Choose from the latest NVIDIA models like the A100, A4000, A5000, and H100 PCIe, designed to handle the most complex computational tasks with ease.
With up to 80GB of VRAM and over 16,000 CUDA cores, our servers deliver unmatched performance for AI, simulation, and rendering.
Our servers are fully customizable and scalable, designed to meet the growing demands of your projects.
Partnered with leading suppliers and built with enterprise-grade hardware.
Save up to 80% compared to other cloud providers.
Choose from monthly, quarterly, and yearly subscription plans.
Leapswitch Networks is suitable for a wide range of industries, including:
Accelerate your model training, reduce time-to-market, and boost model performance with high-end GPUs.
Perform massive data analysis and simulations with the computational power of our GPUs.
Render complex 3D models, architectural designs, and animations faster with GPUs that are designed for high-quality graphics rendering.
Process large amounts of sensor data in real-time to improve the accuracy and safety of autonomous vehicle systems.
Our servers are powered by industry-leading NVIDIA GPUs like the A100, A5000, and H100 PCIe. Whether you're conducting machine learning research, 3D rendering, or AI model training, expect exceptional performance and efficiency.
Our GPU servers are optimized for AI, deep learning, and machine learning tasks. With powerful hardware and seamless integration with popular frameworks like TensorFlow, PyTorch, and CUDA, you can accelerate model training, reduce time-to-market, and enhance the quality of your projects.
Whether you're running a single project or need a full-stack, enterprise-level solution, our GPU servers can scale with your needs. Add more GPUs, increase memory capacity, or modify configurations at any time.
Get started quickly with rapid deployment of your cloud GPU servers, typically up and running within 24 to 48 hours after configuration.
Pricing
Fully-integrated clusters optimized for the most challenging AI workloads.
| GPU Model | Architecture | CUDA Cores | VRAM | Memory Type | TDP | Key Use Cases | Monthly Pricing |
|---|---|---|---|---|---|---|---|
| A1000 | Ampere | 2,560 | 8 | GDDR6 | 150W | Entry-level AI, Machine Learning, Rendering | ₹3,500.00 |
| A4000 | Ampere | 6,144 | 16 | GDDR6 | 140W | Professional Graphics, CAD, VR, AI | ₹8,000.00 |
| L4 | Ada Lovelace | 3,840 | 24 | GDDR6 | 110W | AI Inference, Edge, Cloud, Virtualization | ₹20,700.00 |
| A5000 | Ampere | 8,192 | 24 | GDDR6 | 230W | AI Training, Professional Workflows, Rendering | ₹14,400.00 |
| A6000 ADA | Ada Lovelace | 18,176 | 48 | GDDR6X | 300W | High-end AI, Data Science, Rendering | ₹60,150.00 |
| A6000 | Ampere | 10,752 | 48 | GDDR6 | 300W | High-end AI, 3D Rendering, Simulation | ₹34,400.00 |
| A40 | Ampere | 7,680 | 48 | GDDR6 | 300W | AI Training, Data Center, Rendering | ₹36,400.00 |
| L40S | Ada Lovelace | 8,192 | 48 | GDDR6X | 300W | AI, Deep Learning, Cloud Workloads | ₹64,400.00 |
| H100 PCIe | Hopper | 14,592 | 80 | HBM2e | 700W | Advanced AI, Machine Learning, HPC | ₹274,000.00 |
| A100 (80GB) | Ampere | 6,912 | 80 | HBM2 | 400W | AI Training, HPC, Deep Learning | ₹156,000.00 |
| H200 | Hopper | 16,896 | 141 | HBM3 | 800W | Cutting-edge AI, Data Science, Research | ₹257,050.00 |
Jupyter, TensorFlow, Keras, CUDA, 30GB size Requires 40GB+ disk
Jupyter, PyTorch, CUDA, 30GB size Requires 40GB+ disk
Jupyter, RAPIDS, TensorFlow, PyTorch, Keras, fastai, CUDA, 53GB size Requires 60GB+ disk
NVIDIA drivers preinstalled, 5GB size Requires 20GB+ disk
NVIDIA drivers preinstalled, 5GB size Requires 20GB+ disk
NVIDIA drivers preinstalled, 30GB size Requires 90GB+ disk
AI Software Installed
Kickstart your AI training instantly with our seamless, pre-configured setup! Enjoy shared storage and networking designed for deep learning. Just pick your GPU and CPU nodes, and you're ready to go.
With Leapswitch Networks, gain access to top-tier support for your cloud clusters, featuring PyTorch, TensorFlow, CUDA, Keras, and Jupyter. Increase speed and performance of your AI models with Leapswitch Networks!
FAQs
GPU servers provide the parallel processing power needed for fast AI training and inference. They are specifically designed to handle large datasets and complex algorithms, reducing the time required for model training and improving the efficiency of deep learning projects.
GPU servers enable faster data processing and more efficient model training, which allows data scientists to analyze large datasets quickly and run complex simulations, leading to faster insights and improved research results.
Yes! Our GPU servers are highly customizable to meet your specific needs. You can choose the number of GPUs, amount of memory, and processing power required for your projects.
Absolutely! Our GPU servers are equipped with powerful GPUs like the A5000 and A6000, which are specifically designed for 3D rendering tasks, providing fast and efficient rendering for professionals in industries like animation, architecture, and film.
Yes, we offer multi-GPU server configurations, allowing you to harness the power of multiple GPUs in a single machine, perfect for scaling up deep learning projects or high-performance rendering tasks.
Deployment times can vary depending on your chosen configuration, but we typically offer fast deployment with most GPU servers being up and running within 24 to 48 hours after confirmation.
Yes, our GPU servers are designed with scalability in mind. You can upgrade your GPUs, increase memory, or expand storage as your project grows, ensuring that your infrastructure keeps up with evolving demands.
Yes, we take security seriously. Our GPU servers come with enterprise-level security features, including data encryption, firewalls, and multi-factor authentication to ensure your data is protected at all times.