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Baixar e-bookRun enterprise AI in production with AMD’s open, high-performance AI foundation and Rackspace as the accountable operator across the stack
For organizations in healthcare, financial services and the public sector, running AI in production requires infrastructure that is governed, auditable, secure and accountable from the start. Rackspace and AMD bring that together by integrating AMD InstinctTM GPUs, EPYCTM CPUs and the ROCm software ecosystem into a governed AI stack operated by Rackspace. You get a clear, accountable path from AI experimentation to full production in the sovereign and hybrid environments where enterprise AI runs.
- Open, high-performance AI foundation built on AMD InstinctTM GPUs, EPYCTM CPUs and ROCm
- Accelerated compute designed for enterprise inference, training and production workloads
- Open architecture that gives enterprises choice and avoids single-vendor lock-in
- Compute foundation that underpins the full enterprise AI stack across edge and data center
- Governed infrastructure operated for production AI, aligning performance, resource allocation and cost
- Architecture that addresses data residency, sovereignty and compliance across regulated environments
- Audit-ready and operationally accountable from day one, with SLA ownership, telemetry and compliance reporting
The full enterprise AI stack, operated by Rackspace, with AMD accelerated compute at its foundation
Rackspace and AMD bring together four integrated capabilities that span the full stack, from bare metal compute and developer-ready inference tooling through a fully operated inference runtime with defined SLAs to a governed Enterprise AI Cloud. You get a single operator accountable for every layer, calibrated to the sovereignty, performance and compliance requirements of your workload.
Enterprise AI Cloud: A fully managed, private and hybrid AI environment built on AMD Instinct™ GPUs, AMD EPYC™ CPUs and Rackspace's governed operating model. Rackspace assembles, integrates and operates the full stack from accelerated compute to AI inference and agents in production, so you can run AI in environments where sovereignty, compliance and operational accountability are non-negotiable.
Enterprise Inference Engine: A context-aware inference runtime that retains domain knowledge, session history and enterprise-specific data context across queries, so your AI agents and large language models perform with the consistency and institutional memory that production environments require. Rackspace owns the SLA and takes responsibility for availability, scaling and performance, giving you a fully auditable, cost-accountable way to run large language models and AI agents on your own proprietary data.
Inference as a Service: Dedicated, managed AMD Instinct™ GPUs and EPYC™ CPUs with developer-ready inferencing and fine-tuning toolkits, a governed alternative to commodity GPU rental. You bring your own model and engineering team. Rackspace provides reliable bare metal AMD Instinct capacity with operational discipline, hardware-level support and performance SLOs.
Bare Metal AMD Instinct: Dedicated, high-performance bare metal AMD Instinct compute for workloads that require physical isolation, deterministic performance and direct hardware access. Built for demanding and highly customized training and inference environments where standard cloud infrastructure is not enough.
"A solução na AWS nos permite prontidão para escalar de imediato, tal como para atender ao aumento de 30% no tráfego de audiência durante as eleições de 2018."Veja o estudo de caso
25+ years of experience operating mission-critical infrastructure. We’re built to run what comes next.
From infrastructure to enterprise AI in production, our depth shows up in the certification our engineers hold, the platforms we’re qualified to operated and the environments we’ve kept running for the industries that trust us with their most critical systems.
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