AceCloud Reviews

I use AceCloud to host an e-commerce automation system built with UiPath because it handles order cancellation and refund-related workflows. The system is designed to process the requests using VMs and object storage.

A typical workflow that I use AceCloud for will update the order and initiate the refund workflow. SQL records the transaction while the exception goes to another review.

I also automate product returns, and the bot checks the delivery date, return policy, and the provider-provided reason before treating a return request. It can initiate pickup through shipping APIs, update order records, and prevent duplicate return policies.

I am not currently using AceCloud's AI service for automation security, which means protecting order data, customer information, and payment references. I can restrict access, secure credential handling, and use the execution log to control and audit automation.

I use AceCloud's public cloud in Noida that supports my setup. I use two a3a.large Windows VMs for unattended UiPath bots on sta.large Linux/Unix and for Python APIs, DBA, 3.8, and PostgreSQL. The order data is 100 GB.

AceCloud has positively impacted my organization by allowing the bots to run independently. Earlier, automation depended on my local machine, which limited concurrent execution. It also separates development from production workflows and reduces manual server management.

My automation is designed to reduce the standard cancellation processing from around eight minutes manually to two minutes. It also reduces repetitive work and avoids buying a dedicated physical server.

The best features AceCloud offers me are Cloud Compute, Managed PostgreSQL, and Object Storage. The Windows VM runs unattended UiPath robots. The SQL stores order and workflow records, and Object Storage keeps logs and documents. It has flexible CPU and RAM configurations.

I rely on the provisioning of the VM the most. I rely on the provisioning of VMs, the quad-core CPU, and the 16 GB RAM Windows instance the most. My Windows instance is sufficient for browser automation, API requests, and routine processing. I don't need a GPU on the workload.

One improvement for AceCloud would be extending the trial credit validity. AceCloud provides 20,000 trial credits, but the seven-day period is short for developers' testing. At least 14 days would give me enough time to configure infrastructure, test automation performance, and evaluate the service properly.

The basic starter docs were manageable, but more RPA-specific documentation would help guide first-time users for robot development, Windows VM configuration, database security, and automated backup. That would help with onboarding for other developers.

I have been using AceCloud for approximately six months to test and run my e-commerce automation project. Earlier, I was running most workflows locally, which was not feasible.

The cloud infrastructure has been suitable for the workload. Most issues come from an external website change to the e-commerce portal, which I handle.

Initially, I ran the automation on my local Windows desktop, but it wasn't good for unattended execution because restart and development activities could interrupt the bot. I moved to AceCloud for a dedicated cloud infrastructure.

Based on my illustration, my monthly requests and automation cover around 1,050 requests.

The proposed infrastructure budget is approximately 25,000 to 30,000 monthly when configured.

I would like to rate AceCloud nine out of 10. Its compute, database, and storage services fit my automation requirements, and the flexibility to choose different instance configurations is very useful for the project.

I just need more trial time so that a newcomer can explore. That's the only thing, so I gave it nine out of 10 for AceCloud.

Start by estimating your bot concurrency, CPU usage, RAM, and storage needs. For most rule-based RPA workloads, a CPU instance is sufficient. This is a smaller configuration, so measure resource usage.

My main use case for AceCloud is to deploy our 3D reconstruction pipeline, a computer vision app, and a 3D computer vision app on a cloud service. I found AceCloud to be a good provider that is very cost-friendly, and the quality of the deployment and the front end UI is very easy for us to use.

A specific example of how I used AceCloud for our 3D reconstruction pipeline is that I created a VR application. I tried many options in hand which vary on the basis of GPU consumption, memory consumption, and VRAM consumption. Accordingly, I chose different steps in the pipeline, conducting everything on AceCloud, and I am very happy with that.

I wish to continue using AceCloud for cloud services, specifically for GPU spot instances.

AceCloud has positively impacted my organization, as it is definitely cost-effective and sounds like a very good option for us to continue with.

AceCloud's best feature, in my experience, is cost-effectiveness.

AceCloud's cost-effectiveness stands out for me compared to other providers, and it is an Indian solution in that all data centers are present in India, which is new to me. The user interface is very friendly, and whenever any issue happens, the support team is very quick to come in and help out.

I would add something about needed improvements; for instance, the free trial version that AceCloud provides is a very good amount at 20,000K, but it is limited to just one week. In one week, it is very difficult to even use 50% of it, so perhaps a month validation period would be good for the free trial.

I choose nine out of 10 for the same reason I mentioned before regarding the validation period. Perhaps the UI could get a little better, but it is good enough for us. For new people who do not have any experience with cloud service providers, they may need some improvements, but for us, it was fine.

There are no other improvements needed for AceCloud that I have not mentioned; I have nothing else to see changed or added.

I have been using AceCloud for the past two weeks.

AceCloud is stable.

AceCloud's customer support is very nice; they are very quick to resolve things.

I would rate the customer support a nine.

I have used AWS and GCP in the past, and I am shifting to AceCloud because it is Indian and it is more cost-effective.

My experience with pricing, setup cost, and licensing is that it is very cost-effective.

Before choosing AceCloud, I evaluated other options, specifically AWS.

On a scale of 1 to 10, I would rate AceCloud a nine.

My advice for others looking into using AceCloud is that they are very good at providing very high-end GPUs for cloud computing for AI applications and 3D computer vision applications that need a lot of high compute capabilities. They provide these as spot instances or on-demand instances, which are very cost-effective as well. Additionally, for the spot instances, there was very low downtime; hardly any downtime was present even for the very high-end GPUs, which is a very good feature I found.

We are using AceCloud's standard instance to host and run our website, MyRealData.in.

One specific example is that we use AceCloud's standard instance to run our website. It gives us the compute resources we need for the website in one cloud environment. Day-to-day, I don't have to spend much time dealing with the underlying infrastructure, so I can focus more on managing the website and our actual work.

Our main use case is straightforward. We use AceCloud's standard instance for our website hosting and day-to-day operations. We wanted a cloud setup that was simple to manage and reliable for our regular website workload. It has been working well for that purpose and doesn't require much attention from us on a daily basis.

Overall, the positive impact for us has been having a reliable and cost-effective environment for running our website. It also gives us the flexibility to use the resources we need without investing in our own physical infrastructure. For a business in our position, that helps keep both our hosting costs and day-to-day management under control. We could host our own physical infrastructure, but physical infrastructure requires a team and a space and other infrastructure to manage physical servers. That is why we moved to cloud servers, and AceCloud's services have been good for now.

AceCloud provides many cloud services including Cloud GPU, compute, cloud storage, and network security. For us, the most useful feature is the standard instance itself. It gives us the compute resources we need to keep our website running without making the setup complicated. I also appreciate that managing the instance is straightforward. Another thing I value is their customer support. If we need any help with the cloud environment, or we need to upgrade or downgrade our cloud requirements, we can reach out to AceCloud's team instead of having to troubleshoot everything ourselves.

One other thing that stands out for me is the overall simplicity and pricing. I can add that, as we are running our website for Indian customers, the price is very reasonable for Indian customers and suitable for our requirements. Overall, we get the resources we need at a very good price along with accessible support. The combination has worked very well for us.

Overall, our experience has been very good for now, but one thing I would like to add is that their dashboard platform could be improved by making it even simpler for users who are not cloud experts. More step-by-step guidance and documentation for common tasks would also be helpful. If there were more guides available for small issues or tasks, we would not need to contact their customer support. We could fix many small issues ourselves as users with proper documentation.

I have been using AceCloud's standard instance for three years now.

My experience with AceCloud support has been good. Whenever we had a question or needed help with our instance, their support team has been responsive and easy to reach. What I appreciate most is that I can speak with someone when I need assistance instead of spending a lot of time trying to figure it out myself. They have provided a live chat option and a live call option. Both are helpful for us, especially since our website is running on their instance.

I would recommend first understanding your workload and the amount of compute resources you actually need. For our case, the standard instance has been a very good fit because it is very easy to use, reasonably priced for us as Indian customers, and backed by helpful support. I would also suggest speaking with their team about the right configuration because they provide cloud consultation for free before you choose their cloud infrastructure or if you are moving from another provider. They provide free consultation so you can choose better or the best infrastructure according to your workload.

We use AceCloud as a public cloud deployment for our website, which is hosted on their AceCloud standard instance. AceCloud directly is our cloud provider. Our standard instance is deployed on AceCloud's own cloud infrastructure rather than using other providers such as AWS, Azure, or GCP for this workload.

I would rate AceCloud overall a nine out of ten.

AceCloud is our main platform for GPU computing for our computer vision project. We are working on an AI-based video analytics solution for retail stores where the system can help count visitors, monitor queues, and identify certain activities from camera footage. For this type of work, we need robust GPU computing resources for running and testing models, so we use AceCloud's RTX 6000 GPUs for our computing requirements and their storage services to save and process the video data.

GPU performance is excellent, and our use case involves taking video footage from any CCTV entrance or store entrance and processing selected frames. We use a computer vision model to detect people, and we use tracking and counting logic to estimate how many people enter or leave the store.

AceCloud is deployed in our organization as a public cloud. We use the cloud GPU infrastructure for our AI and ML development work, which involves video processing, modern inference, and related storage requirements.

The main benefit of using AceCloud is having access to GPU computing without needing to purchase or maintain any physical GPU ourselves. We also need a cloud GPU or cloud infrastructure because we have several workloads, and when we start our vision workloads or our software services, we need a GPU for our other users or other work. This allows us to focus on developing our application and testing our model instead of managing GPU hardware.

AceCloud provides us access to GPU resources as we need them. Although I haven't calculated the exact percentage of improvement or overall cost savings because this is the first time we are using the technology and we cannot compare exact figures, the pricing is competitive compared to other providers we have checked, so I believe the overall cost will be favorable for us.

For my work, the main useful features AceCloud offers are the GPU option and storage. We are working with video and computer vision models, so GPU resources are important. RTX 6000 is one of the GPUs we have used, and we appreciate having compute and storage options from the same provider.

I find the flexibility of switching between compute and storage options within AceCloud makes my workflow easier. As I mentioned, we use all required infrastructure, including the compute and GPU we need for our use cases since we need the complete infrastructure to run these computer vision models.

Regarding AceCloud's AI capabilities, data security is a main concern for us. According to our requirements, they have informed us that they are certified and provide robust security. We can confirm that data security is strong based on their assurances.

Everything is working well for us regarding AceCloud. One area for improvement is that while they have documentation for the implementation of GPUs and how to implement storage and other services, it would be beneficial if they had documentation for AI models as well. For example, we are using computer vision models, and having step-by-step examples or support would be helpful for me and other developers.

We started using AceCloud approximately one year ago, starting in November. We mainly use their cloud GPU services and cloud storage for our AI and ML development work.

I rate AceCloud a 10 because the GPU option and storage services we are using are excellent in terms of pricing and performance, which is very useful for our project requirements. We are using cloud infrastructure from AceCloud.