Amazon Deep Learning AMIs vs. Google Cloud Virtual Private Cloud (VPC)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Deep Learning AMIs
Score 8.4 out of 10
N/A
AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new…N/A
Google Cloud Virtual Private Cloud (VPC)
Score 8.4 out of 10
N/A
Google Cloud Virtual Private Cloud has a network of 27 regions and 200+ countries and territories, boasting little to no downtime for its users. It is automatically configured or can be done by the user and allows you to bring your own IP addresses to reduce downtime caused by migration.
$0
per ingress traffic
Pricing
Amazon Deep Learning AMIsGoogle Cloud Virtual Private Cloud (VPC)
Editions & Modules
No answers on this topic
egress traffic
$0 - 0.15
per GB
ingress traffic
$0
based on services that process ingress traffic: Load Balancers, Cloud NAT, Protocol forwarding.
Premium Tier (egress rates)
$0- $0.23
per month per GB of data delivered
Standard Tier (egress rates)
$0.045, $0.065, $0.085
per month per GB of data delivered: 150-500TB, 10-150TB, 0-10TB
Offerings
Pricing Offerings
Amazon Deep Learning AMIsGoogle Cloud Virtual Private Cloud (VPC)
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Deep Learning AMIsGoogle Cloud Virtual Private Cloud (VPC)
Top Pros
Top Cons
Best Alternatives
Amazon Deep Learning AMIsGoogle Cloud Virtual Private Cloud (VPC)
Small Businesses
Saturn Cloud
Saturn Cloud
Score 9.0 out of 10
IBM Cloud Bare Metal Server - VPC
IBM Cloud Bare Metal Server - VPC
Score 9.1 out of 10
Medium-sized Companies
Posit
Posit
Score 8.8 out of 10
IBM Cloud Bare Metal Server - VPC
IBM Cloud Bare Metal Server - VPC
Score 9.1 out of 10
Enterprises
Jupyter Notebook
Jupyter Notebook
Score 8.8 out of 10
IBM Cloud Bare Metal Server - VPC
IBM Cloud Bare Metal Server - VPC
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Deep Learning AMIsGoogle Cloud Virtual Private Cloud (VPC)
Likelihood to Recommend
8.5
(3 ratings)
8.5
(8 ratings)
User Testimonials
Amazon Deep Learning AMIsGoogle Cloud Virtual Private Cloud (VPC)
Likelihood to Recommend
Amazon AWS
Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.
Read full review
Google
An effective pricing strategy is in place. Google Cloud VPC is the most secure since it runs on a private network and never contacts the public network. Google is well-known for its AI/ML and Kubernetes engines, both of which have a leg up on the competition. Google Cloud VPC's database services are yet to be improved.
Read full review
Pros
Amazon AWS
  • Setting up environment
  • Support for different types of machines
  • Perfect for Machine Learning / Deep Learning use cases
  • Nvidia / Cuda / Conda support easily
Read full review
Google
  • Can utilize one VPC to connect many regions without using the internet.
  • Unlike competitors, VPC can automatically build a virtual topology.
  • Configure private communication inside companies.
Read full review
Cons
Amazon AWS
  • AWS Is expensive for small practitioners.
  • There could be support with visualization and data/model versioning.
  • Visualization support can be added.
Read full review
Google
  • Sometimes the group settings tab lags a little
  • Although overall it's easy to use, some of the sections lack documentation
  • Routes section is very poorly implemented, requires a lot of digging to learn how to use
Read full review
Alternatives Considered
Amazon AWS
Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.
Read full review
Google
Google VPC and networking infrastructure is very matured and is built later after Amazon VPC. It made sure to address all the limitations faced by amazon VPC. Google Virtual private cloud is across regions while amazon VPC covers only one region but multiple zones. Google VPC is a global resource while AWS is a regional resource.
Read full review
Return on Investment
Amazon AWS
  • Saves a lot of Infra Costs
  • Saves a lot of time in handling environment issues
  • Easy to start a new instance
Read full review
Google
  • Using Google Cloud VPC cloud storage has saved us on infra budget and per TB storage cost
  • Using MySQL databases on Google Cloud VPC has improved the performance and cost of operation and maintenance
  • Better pricing model has improvement on operational cost and increased revenue
Read full review
ScreenShots

Google Cloud Virtual Private Cloud (VPC) Screenshots

Screenshot of Google flow logs