Amazon Deep Learning AMIs vs. Red Hat Virtualization (discontinued)

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.

Incentivized

RHEV is well suited for organizations that need a cost-effective and flexible solution for their environment. As its vendor-independent software, easily install on any type of hardware. RHEV provides a GUI interface to manage the software, which makes the management of the software easier for the end-user. RHEV is best for non-production or less critical applications. RHEV can be easily integrated with other REDHAT software.

Incentivized

• Setting up environment
• Support for different types of machines
• Perfect for Machine Learning / Deep Learning use cases
• Nvidia / Cuda / Conda support easily

Incentivized

• RHV issues/bugs can be reported via Bugzilla to RH support. The service is great and typically responds soon.
• Red Hat distribution integration is seamless as it is integrated into the kernel.
• OpenStack support enables more customized VM templates and network configuration control.

Incentivized

• Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
• It can be a bit confusing to switch between frameworks for novice users

Incentivized

• 1- RHVM API is pretty slow, especially after creating a VM it is not possible to retrieve the VM details (i.e VM's MAC Address) fast enough, where we need to place a pause in our Ansible Playbook, make the automation process slow.
• 2- RHV is still using collected to monitor the hypervisors which is deviating from Red Hat policy for other RHEL based applications to use PCP to monitor, which is richer in features.
• 3- It will be great if it is possible to patch the hypervisors using other tools such as satellite and not only via RHVM.
• 4- In the past Red Hat used to present patches in the z release (i.e. 4.3.z), and features in the y release (i.e 4. y), but starting from 4.4 that is mixed together wherein the Z release you get both patches and features, that is not good because that requires a lot of time to test when we patch as it includes features as well.
• 5- Engineering team has to be more reactive when new feature is requested.

Incentivized

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.

Incentivized

RHEV is an excellent product, includes more features, is less expensive, and has rock solid reliability and is backed with the best Red Hat Support in the industry. RHEV uses KVM under the hood which is used by all the big players in the industry (AWS, Rackspace, etc) to lower their overall costs and improve efficiency and profits and that's why RHEV is an excellent solution!

Incentivized

• Saves a lot of Infra Costs
• Saves a lot of time in handling environment issues
• Easy to start a new instance

Incentivized

• RHEV has provided a positive ROI as our customers are not experiencing as many outages during maintenances.
• We have not experienced any catastrophic failures as a result of vsphere losing connection to the ntp.
• There has been a level of stability in our environment that was not previously experienced with our previous vendor.

Incentivized