

Nutanix Cloud Clusters and Amazon Bedrock compete in the cloud and AI services category. Nutanix Cloud Clusters excels in hybrid cloud management, while Amazon Bedrock stands out with its AI model offerings and cost efficiency.
Features: Nutanix Cloud Clusters offers comprehensive hybrid cloud capabilities, storage pool flexibility, and full access to on-premises features in the cloud, allowing organizations to optimize costs and manage sustainability. It enhances user management through replication and snapshots. Amazon Bedrock provides robust security with customizable foundational models, AI model integration, and a versatile selection for simplified machine learning workflows, boasting cost-effective serverless operations with AWS integration.
Room for Improvement: Nutanix Cloud Clusters faces low adoption due to pricing and awareness issues, with challenges in deployment, snapshot functionality, and data restoration complexity. Amazon Bedrock needs enhanced documentation, better integration options for Gen AI applications, and a more competitive pricing structure, especially for enterprise services, alongside an improved user interface.
Ease of Deployment and Customer Service: Nutanix Cloud Clusters provides hybrid and on-premises cloud flexibility but some users report slow support service despite its overall responsiveness and technical assistance. Amazon Bedrock benefits from seamless deployment due to AWS service integration, although specific feedback on its customer service is limited.
Pricing and ROI: Nutanix Cloud Clusters is considered expensive with complex licensing, despite providing long-term ROI through reduced total ownership costs. Amazon Bedrock is generally viewed as having competitive and fair pricing, helping organizations achieve ROI with its reliability and cost-optimization features, though users encounter occasional unexpected enterprise service charges.
Amazon Bedrock enabled the use of huge models and the democratization of their use at comparatively low cost, if we host these models in the company.
In time, it has proven beneficial because we no longer have to have hands-on management of a server environment; really, one engineer does it.
In comparison, five years ago, we purchased 30 nodes on-prem, and now we are only using six nodes in Nutanix Cloud Clusters (NC2).
I would say our total cost of ownership has been reduced by approximately 30% to 50%.
We are experiencing the fastest time ever to get things done with AI integrating into our work, regardless of where we are.
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
My experience with the technical support has been very good because they resolved my billing issue within a day.
The people I get are intelligent and know how to fix the issue the first time I call them, so it's been great.
The customer service and technical support have been very helpful; they jump on calls with us and stay engaged until any issues are resolved.
They're good and help us whenever we need them.
It is scalable on a truly global basis.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
It scales well with AWS Lambda, AWS Transcribe, and Polly.
During builds, it was very scalable, and adding or removing nodes was far quicker than if we were to do that on-prem in our own data center.
In the cloud clusters, we can instantly request a host-level host to add to Nutanix Cloud Clusters (NC2), and it will automatically expand.
Nutanix Cloud Clusters (NC2) scales very effectively with the growing needs of my company, and it does so very fast and quickly.
The stability of Amazon Bedrock is good as I have not faced any issues.
Nutanix Cloud Clusters (NC2) is very reliable with 99.99% uptime.
The stability and reliability of Nutanix Cloud Clusters (NC2) are commendable.
I have found Nutanix Cloud Clusters (NC2) to be stable and reliable.
In AgenTek AI business, the only foundation models we can rely on for scaling now are the Cloud 3.5 models like Haiku and SONNET, designed for low latency and complex AI business use cases.
For companies in general, the main pain point or main issue related to Amazon Bedrock is security because they are not confident that all information is hidden by this kind of architecture.
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
The one thing that stands out is the costing, especially if you check the NCM module, where you see the cost of the VM, which is defined by the customer rather than how the calculations work if that VM is a reserved instance.
My suggestion would be getting up to speed on ransomware and evolving, as attackers are always one step ahead of what's out there.
Some features that people say Nutanix Cloud Clusters (NC2) lacks could be simplified to make it easier, such as a single pane of glass, and getting more into Google Cloud would be very helpful for our team as we're working on GCP interfaces.
Our cost is incredibly low, operating for a few hundred dollars a month in production.
One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs.
The pricing and licensing of Amazon Bedrock are quite flexible.
Our partners at Nutanix did work with us recently and reduced a huge licensing cost for us.
For us, the pricing and costs have been fair.
When working with my sales representatives, everything is included, they've been very helpful, and it's been within our price range for the most part.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
The valuable features that have helped in leveraging generative AI for operational efficiency improvements include customization capabilities, various types of models suitable for specific use cases, and the integration of knowledge bases.
The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
We're not limited based on the hardware that we have. We allow ourselves room for growth, and we can literally grow from today to tomorrow to ensure that we're handling our growth.
We used to have a light-for-light kind of build-out in another data center in a different location. Now, we can pare that down to just a couple of nodes and know that we can burst it out when we need to.
Nutanix's license portability is a very valuable tool for us because we were building our own data center, so we've bought on-prem licenses and then utilize that for Nutanix Cloud Clusters (NC2).
| Product | Market Share (%) |
|---|---|
| Nutanix Cloud Clusters (NC2) | 1.6% |
| Amazon Bedrock | 1.8% |
| Other | 96.6% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 8 |
| Large Enterprise | 12 |
Amazon Bedrock offers comprehensive model customization and integration with AWS services, making AI development more flexible for users. It streamlines content generation and model fine-tuning with a focus on security and cost efficiency.
Amazon Bedrock is engineered to provide a seamless AI integration experience with a strong emphasis on security and user-friendliness. It simplifies AI development by offering foundational models and managed scaling, enhancing both trust and operational efficiency. With its versatile model customization and ease of integration, Bedrock reduces the need for extensive infrastructure management. It supports businesses in deploying pre-trained models, performing generative AI tasks, and improving analytics through AI technologies such as chatbots, sentiment analysis, and data formatting.
What are the key features of Amazon Bedrock?Amazon Bedrock is applied across industries for implementing AI-driven solutions like enhancing customer service with chatbots and improving data analysis with sentiment analysis tools. Businesses create knowledge bases, automate business processes, and utilize pre-trained models for tasks such as invoice processing and customer call analysis. Its integration with large language models assists in text and image generation, offering diverse AI capabilities adaptable to industry needs.
Nutanix Cloud Clusters (NC2) provide scalable and cost-efficient infrastructure management across cloud and on-premises environments. With features like data portability and ease of setup, NC2 enables seamless migration without application refactoring.
Nutanix Cloud Clusters (NC2) supports businesses in managing hybrid IT environments, enhancing disaster recovery, and optimizing workloads. Users value NC2 for its unified management platform and redundancy features, facilitating cloud migration and integration with major cloud providers. Challenges include pricing and initial setup complexity, as well as feature parity between different cloud services.
What are the key features of Nutanix Cloud Clusters (NC2)?Nutanix Cloud Clusters (NC2) find application in industries requiring reliable infrastructure management, like finance and healthcare, to safeguard critical systems. Organizations leverage NC2 for virtual desktops, application modernization, and smooth transition to cloud operations, improving data security and replication processes.
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