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VMware & Nvidia GPU Cloud
GPU computing power no longer has to mean investing in expensive physical servers. In the WaveCom cloud, NVIDIA GPU resources can be used in exactly the capacity required by a specific workload. NVIDIA vGPU resources are immediately available in our cloud for artificial intelligence, machine learning, 3D modelling, data science, and other applications that benefit from GPU acceleration. Instead of purchasing a physical GPU, customers can use a virtual GPU, or vGPU, and select the amount of resources that best suits their needs. We offer GPU capacity in 25%, 50%, and 100% allocations, allowing customers to start with a smaller and more cost-effective configuration and increase resources as requirements grow. With our solution, the allocated share of GPU resources is guaranteed, meaning that the GPU performance assigned to a virtual machine is not affected by the workloads of other customers. For applications requiring greater performance, we can also assign two full NVIDIA vGPUs to a single virtual machine. This makes it possible to benefit from professional GPU acceleration without investing in expensive and often underutilised physical GPU infrastructure.
Key benefits:
- Flexible GPU resource allocation and scaling
- Lower upfront investment in hardware
- Better GPU utilisation and cost efficiency
- Faster deployment of new AI, ML, and GPU-based projects
- Reduced need for specialised GPU infrastructure management expertise
- More predictable IT costs
- GPU resources available for both virtual machines and Kubernetes-based environments
- Significantly faster development process
There is no reason to leave a good idea untested — you can start with a small amount of GPU capacity and scale the resources as your project grows.
NVIDIA GRID vGPU enables GPU-accelerated computing power for every workload, ranging from Virtual Desktop Infrastructure (VDI) performance to the most demanding workloads such as artificial intelligence models/algorithms, data science, and high-performance computing. The NVIDIA vGPU GRID solution has three main use cases:
vWS - Virtual Workstation: NVIDIA vWS supports AI, deep learning, and applications requiring significant computational power, including TensorFlow, Mxnet, Dkube, and Dask Parallel Computing solutions. It is also aimed at systems dealing with graphics-intensive tasks. By combining existing applications with a powerful NVIDIA GPU, users can virtualize applications with enhanced performance (e.g., SolidWorks, Autodesk, etc., 3D graphics/visualization applications).
vApps - Virtual Applications: NVIDIA vApps are designed for professionals using virtual applications such as VMware Horizon, Citrix Virtual Apps, or RDSH, and are optimized for terminal server usage.
vPC - Virtual PC: NVIDIA vPC is designed for professionals using virtual desktops and applications, optimizing them for multimedia and HD video.
Modern AI and machine learning solutions are increasingly built around containers and Kubernetes. The NVIDIA GPU Operator simplifies the deployment and management of NVIDIA GPU resources in Kubernetes clusters and also supports virtual machines based on NVIDIA vGPU technology. This makes it possible to build flexible GPU-accelerated Kubernetes environments where workloads can be dynamically scheduled and scaled according to demand.
WaveCom has extensive practical experience in deploying NVIDIA vGPU solutions in VMware environments, configuring GPU-enabled virtual machines, and integrating NVIDIA GPU resources into Kubernetes clusters.
If you would like to evaluate which GPU configuration is best suited for your AI, machine learning, data processing, or graphics workload, we can help you select the appropriate architecture and resource capacity.
Cloud Enterprise GPU pricing
Popular Cloud Enterprise GPU
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| Host server | HPE DL360 Gen12 | HPE DL360 Gen12 | |||||||||||||||
| CPU model | Intel® Xeon® 6527P @ 3.00-4.2 GHz | Intel® Xeon® 6527P @ 3.00-4.2 GHz | |||||||||||||||
| vCPU core | 8€ | Partner discount 10-20% | |||||||||||||||
| vRAM GB | 6€ | Partner discount 10-20% | |||||||||||||||
| NVMe 1GB | 0.18€ | Partner discount 10-20% | |||||||||||||||
| Encrypted NVME storage 1GB | 0.23€ | Partner discount 10-20% | |||||||||||||||
GPU extras
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Cloud Availability DRaaS
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