NVIDIA virtual GPU (vGPU) technology uses the power of NVIDIA GPUs and NVIDIA virtual GPU software products to accelerate every virtual workflow—from AI to Computer Vision. By making GPU performance possible for every virtual machine (VM), vGPU technology enables users to work more efficiently and productively.
Accelerate Every Workload with NVIDIA vGPUs
NVIDIA vGPU brings the full benefit of NVIDIA hardware-accelerated graphics to virtualized solutions. This technology provides exceptional graphics performance for virtual machines when sharing a GPU among multiple users
NVIDIA Quadro Virtual Workstation(QvDWS) on E2E Cloud
(Designed to provide workstation-grade performance in a virtual environment)
This NVIDIA virtualization technology enables users to access Quadro – the world's most preeminent visual computing platform – via a virtual workstation on any device, from any location.
Empower architects, engineers, and designers to collaborate in real time on designs with virtual workstations powered by Quadro vDWS.
Common Applications: Adobe® Creative Cloud®, Allplan, ANSYS, Autodesk 3ds Max, Autodesk AutoCAD, Autodesk Revit, Bentley AECOsim, Bentley MicroStation
Liberate the lab and provide access to graphics-intensive 3D software traditionally only found in on-campus physical labs—on any device, from anywhere.
Common Applications: Autodesk 3ds Max, Autodesk AutoCAD, Autodesk Maya, Autodesk Revit, Dassault Systèmes SOLIDWORKS, Esri ArcGIS
Run network-heavy applications on up to four 5K monitors, with security, redundancy, and continuity.
Common Applications: Bloomberg, Reuters, Eikon, and other electronic trading platforms
Deliver high-quality, simulated training cost-effectively via 3D graphics–rich virtual workstations.
Common Applications: Autodesk AutoCAD, Adobe Creative Cloud, ANSYS, Dassault Systèmes SOLIDWORKS, Esri ArcGIS Pro, Siemens PLM NX
Deliver remote access for 3D volumetric viewing and editing of images to radiologists, physicians, and medical imaging specialists.
Common Applications: PACS (Picture Archiving and Communication System), Eclipse Medical Imaging
Compress design cycles and accelerate time-to-market, while protecting sensitive data, by enabling virtual access to photorealistic 3D models.
Common Applications: ANSYS Fluent, ANSYS Mechanical, Autodesk AutoCAD, Autodesk Inventor, Autodesk 3ds Max, Dassault Systèmes SOLIDWORKS, Dassault Systèmes CATIA, PTC Creo, Siemens PLM NX
All the GPU servers of E2E networks run in Indian data centers, reducing latency.
is suitable for a wide range of uses
Train complex models at high speed to improve predictions and decisions of your algorithms. Use any framework or library: TensorFlow, PyTorch, Caffe, MXNet, Auto-Keras, and many more.
Accelerate Convolutional Neural Networks based deep-learning workloads like video analysis, facial recognition, medical imaging and others
Analyze and calculate large and complex financial data; performtons of transactions in real-time. Do accurate financial forecasting, faster
Design and implement data-parallel algorithms that scale to hundreds of tightly coupled processing units: molecular modelling, fluid dynamics and others
Deal with large-size data sets and continuously growing data, splitting it up between processors to crunch through voluminous data sets at a quicker rate
We at CamCom are using E2E GPU servers for a while now and the price-performance is the best in the Indian market. We also have enjoyed a fast turnaround from the support and sales team always. I highly recommend the E2E GPU servers for machine learning, deep learning and Image processing purpose
E2E Networks Ltd is an India focused Cloud Computing Company - the first to bring contract-less cloud computing to the Indian startups and SMEs. E2E Networks Cloud was used by many of successfully scaled-up startups like Zomato/Cardekho/Healthkart/Junglee Games/1mg and many more to scale during a significant part of their journey from startup stage to multi-million DAUs ( Daily Active Users).