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AMD Radeon™ AI PRO Solutions with GIGABYTE

Enterprise AI Inference, Right-Sized and Ready to Scale 

Where Powerful Performance Meets Open, Scalable AI

Not every AI deployment needs a flagship training cluster. Most need to serve inference reliably, privately, and at a cost that survives a budget review. The AMD Radeon™ AI PRO R9000 series with AMD ROCm™ pairs 32 GB of memory on every card with open multi-GPU scaling, and we put as many as 16 of them in a single server, providing a practical foundation for large language models, RAG pipelines, and agentic AI running on infrastructure you own.

Choose the Right GPU to Accelerate AI Inference

With up to 64 compute units, 128 second-generation AI accelerators, and native support for FP8, FP16, and INT8 precision, the AMD Radeon™ AI PRO R9700S and R9600D GPUs bring real versatility to today's most demanding AI workloads. With clean multi-GPU scaling through AMD ROCm™, developers building on open AI ecosystems can push beyond single-card memory limits and deploy cost-effective acceleration for large language models on Linux. Both cards are passively cooled, moving the thermal work to the chassis, where our airflow and liquid-cooling engineering does its job.

Open Software, an Open Ecosystem

Hardware is only half the decision. AMD ROCm™ is an open software stack, so the frameworks and model runtimes your team already uses run without a proprietary lock-in tax, and multi-GPU scaling is built in rather than bolted on. For enterprises standardizing on open models and open tooling, that openness is the point: you keep the freedom to change models, frameworks, and vendors as the field moves.

The Inference Engine for Enterprise Agentic AI

The AMD Radeon™ AI PRO R9000 series is built for where enterprise AI is actually being deployed — on the factory floor, in the hospital, on the trading desk. Across edge AI, healthcare, and financial services, the AMD Radeon™ AI PRO R9700S and R9600D accelerate inference for intelligent video analytics, medical imaging and AI-assisted diagnosis, fraud detection, risk modeling, and autonomous AI agents. Combined with GIGABYTE high-density GPU servers, they handle an enormous number of concurrent AI requests and agent operations at once, keeping system utilization high, scaling out as demand grows, and holding total cost per inference down.

GIGABYTE Server Solution for AI Inference

High-Density AI Inference DLC Rack Solution with AMD Radeon AI PRO 

This GIGAPOD AI rack-scale solution integrates DLC technology into a 42U rack that housing four G494 servers, for a total of thirty-two AMD Radeon™ AI PRO R9700S GPUs and eight AMD EPYC™ processors. It delivers high-density inference for generative AI, RAG, and agentic AI workloads.An in-rack cooling distribution unit and integrated G-REX DLC power and cooling management keep thermals and power in check. Add GIGABYTE POD Manager (GPM) for cluster-scale management, deep telemetry, and infrastructure provisioning, and scale capacity with validated partner storage or GIGABYTE storage servers to provide a turnkey foundation for secure, efficient, enterprise-ready private AI.

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