Expand your vision with Dedicated servers bundled with Nvidia T4 and Nvidia V100 GPU cards. GPU cards act as a catalyst for heavy workloads making the process more effective and efficient.
E2E customers are proudly using GPU servers for :
-> Artificial intelligence for Radiology to deliver the most accurate reports
-> Providing more reliable digital compliance
-> Automating customer support
-> Automated defect and damage assistance
GPU on the cloud has given a new approach in training deep learning and machine learning models on large datasets. This saves a considerable amount of money, which was earlier wasted earlier on buying on-premise servers.
Thus, these servers can be used on an hourly basis for training purposes as per the requirement.
In addition to this, GPU servers on E2E come along with the Tensorflow library and Jupyter notebook. This solves the massive hindrance for machine learning experts.
Tensorflow library helps in building the models quickly. It includes:
Intuitive API with fast execution, making the debugging easier.
Easy to deploy and train models irrespective of the language used.
Experimentation for Research
Jupyter notebook can be used to create and share live code, visualizations, and equations. Uses include data cleaning and transformation | numerical simulation | statistical modeling | data visualization | machine learning.
One can also create containers with the help of Jupyter Labs. With the help of this, images can easily be created of the current data within the Jupyter notebook.
While using the server for training purposes, tech enthusiasts can easily use the machine on an hourly basis without hampering the data.
These high configuration servers with Tesla T4 and Tesla V100 GPU cards at such cost-effective prices make E2E one of the best platforms to use the services.
To try our GPU Smart Dedicated Servers, kindly check here