AMD Instinct™ Coder
A turnkey, validated appliance that brings secure on-prem AI coding assistance to enterprise development teams.
Cloud speed. Turnkey simplicity. Custom control.
AMD and our ecosystem partners meet you where you are – with flexible path to deploy and scale AI on your terms
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Enterprise AI success requires more than performance—it requires flexibility, control, and confidence at scale. AMD combines high-performance compute with a broad, open ecosystem to help organizations accelerate AI adoption, maintain control of their data and infrastructure, and preserve long-term technology choice.
Deployment Options
Choose the path that’s right for your business - cloud, custom, or turnkey.
AMD and our ecosystem partners help enterprises confidently move AI from pilot to production with high-performance compute, proven software, validated solutions, and lifecycle support.
Deploy fast, scale on demand.
Access high-performance AMD AI infrastructure through leading cloud and neocloud providers. Match compute to your workload, scale capacity as demand changes, and optimize cloud economics.
Best for: Rapid starts and variable demand
Deploy with simplicity, operate with confidence.
Accelerate AI adoption with pre-integrated, validated solutions that deliver predictable performance, minimal configuration, simplified lifecycle management, and comprehensive support.
Best for: Fast deployment of defined use cases
Design for your workloads. Maintain control.
Create a tailored enterprise AI platform using AMD compute, software, and a broad partner ecosystem. Integrate with your existing infrastructure and tools, optimize your unique workloads, and maintain control over data, security, performance, and scale.
Best for: Experienced teams and custom workloads
Models and Frameworks
AIMs
Deploy the models you choose—faster.
High-performance AMD compute supports a broad range of popular and custom AI models. AMD Inference Microservices (AIMs) deliver them as validated, hardware-optimized containers with standard APIs, automated configuration, and Kubernetes-ready deployment—simplifying integration, scaling, and operations.
Blueprints
Move from bare metal to production-ready AI—faster.
AMD AI Blueprints combine leading open-source frameworks, generative AI models, and enterprise Kubernetes platforms in ready-to-deploy reference applications for common generative and agentic AI use cases. Validated, customizable workflows reduce integration complexity and help IT teams accelerate development, deployment, and scale.
Enterprise-Ready, Full Stack AI Solutions from the Leading Operating System Providers
Accelerate your Enterprise AI deployment with choice, flexibility, and control. Combine high-performance AMD compute with leading platforms to deploy, scale and optimize AI workloads quickly – while maintaining full control of your infrastructure
Validated software that helps make building, managing and deploying enterprise AI easy
Software that helps deploy, manage, monitor, and govern AI infrastructure
Purpose-built applications that solve business challenges, transform workflows and accelerate results
Validated infrastructure. Trusted partner choice.
Deploy enterprise AI with AMD-powered systems from leading OEM and ODM partners. Choose from server, cluster, and rack-scale configurations aligned to your workloads, capacity, and operational requirements—with familiar procurement, integration, and support.
Choose the right system. Scale with confidence.
Case Studies
AMD AI Blueprints are ready-to-deploy reference applications for common generative and agentic AI use cases. AMD Inference Microservices (AIMs) are prepackaged, optimized inference services that integrate models through standard APIs and scale with Kubernetes-ready deployment.
AMD works with OS vendors (Canonical, SUSE, Nutanix, Red Hat, VMware), a broad set of ISVs for operations, governance, and industry applications, and leading OEM/ODM partners (Dell, HPE, Lenovo, Supermicro, Cisco, and more) for validated server, cluster, and rack-scale systems.
Choose Cloud for rapid starts and variable demand, Turnkey for fast deployment of defined use cases, and Custom for experienced teams with unique workloads. Many enterprises combine paths as they move from pilot to production.
AMD supports three flexible paths: Cloud for rapid starts and variable demand via leading cloud and neocloud providers; Turnkey for pre-integrated, validated systems with lifecycle support; and Custom for tailored platforms where you maintain control over data, security, and optimization.