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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
API Access
Has API
Integrations
Brave Browser
Chainer
Dataoorts GPU Cloud
Glow Wallet
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
Ledger
MXNet
Integrations
Brave Browser
Chainer
Dataoorts GPU Cloud
Glow Wallet
Google Cloud Platform
Google Cloud TPU
Google Compute Engine
JupyterLab
Ledger
MXNet
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
