AI Computing Infrastructure
AI Inference & Training Infrastructure
Infrastructure profiles optimised separately for model training, fine-tuning and production inference.
Expanding capability
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What's included
AI Inference & Training Infrastructure
- Training and inference separation
- Model serving engines
- Capacity and latency targets
Technologies
vLLMNVIDIA NIMPyTorch
Workload-driven sizing
GPU, memory and storage capacity are planned around your models and usage profile.
Balanced architecture
Compute, networking and storage are designed together to avoid bottlenecks.
More in this solution area
Related services
Consulting & AdvisoryIndependent advice that turns business goals into the right technology investment.Solution ArchitectureWe bring application, data and infrastructure layers together in one target architecture.Engineering & DesignDetailed engineering design for compute, power, cooling and network infrastructure.Deployment & InstallationOn-site installation, configuration and service readiness for hardware and platforms.
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