SUSE Rancher for AWS

What do you like best about the product?

I really appreciate how easy it is to get the solutions I’m looking for just by entering clear, straightforward prompts. Overall, the process feels simple and effective, and it consistently helps me achieve the results I want.

What do you dislike about the product?

Honestly, I don’t have any regrets about using it, so I can’t really point to anything I dislike or would change.

What problems is the product solving and how is that benefiting you?

Receiving daily deliverables has been really beneficial for me. It helps me stay on track, maintain focus, and make steady, consistent progress.

What do you like best about the product?

I like how it helps me manage the SUSE service more efficiently.

What do you dislike about the product?

It maybe lacks a little more complexity but that just means that there's room for improvement

What problems is the product solving and how is that benefiting you?

It shrinks the knowledge curve and help my team get work done faster.

What do you like best about the product?

I like that SUSE AI is easy to use and has quick response times. It's reliable because I can keep prompting it without crashing, which is important for my work. The setup was pretty simple, and it only took a few minutes to get familiar with it.

What do you dislike about the product?

The small ecosystem could be expanded for easier adoption. I think adding industry-specific solutions and pre-trained models would be beneficial.

What problems is the product solving and how is that benefiting you?

I use SUSE AI for market research, extracting data from large datasets, and finding relevant information quickly.

What do you like best about the product?

It’s secure, and I like that it’s open source while still being flexible.

What do you dislike about the product?

I think it has a steep learning curve and requires a certain level of expertise

What problems is the product solving and how is that benefiting you?

I think the biggest problem would be security and compliance since that is the main concern around ai

What do you like best about the product?

I appreciate most about SUSE AI is its enterprise-first approach. It gives organizations the flexibility of open AI models while maintaining full control over infrastructure, security, and compliance. Especially in regulated industries, that balance between innovation and governance is critical.

What do you dislike about the product?

One limitation of SUSE AI is that, compared to more mature hyperscaler AI platforms, its ecosystem and pre-built integrations are still evolving. Organizations may need more internal expertise to fully leverage its capabilities.

What problems is the product solving and how is that benefiting you?

SUSE AI is solving challenges related to data privacy, vendor lock-in, and secure enterprise AI adoption. It allows organizations to run AI workloads in controlled, on-prem or hybrid environments, which benefits me by ensuring better compliance, security, and flexibility while integrating AI with existing infrastructure.

What do you like best about the product?

It is one of the leading platform with comprehensive support documentation for the users. The forefront feature is about the privacy as it support the on premise option as well as hybrid mode which is a key desirable function for many of the enterprise users who needs to abide by privacy laws and compliance.

What do you dislike about the product?

It is still a growing platform whereas many of the experts are still in process of evaluation. The adoption of this platform requires critical and significant tech knowledge and expertise to deploy. Specially for new users it can be challenging in the begining.

What problems is the product solving and how is that benefiting you?

It helps to build AI solution using scalable and secure open source infrastructure to streamline business operations and critical tasks.

What do you like best about the product?

I appreciate SUSE AI's fully open-source and vendor-neutral approach, which allows for flexibility and adaptability across various platforms without being tied to specific proprietary ecosystems. This characteristic is pivotal in ensuring seamless integration and deployment of AI workloads. The platform's ability to deploy AI workloads consistently across all environments is remarkable, providing a reliable and efficient infrastructure for managing complex AI processes. Additionally, the straightforward initial setup process of SUSE AI makes it user-friendly, reducing the time and effort required to get things running smoothly. This ease of use is crucial for quick implementation and adoption within organizational structures.

What do you dislike about the product?

I don't like that SUSE AI lacks a native, integrated AI/ML platform.

What problems is the product solving and how is that benefiting you?

I use SUSE AI to efficiently adopt, deploy, and manage AI workloads with open-source, enterprise-grade infrastructure, solving edge AI deployment and enabling consistent AI workload management across environments.

What do you like best about the product?

enterprise-grade security, data control, and flexibility, allowing businesses to run AI securely on-prem, hybrid, or in the cloud without vendor lock-in. Key highlights include a zero-trust security model, choice of models and deployment locations, data sovereignty, compliance tools (like GDPR/EU AI Act help), and deep observability for monitoring AI performance, ensuring trust and governance for critical AI initiative

What do you dislike about the product?

not a plug and play, steep learning curve,difficult setup process

What problems is the product solving and how is that benefiting you?

GENerative context and ai usage

What do you like best about the product?

Open-source, enterprise-ready foundation, Strong Kubernetes + AI integration

What do you dislike about the product?

common criticisms, limitations, or challenges that users and teams often mention when working with SUSE AI or the AI/ML ecosystem around SUSE + Rancher + K3s.

These aren’t “bad” things—just areas where people sometimes run into friction.

What problems is the product solving and how is that benefiting you?

The problem:
Companies often need to run AI workloads:

on-prem

in multiple clouds

at the edge

on GPUs, CPUs, mixed hardware

This becomes messy and inconsistent.

What do you like best about the product?

I value how easily it integrates with existing infrastructure, along with its enterprise-grade security and the comprehensive tools it offers for model deployment and monitoring. SUSE AI streamlines complex AI workflows, making it much simpler to operationalize AI projects. The quality of its support and documentation is also impressive, which really helps speed up adoption. Used regularly for AI model training, deployment, and monitoring in production environments. Straightforward to navigate and operate, especially for teams experienced with enterprise IT systems. Implementation is smooth in familiar enterprise environments, though initial setup and configuration require some planning.

What do you dislike about the product?

Although SUSE AI offers robust capabilities, getting started can be difficult for teams that are unfamiliar with AI or machine learning concepts. The initial setup process and the learning curve may pose challenges, and making the most of some of the more advanced features often demands significant technical expertise.

What problems is the product solving and how is that benefiting you?

SUSE AI helps us streamline AI/ML model deployment, training, and monitoring, reducing operational complexity and manual effort. It allows our teams to quickly operationalize AI projects, improve decision-making, and maintain reliable, scalable AI workloads in production. Overall, it increases efficiency, productivity, and infrastructure utilization.