit—especially when the return on investment (ROI) can take years.
Enter NovaGPU, a GPU as a Service (GPUaaS) solution from IP ServerOne that helps SMEs overcome these challenges. Hosted locally in Malaysia, NovaGPU offers on-demand access to powerful NVIDIA GPUs without the financial burden and technical hassle of owning and managing physical hardware. Whether you’re experimenting with machine learning, fine-tuning a large language model (LLM), or running generative AI workloads, NovaGPU allows you to scale efficiently, stay compliant, and innovate faster.
What is GPU as a Service (GPUaaS)?
GPU as a Service (GPUaaS) is an innovative cloud-based solution that lets businesses access high-performance GPUs on-demand. You no longer need to invest in expensive hardware or worry about maintenance. With GPUaaS, you simply pay for what you use, making it an ideal choice for businesses testing which GPU model works best for their AI workloads. It’s also an excellent option for scaling AI initiatives on-demand.
Key Benefits of GPUaaS:
- Flexible Scaling: Adjust GPU power up or down based on project needs without worrying about hardware upgrades.
- Lower Costs: Avoid hefty upfront costs and ongoing maintenance fees. GPUaaS is available on a pay-as-you-go or subscription basis.
- Zero Tech Hassles: The provider (like IP ServerOne) handles setup, maintenance, and monitoring, so your team can focus on AI development.
For SMEs in Malaysia, GPUaaS provides a faster, more affordable path to AI adoption, minimizing risks while accelerating time-to-market. With NovaGPU, you don’t need deep IT expertise—just dive into your AI project and start building.
How Does GPUaaS Compare to Cloud GPUs and Bare Metal?
Wondering whether GPUaaS, traditional cloud GPUs, or bare metal servers are right for your business? Here’s a breakdown of each option:
| Option | What It Is | Best For | Example |
| GPUaaS | Fully managed, cloud-hosted GPUs with flexible pricing. Local hosting in Malaysia. | SMEs, startups, projects needing cost-efficiency and local data compliance. | NovaGPU – H200 NVL (RM19.13/hour), RTX 3090 (RM1.96/hour) |
| Cloud GPU | Virtual GPUs by global providers, usually requiring more configuration. | Global deployments, users with existing cloud infrastructure. | AWS EC2 GPU instances, Microsoft Azure NV-series |
| Bare Metal GPU | Dedicated physical GPU servers you own or lease for maximum performance. | Large-scale AI or HPC workloads requiring full control. | Custom NVIDIA DGX or on-premise GPU clusters |
💡 Tip: For SMEs just starting out with AI or looking for a fast, scalable solution, GPUaaS like NovaGPU is the most flexible and cost-effective option.
What is NovaGPU?
NovaGPU is a fully managed GPUaaS platform designed for AI, machine learning (ML), deep learning, and high-performance computing (HPC) workloads. Powered by mid to top-tier NVIDIA GPUs, it’s the perfect solution for businesses looking to adopt AI technology without the financial and technical challenges of owning dedicated GPUs.
GPU Models Available:
- NVIDIA GeForce RTX 3090
- NVIDIA GeForce RTX 4090 (24GB VRAM)
- NVIDIA GeForce RTX 4090 (48GB VRAM)
- NVIDIA H200 NVL
Instead of owning hardware, businesses can rent GPUs on an as-needed basis—whether for hours, days, or longer. It’s ideal for startups, SMEs, and research teams aiming to lower costs while maintaining agility in AI development.
Who Should Use NovaGPU?
NovaGPU is designed for anyone interested in AI but doesn’t want the hassle of managing expensive GPU infrastructure. Here’s who will benefit most from NovaGPU:
- Startups & SMEs: Ideal for businesses starting their AI journey without high upfront costs.
- AI Developers & ML Engineers: Perfect for training, fine-tuning, or deploying large language models (LLMs) or deep learning frameworks.
- Researchers & Academia: Great for data scientists and researchers who need access to powerful GPUs for simulations, modeling, and training workloads.
- Creatives & Content Professionals: Ideal for generative AI, 3D rendering, and video editing projects that need GPU acceleration for faster outputs.
- Enterprises with Bursty AI Workloads: If your business has irregular but intensive AI tasks, NovaGPU’s pay-per-use model ensures you only pay for what you need, when you need it.
Why NovaGPU is a Game-Changer for SMEs?
NovaGPU empowers SMEs in Malaysia to adopt AI technology confidently, without overwhelming financial commitments. Here’s why it’s the smart choice:
- Cost-Efficient: Starting at just RM1.96 per GPU/hour, you can save up to 70% compared to owning physical GPUs.
- Scalable: Instantly adjust GPU resources based on your project’s needs—whether you’re training models or running real-time inference.
- Faster AI Deployment: Skip hardware delays and access a platform optimized for AI/ML workloads.
- No Maintenance Hassles: IP ServerOne manages backend infrastructure, so you can focus on innovation, not hardware management.
- Expert Support: 24/7 assistance from a local team who understands your business environment.
- Enterprise-Grade Hosting: Hosted in Tier III Malaysian data centers and compliant with ISO 27001, ISO 27017, and SOC 2 Type II standards.
- Automated Backup & Protection: Data is safeguarded with hourly, daily, and weekly snapshots to ensure fast rollback if necessary.
- Data Compliance: Your data stays on Malaysian soil, meeting local data sovereignty regulations with ease.
What Can You Do with NovaGPU?
NovaGPU offers powerful computing capabilities for a wide range of AI and HPC tasks. Here’s how businesses can leverage NovaGPU:
- Train AI Models: Build and fine-tune large language models (LLMs) and other deep learning frameworks.
- Real-Time Inference: Run AI-driven applications like chatbots, recommendation engines, and fraud detection systems.
- Creative AI: Generate text, images, audio, and video using generative AI.
- Scientific Computing & Research: Perform simulations for industries like physics, climate science, and bioinformatics.
- High-Performance Computing (HPC): Handle big data analysis, engineering simulations, and resource-intensive workloads.
- Data-Driven Applications: Process large datasets for industries like finance, healthcare, and biotech.
Real-World Example:
A Malaysian accounting software company used NovaGPU’s RTX 4090 to develop an AI-driven invoice text recognition system. The AI now automatically extracts text from invoices, boosting productivity by over 30%.
How to Get Started with NovaGPU?
Getting started with NovaGPU is simple and fast. Here’s how:
- Visit the Portal: Go to the NovaGPU platform by IP ServerOne.
- Top Up Cloud Credits: Add credits based on your budget.
- Choose Your GPU: Select from options like RTX 3090, RTX 4090, or H200 NVL based on your AI needs.
- Configure Your Instance:
- Set storage size (minimum 30GB).
- Choose your preferred operating system (Ubuntu, Debian, etc.).
- Import or generate an SSH key pair for secure access.
- Define your security rules (firewall settings, open ports).
- Set storage size (minimum 30GB).
- Launch Your Instance: Your NovaGPU instance is now live and ready to go.
- Start Building: Begin training models, processing data, or running inference workloads. (Tip: Install necessary drivers, update OS, and download containers or LLMs as needed.)
- Scale When Needed: Adjust resources based on your project’s evolving needs.
Choose the Right NovaGPU Plan for Your AI Projects
Choosing the right GPU plan depends on your model size and the complexity of your tasks. Here are our recommended configurations to help you select the best NovaGPU setup for your specific AI use case:
| GPU Models | RTX 3090 | RTX 4090 | H200 NVL |
| GPU Memory (VRAM) | 24GB GDDR6X | 24GB GDDR6X 48GB GDDR6X | 141GB HBM3e |
| AI Use Case | Small-scale AI training/inference (e.g., 7B LLMs) | Medium-scale AI training/inference (e.g., 13B–22B LLMs) | Massive-scale AI training/inference (e.g., 100B+ LLMs) |
| LLM Models | Llama 3.2 1B/3B, Qwen2.5 1.5B, DeepSeek-R1-Distill-Qwen-1.5B (1.5B parameters) | Qwen2.5 14B, DeepSeek-R1-Distill-Llama-8B (8B parameters), QwQ-32B (32B parameters) | DeepSeek-R1 (671B parameters), Llama 3.1 405B, Qwen3-235B-A22B (235B parameters) |
| Best For | Lightweight experimentation, small-scale chatbots, and on-device AI applications | Mid-sized AI projects, multi-turn dialogues, and moderate-scale model fine-tuning | Enterprise-grade AI training, large-scale research, and production deployment of massive LLMs |
🧩 Pro Tip: If you’re experimenting or fine-tuning smaller models, start with pay-per-use to minimize costs. For large-scale, production-level tasks, opt for a subscription plan to ensure savings and consistent performance.
Why NovaGPU is Perfect for Malaysia’s AI-Driven Future
NovaGPU is transforming Malaysia’s AI ecosystem by offering high-performance computing that’s accessible, affordable, and compliant with local regulations. NovaGPU enables:
- SMEs and Startups to build AI-driven applications without high upfront investments.
- Researchers and Data Scientists rely on scalable, on-demand GPU power.
- AI Developers to work on LLMs, generative AI, and real-time inference models.
Whether you’re experimenting with AI models or scaling production workloads, NovaGPU offers local support, flexible pricing, and world-class infrastructure to support your ambitions.
Start building smarter, faster, and more securely—with NovaGPU by IP ServerOne.
Call to Action:
Ready to power your AI vision? Explore NovaGPU Plans and take the first step towards your AI journey today!
