WaveCom GPU Cloud
Innovation in the AI Landscape - Estonia's first GPU cloud service and the world's first fully automated vGPU-supported VMware Tanzu Kubernetes
AI is here to stay. To continue supporting the rapid development of artificial intelligence platforms, VMware, in collaboration with Nvidia, has introduced cloud solutions based on vGPUs - Nvidia GPU GRID and AI Enterprise.
Virtual GPU Tailored to Your Needs!
WaveCom has introduced in Estonia the latest cloud platform solution from VMware - VMware GPU Cloud, providing additional value to companies looking for fast computing power to elevate AI algorithms, data science, or 3D visualization to a new level. WaveCom's solution allows you to rent virtual GPUs, providing up to 50% (and more) cost savings compared to dedicated GPUs. However, Nvidia and VMware's technological solution does not compromise on performance, ensuring 100% guaranteed utilization of the shared GPU part. The options include dedicated or multiple GPUs, common in global cloud platforms, but with approximately 25% lower pricing.
GPU Accelerator for Your AI, Data Science, and 3D Projects!
VMware and Nvidia GRID / AI Enterprise vGPU enable GPU-accelerated computing power for any workload, from virtual desktop (VDI) computing power to the most demanding workloads, such as artificial intelligence models/algorithms, data science, and high-performance computing. The exceptional computing power associated with the solution allows training AI models in a matter of hours instead of weeks. Additionally, vGPU delivers outstanding results in improving existing graphics performance, providing flexibility and cost-effectiveness of virtualization, while accelerating GPU graphics solutions, resource isolation, and compatibility. The solution operates on a "Pay as you go" principle - you pay for resources only when they are actually in use, on a monthly or hourly basis.
Nvidia vGPU GRID and AI Enterprise - Future Technology Today!
NVIDIA GRID is a technology that enables the virtualization of graphics processing units (GPUs) to provide accelerated graphics and computing power for virtual desktops and applications. The Nvidia GRID solution offers three main use cases:
vWS - Virtual Workstation: NVIDIA vWS supports applications requiring AI, deep learning, and high computing power, including TensorFlow, Mxnet, Dkube, and Dask Parallel Computing solutions. It is also targeted at systems dealing with graphics-intensive tasks. By combining existing applications with powerful NVIDIA GPU, users can virtualize applications with enhanced performance (such as 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 use.
vPC - Virtual PC: NVIDIA vPC is designed for professionals using virtual desktops and applications, optimizing them for multimedia and HD video.
Nvidia AI Enterprise offers the same as GRID but adds an Application Marketplace with pre-packaged and Nvidia-optimized virtual machines and Kubernetes applications. Nvidia AI Enterprise also offers pre-trained AI models packaged with necessary frameworks, such as NVIDIA NeMo (for running AI language models), NVIDIA TensorRT LLM, NVIDIA Riva (automatic speech recognition), and interactive TensorFlow Jupyter notebooks.
Kubernetes GPU Cluster in Minutes - Simple, Scalable, and User-Friendly!
In today's world, AI solutions based on dynamic Kubernetes microarchitecture are becoming increasingly popular. In the traditional usage model, using Kubernetes and GPU cloud services requires renting GPU-enabled virtual machines to independently create Kubernetes clusters. However, this approach is time-consuming and requires in-depth knowledge, as creating the entire environment has traditionally required using a complex installation mechanism and integrating all the necessary components.
WaveCom has added GPU support to its existing fully automated orchestration platform for VMware Tanzu Kubernetes. What sets WaveCom's service apart from other solutions on the market is the vGPU and VMware Tanzu integration, allowing for automatic provisioning, scaling, and ongoing lifecycle management of the underlying platform. This works regardless of the scale of services. WaveCom has created the world's first and unique solution, where data and AI specialists can get a VMware Tanzu Kubernetes GPU-supported cluster in 20 minutes and then start using their applications. WaveCom's solution skips the entire complex and time-consuming Kubernetes installation process. The VMware Tanzu Kubernetes platform adapts precisely to your needs, making AI/ML projects more efficient and automatically scalable. WaveCom's GPU-supported server prices start at less than a hundred euros, while Kubernetes cluster prices start at a couple of hundred euros. In summary, WaveCom offers simplified and fully automated GPU computing power for all scenarios, with reasonable pricing and minimal time consumption.
Start for free - demo environment and consultations with our experts are immediately available!
If you have or develop an interest in Nvidia AI Enterprise vGPU solutions in the VMware Tanzu Kubernetes ecosystem or virtual machines, we are happy to consult with you. At WaveCom, we have world-class expertise in deploying and configuring Tanzu Kubernetes K8s clusters with Nvidia GPUs, making us one of the first in the world to do so. We offer in-depth testing of the Nvidia GPU solution in our test environment for free for up to 3 months.
