High-memory GPU infrastructurefor enterprise AI.
Build accelerated infrastructure around NVIDIA H200 for generative AI, large language models, inference, training and high-performance computing.
NVIDIA H200
GPU Memory
141 GB HBM3e
Memory Bandwidth
4.8 TB/s
Architecture
NVIDIA Hopper
Power
Up to 700W
Workloads
Designed around demanding enterprise workloads
Infrastructure is sized around workload characteristics, performance targets, model scale and deployment requirements.
Generative AI
Accelerated infrastructure for enterprise generative AI applications and foundation model workloads.
LLM Inference
High-memory GPU capacity for serving large language models and high-throughput inference.
AI Training
Multi-GPU infrastructure for model training, fine-tuning and advanced machine learning workloads.
High Performance Computing
Accelerated scientific computing, simulation and computational workloads.
Solution architecture
Configure the complete environment
GPU Configuration
CPU & Memory
Storage
Networking
Software
Deployment
InfraSoftwares delivery
From architecture to production
Workload Assessment
Understand AI workloads, models, datasets, performance targets and future growth.
Architecture Design
Design compute, networking, storage, cooling, power and software architecture.
Infrastructure Sourcing
Coordinate suitable enterprise hardware and supporting infrastructure.
Integration
Integrate compute, storage, networking and platform software.
Deployment
Install, validate and commission the production environment.
Lifecycle Support
Support, optimize and evolve the infrastructure as workloads grow.