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Looking for the best NVIDIA GPU Cloud hosting? You’ve landed in the right spot. Check out our customizable NVIDIA Cloud GPU price & plans, perfect for heavy workloads and graphic heavy applications.
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Cantech’s superior NVIDIA Cloud GPU hosting solutions offer maximum performance and rock solid stability even for tough workloads.
Take advantage of workstation grade NVIDIA GPUs like A100, H100, A5000 and L40s that offer amazing parallel computing performance, ideal for professional rendering, virtualization & deep learning.
NVIDIA GPUs like A100 and H100 feature tensor cores that speed up neural network training and inference by mixed precision compute, which offers 4x faster training speeds for LLM.
Multiple GPUs that align with scalable configurations can be run using technologies like MIG, NVlink, PCIe Gen4/5. NVIDIA A100 supports MIG and H100 offers improved scaling for cluster level training.
Our servers are pre-configured to work with frameworks like PyTorch and TensorFlow. GPU models like L40s & A5000 offer out-of-the-box performance for inference tasks and media workloads.
Enjoy AI services and multi-tenant environments support via Cloud GPU passthrough and virtualizations. Both NVIDIA A100 and L40s are effective for VDI and containerized AI workloads.
NVIDIA GPUs like L40’s and A100 are designed to give you optimum power usage and heat management which help you lower power usage without disrupting your workload speed.
Our NVIDIA GPU lineup comes with ECC memory to ensure high data integrity, which are critical for error sensitive applications.
Choose from 1U GPU servers or multi node Cloud GPU solutions. Our GPU server plans are designed to cater multiple GPU intensive workloads.
Need rapid access to datasets? NVIDIA Cloud GPU offers you high bandwidth memory transfer that allows smooth dataset movement and efficient data processing.
Our round the clock expert support team is always available to assist you with GPU stack and resolve issues promptly. So, your projects can run without interruption.
We offer the best GPU server profiles, so you can choose the ideal combination of GPU, CPU & Memory.
Our NVIDIA GPU Cloud offerings have a 99.97% uptime SLA, which ensures business continuity even for mission critical apps.
Experience real time monitoring which anticipates and fixes any issues before they impact your workload efficiency or speed.
All NVIDIA gpu cloud servers come with enterprise grade security, robust compliance measures and advanced encryption to safeguard your compute intensive workloads.
Our NVIDIA GPU Cloud server is hosted in state-of-the-art Tier 4 centres, to offer you world-class security, reliability and scalability.
Cantech offers best NVIDIA Cloud GPU hosting, which is backed by high performance, quick deployment, 24/7 support, reliable local infrastructure & price that fits your modern business projects needs.
Choose from cutting-edge GPU models like A5000 for high end visualization, A100 for versatile HPC and AI workloads, and L40’s for real time rendering.
Our GPU Cloud servers run from Tier-3 and Tier-4 facilities within India, which lowers latency for real-time AI applications, graphic tasks and remote teams across the country.
Each Cloud GPU instance has ultra high-speed internet which enables effortless model training, quick uploads of data and smooth processing of heavy workloads.
Get your GPU hosting running in just a couple of hours. We handle everything end-to-end so you can get started with your projects instantly.
Access powerful NVIDIA Cloud GPUs at affordable costs. Our GPU hosting plans are carefully designed to cater the needs of startups, business and fast growing teams.
Deploy frameworks such as Tensorflow or PyTorch hassle free on NVIDIA Cloud GPUs with pre-configured frameworks and drivers which eliminates setup time for you.
Our servers use enterprise grade GPU’s which are designed for consistency, ECC memory support, high uptime, and reliability.
Tackle diverse work easily. Our flexible NVIDIA Cloud GPU hosting plans support a wide spectrum of GPU workloads.
Begin with entry level GPUs and scale as per your needs. You can expand memory, storage and GPU count anytime without disrupting your existing environment.
Our NVIDIA Cloud GPU is powered by high performance and latest advanced technology. These advanced graphic units offer exceptional stability and maximum security, ideal for your modern applications.
Harness 4th gen tensor core acceleration and high bandwidth memory to process AI models, simulations and data heavy operations with lightning fast parallel processing.
Dedicated tensor cores enhance training and inference speed automatically, which offers faster throughput for large models and faster inference for AI.
Enterprise rated NVIDIA cloud GPUs support hardware accelerated real-time ray tracing and visualisation features which facilitate 3D Design, rendering and visual workflows.
Each NVIDIA cloud GPU improves performance per watt metrics which minimizes data centre operating costs while maintaining high compute power.
Standard PCIe form factors and certified server hardware allows smooth integration into current IT infrastructure which enables fast and reliable deployment.
With virtual cloud GPU support and high speed network, these NVIDIA cloud GPU servers allow secure remote collaboration and workstation level performance in any part of the country.
Enjoy Built-in top notch secure computing, hardware encryption, and virtualization which offers data protection both in transit and during compute.
We have collaborated with leading data center service providers in India to deliver highly secure and stable infrastructure. Start your rapidly growing web projects with our ultra-scalable, robust power, high-speed bandwidth, redundant network and world-class data centers.
From research to rendering, our NVIDIA Cloud with gpu manages your tough workloads. Sit back and enjoy accelerated computing for everything from analytics to development.
NVIDIA GPUs significantly speed up neural network training, from days to hours by streamlining efforts in conversational AI and computer vision.
Built-in tensor cores offer mixed precision matrix operations by improving training throughput and lower compute time for AI workloads like NLP, vision and inference.
GPU acceleration offers end to end data science pipelines much faster which minimizes infrastructure costs.
NVIDIA’s latest technology can accelerate graphic intensive applications and VR experiences and real time rendering for professionals.
GPU acceleration enables researchers to deploy deep neural networks that can analyze X-Rays, MRI images, CT scans much faster.
High speed NVIDIA cloud GPU powers real time image, sensor data processing for cars, self-driving drones, robotics systems and quick decision making.
With CUDA, NVIDIA cloud GPUs excel at managing simulations, modeling tasks, complex equations for research in subjects like physics, engineering and chemistry outperforming math bound operations.
Supports shared compute environments by running multiple virtual desktops simultaneously for efficient workflows.
Supports responsive, graphics heavy development and streaming with low latency for smooth performance. Perfect for developers and gamers.
Enables high speed video transcoding and rendering across different formats and resolutions by eliminating issues which ensures undisrupted production pipelines.
AI-driven log analytics helps in threat detection, real time monitoring to find unusual activity and prevent security risks.
Parallel GPU computing improves real time risk modelling, simulations which are critical for financial workloads and delivers insights and data driven decision making.
Explore a wide range of high-performance GPU servers tailored for AI, deep learning, gaming, rendering, and more. From NVIDIA A100 to RTX A5000, choose the ideal GPU to match your specific workload.
Unlock the power of dedicated GPU servers designed to tackle intensive tasks like AI processing, scientific computing, 3D rendering, and real-time data analysis. Experience the perfect blend of speed, flexibility, and efficiency.
Our customer stories explain why we are rated highly on all platforms that we operate, and we are the best.
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If this is your first order with this Cantech Sales team, your order may take slightly longer due to the KYC customer verification.
Cloud based dedicated servers which are powered by NVIDIA GPUs (A100, H100, L40s, A5000) are designed for high performance workloads like AI training, HPC, inference and graphics. By utilizing the cloud you can access GPU power on demand without heavy investment in physical hardware which enables faster innovation and cost effective scaling.
Yes. Cloud GPU instances can be resized to higher tier GPU based on your workload requirements. This involves stopping the current instance and selecting a more powerful configuration and rebooting it.
Yes. Many cloud services providers support NVIDIA Virtual GPU (vGPU) technology. This includes physical GPUs to be shared across various virtual machines that deliver scalable isolated GPU performance to each VM. Besides this, you have the option to bring the NVIDIA vGPU license which allows flexibility to configuring multi user environments.
NVIDIA Cloud servers allocate GPUs through virtualizations which are managed by hypervisors and job schedulers which ensures scaling and flexible provisioning. This setup offers efficient sharing of GPUs among tasks, scaling and supports dynamic allocation based on your workload.
NVIDIA introduced NVLink fusion is a next generation interconnected technology that allows third party CPUs integrated with NVIDIA GPUs. This advanced architecture enables high bandwidth, low-latency communication between CPUs and GPUs which offers better performance for your data heavy applications.
NVIDIA Cloud GPU is compatible with Windows, Linux and custom OS images. This gives you flexibility to deploy pre-configured environments designed to your specific needs.
NVIDIA GPU outperforms traditional CPUs for parallel tasks like neural network training which offers upto 10x faster results in AI workloads. GPUs are designed with thousands of cores that process many operations simultaneously, which makes them ideal for workloads that involve AI inference, graphics rendering, or computations.
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