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Average Ratings 0 Ratings
Description
Quickly set up a virtual machine on Google Cloud for your deep learning project using the Deep Learning VM Image, which simplifies the process of launching a VM with essential AI frameworks on Google Compute Engine. This solution allows you to initiate Compute Engine instances that come equipped with popular libraries such as TensorFlow, PyTorch, and scikit-learn, eliminating concerns over software compatibility. Additionally, you have the flexibility to incorporate Cloud GPU and Cloud TPU support effortlessly. The Deep Learning VM Image is designed to support both the latest and most widely used machine learning frameworks, ensuring you have access to cutting-edge tools like TensorFlow and PyTorch. To enhance the speed of your model training and deployment, these images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers, as well as the Intel® Math Kernel Library. By using this service, you can hit the ground running with all necessary frameworks, libraries, and drivers pre-installed and validated for compatibility. Furthermore, the Deep Learning VM Image provides a smooth notebook experience through its integrated support for JupyterLab, facilitating an efficient workflow for your data science tasks. This combination of features makes it an ideal solution for both beginners and experienced practitioners in the field of machine learning.
Description
Tensor aims to establish itself as the premier trading platform for professional NFT traders. The inception of Tensor was driven by our own experiences flipping NFTs on a daily basis, as we found the available tools to be lacking. Our desire for enhanced speed, broader coverage, more comprehensive data, and sophisticated order types led to the creation of Tensor. Upon visiting Tensor, users will encounter a streamlined decentralized application (dApp), although several components work harmoniously behind the scenes. Our bonding-curve-based orders, whether linear or exponential, allow for dollar-cost averaging into or out of NFTs with ease. We also prioritize the instant listing of new collections, recognizing the eagerness of traders to access the latest offerings. By providing liquidity and facilitating market creation for preferred NFT collections on TensorSwap, users can earn trading fees and liquidity provider rewards. Additionally, market makers play a crucial role in enhancing market liquidity, enabling other traders to enter and exit the market at more advantageous prices, which ultimately fosters a more dynamic trading environment. Together, these features make Tensor an indispensable tool for NFT enthusiasts looking to optimize their trading strategies.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Base App
No
Brave Wallet
No
Chainer
Yes
Dataoorts GPU Cloud
No
Google Cloud Platform
Yes
Google Cloud TPU
Yes
Google Compute Engine
Yes
Ledger
No
MXNet
Yes
NVIDIA DRIVE
Yes
Integrations
Base App
Yes
Brave Wallet
Yes
Chainer
No
Dataoorts GPU Cloud
Yes
Google Cloud Platform
No
Google Cloud TPU
No
Google Compute Engine
No
Ledger
Yes
MXNet
No
NVIDIA DRIVE
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/deep-learning-vm
Vendor Details
Company Name
Tensor
Website
www.tensor.trade/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No