Gemini vs. Google Compute Engine

Gemini is well suited to help track issues and change requests, projects, bugs, time logs, etc. It is less appropriate for reporting needs or general office management needs.

You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

Incentivized

• It has been pretty good with rewrites and slight edits.
• It has been helpful in project management.
• It has been helpful with easy writing tasks like social media captions or holiday descriptions.

Incentivized

• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

Incentivized

• Speed of processing (on pro model)
• Accuracy of answers (on flash model)
• Veo 3 should be able to use picture prompts when creating videos (without errors)

Incentivized

• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

Incentivized

Gemini's development team continues to improve the product and provides a comprehensive roadmap of upcoming features that makes you want to upgrade as soon as a new version comes out.

Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

Incentivized

Like learning to play checkers, the interface is easy, but the strategy has more of a learning curve. Figuring out the best prompts to use to get the desired outcome with less tries is taking me awhile to develop that skill. The images that I am able to generate are close to "camera-ready", but most do require some tweaking in image editing software to fix AI artifacts like distorted faces and randomly spelled words.

Incentivized

Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

Incentivized

Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

Incentivized

It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

Incentivized

I've never had any problems with the support for the Gemini application itself, but it seems every time I re-install (on a single machine), I run into a licensing issue. As a result, I need to go to the app's website and request that my activation key gets reset or resent. In either case, it's a pain, but as I have to reinstall infrequently, it's a small price to pay for an otherwise solid application.

Incentivized

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

Incentivized

In my case, it's not that Gemini won; I simply use Gemini regularly as a backup plan to compare results obtained with the leading AI in my corporate environment. I believe it's important to have this comparison of results, especially when dealing with critical issues. I think the most powerful AIs for the general public today are ChatGPT and Gemini, in that order, although CoPilot is very well positioned due to its integration with widely used Microsoft products in the corporate world.

Incentivized

Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

Incentivized

It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

Incentivized

• It's sped up some workflows
• It's provided not accurate information sometimes
• It's a great tool when used in the GSuite with sheets and other drive functions

Incentivized

• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

Incentivized