Nebula Cloud Workbench for Deep Learning and AI
Nebula Cloud Workbench
Digital Twin
3D Modeling
Artificial Intelligence
Deep Tech
What is Nebula Cloud
Workbench for Deep Learning and AI?
The Nebula Cloud Workbench for Deep Learning and AI is your one-stop
shop for deep learning and AI in the cloud. Deep Learning frameworks are
pre-configured with latest versions of NVIDIA CUDA, cuDNN and Intel
acceleration libraries such as MKL-DNN for high performance across CPU and GPU
instance types.
Currently made available for
Australia, India, Singapore, Europe (Stockholm, Frankfurt) and USA regions.
Supported by AWS Cloud.
What do you get in Nebula
Cloud Workbench?
Deep Learning Workbench on Nebula Cloud are
built and optimized for building, training, debugging, and serving deep
learning models in EC2 with popular frameworks such as TensorFlow, MXNet,
PyTorch, and more. Deep learning frameworks are installed in Conda environments
to provide a reliable and isolated environment for practitioners. Works only
on GPU based virtual machines so please select the instance type accordingly.
Below are the core components of Deep Learning Virtual Machine:
· Popular deep learning frameworks including TensorFlow (1.x, 2.x),
PyTorch (1.x), and MXNet(1.x) performance tuned for using in Nebula Cloud. They
are organized into Conda environments that are configured to be used
out-of-the-box.
· AWS Deep Learning Tools including AWS Elastic Fabric Adapter (EFA) and
AWS Neuron.
· NVIDIA Deep Learning Softwares Including NVIDIA GPU Driver, CUDA
Toolkit, cuDNN, NCCL, and Fabric Manager.
· Containerization platforms including Docker, and NVIDIA-Docker for build
and run GPU accelerated Docker containers.
· Intel Architecture performance library Intel MKL-DNN.
· A collection of popular tools such as awscli, boto3, numpy,
scikit-learn, opencv, pandas, matplotlib, graphviz, jupyter, ipython, and more.
In addition to the above popular frameworks, Nebula
Cloud Workbench also provides prebuilt popular Deep Learning software and AI
tools for research and development:
·
NVIDIA Instant Neural Graphics
Primitives (NGP), a framework that allows a neural network to
learn representations of gigapixel images, 3D objects, and NeRFs in seconds.
o
NeRFs use neural networks to represent and
render realistic 3D scenes based on an input collection of 2D images. The
images can automatically be sampled from a video or be a collection of videos.
o
Create 3D Scenes with Neural Networks.
· Nerf Studio, A Complete package that allows for a
simplified end-to-end process of creating, training, and visualizing NeRFs.
o
Create 3D Scenes with Neural Networks powered
by NerF Studio
· Stable Diffusion AI Version 2.1: Stable Diffusion
creates images similar to Midjourney or OpenAI DALL-E. Supports text2image as well as img2img to create impressive images based
on other images with a guidance prompt controlling the influence on the
generated image.
· Deforum Stable Diffusion: Create image
sequences and videos automatically with Deforum Stable Diffusion.
· NICE DCV, high-performance remote display protocol that
provides customers with a secure way to deliver remote desktops and application
streaming from any cloud or data centre to any device, over varying network
conditions.
With NICE DCV and Nebula Cloud Workbench,
customers can run graphics-intensive applications remotely on virtual workstation
instances, and stream their user interface to simpler client machines,
eliminating the need for expensive dedicated workstations. Customers across a
broad range of HPC workloads use NICE DCV for their remote visualization
requirements. Supports T4 GPUs with 16 GB of VRAM (g4dn family) and powerful
A10 GPUs with 24 GB (g5 family) for large image rendering.
For the first time, Nebula Cloud has enabled all popular deep learning
frameworks and AI software tools with
the choice of GPU configurations and storage options (both SSD and HDD). It
removes the burden on the content developers and business users for
installation, configuration and administration of the software, algorithms, and
models.
The platform significantly speeds-up the setup time and the use
of software for various content development work in disciplines like Computer
Vision, Deep Learning, Geospatial Intelligence, photogrammetry, 3D modelling,
3D rendering, Digital Twins and other industrial use cases.
Key Features of
NVIDIA Instant NeRF on Nebula Cloud:
1.
Virtual Windows 10 Professional
Workstation comes preconfigured with NVIDIA Instant NeRF with the choice of GPU
(Tesla T4) and hardware configurations.
2.
Start using preconfigured Nebula Cloud Workbench in less than
5 minutes on Nebula Cloud.
3.
No hassles of installation,
configuration and administration of the software and hardware.
4.
In-built data migration tool to
move the data from on-premise IT systems to the cloud workstation and
vice-versa.
5.
Scale-up/Scale-down the
hardware and storage depending on the changes in the project and volume of the
data.
6.
In-built SSD storage (Upto 5TB)
for effecient data processing of imagery and videos.
7.
In-built HDD storage (Upto 5TB)
for data storage and archival.
8.
Comes with NICE DCV, a
high-performance remote display protocol that provides customers with a secure
way to deliver remote desktops and application streaming from any cloud or data
centre to any device, over varying network conditions.
9.
Comes preconfigured software and
tools like WinSCP for FTP file transfer, Adobe Reader and many other.
10.
Pay only for the Cloud
resources and used on Nebula Cloud.
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Please note Nebula Cloud Workbench works only on GPU enabled
virtual machines so you have to select the correct GPU instance type while
creating the virtual machine. Please use g4dn.xlarge (4 Core, 16GB RAM, 1 GPU
(16GB Memory) to start with or higher configuration as desired.
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Nebula Cloud Workbench comes pre-configured and ready to use.
You just have to start the session using the following commands:
· Once the machine is deployed as per above recommendations, you
will have a GPU enabled virtual machine created and ready for use.
· You will see the login credentials once the machine comes into
running state.
· Use the login credentials provided and connect to the virtual
machine via RDP i.e. Remote Desktop Connection.
· Your Deep Learning and AI enabled Virtual Workstation is ready for use. You can prepare your data and run your models the way you want.
Sign-up for a free trial at www.nebulacloud.ai and create your first 3D NeRF
scene or
use stable diffusion generative AI art tools and showcase it to the
world in minutes.
For any support related queries and
availability in your region, please write to support@nebulacloud.in
or support@nebulacloud.ai