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AI Cloud Data Strategy Solution

Overview


Data Analytics, AI & Cloud Hosting
Florida, United StatesPosted: July 28th, 2026Deadline: August 8th, 2026

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SUMMARY


Seeking a vendor to develop an AI, cloud, security, and data strategy covering on-premises HPC infrastructure and AWS integration. The scope includes assessment, governance, security posture, workload planning, and data pipeline recommendations.

DESCRIPTION


The issuing organization is seeking a vendor to provide an AI cloud data strategy solution supporting on-premises and cloud-based environments. The work includes assessment and strategic recommendations across AI infrastructure, cloud adoption, security, and data operations.

The AI workstream covers on-premises high-performance computing and AI infrastructure, including cluster inventory, workload characterization, utilization and performance analysis, capacity planning, and recommendations related to scheduling, efficiency, and fairness. The cloud workstream focuses on defining the role of AWS in the organization's AI strategy, including workload placement, landing zone and governance design, hybrid networking, and cost controls.

The security workstream addresses security posture across both on-premises and cloud environments, including threat assessment, identity and access management, network segmentation, data protection, secrets management, patching, and audit logging. The data workstream includes storage and consumption baselines, support for data pipelines, and recommendations for data products as needed.

All questions related to the solicitation must be submitted by July 31, 2026.

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Frequently asked questions


When is the submission deadline?
Submissions are due August 8, 2026.
Who is a good fit for this opportunity?
  • AI and cloud strategy consulting firm with hybrid infrastructure expertise
  • Experience with high-performance computing and AI workload assessment
  • Strong AWS architecture, governance, and landing zone design capabilities
  • Cybersecurity team experienced in identity, segmentation, data protection, and audit logging
  • Data engineering expertise in storage baselining, pipelines, and data product strategy
  • Proven healthcare or regulated-environment experience preferred
  • Ability to deliver enterprise assessments, capacity planning, and cost optimization recommendations

Analysis generated by Settle AI from the source RFP.

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Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.

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