NVIDIA acceleration
NVIDIA B200, H100, H200, L40S and RTX Pro 6000 accelerators.
Accelerated infrastructure for ambitious AI.
Purpose-built AI, machine learning and HPC systems engineered to move demanding models and technical workloads from development into production.
Accelerated ComputeGPU options GPU fabric Architecture Thermal design Power Networking
Compute, fabric and cooling designed as one system.
SmartComm AI & GPU Servers combine current-generation accelerators, high-core-count CPUs, dense memory and low-latency networking in balanced platforms for AI/ML and HPC. Choose a single server for focused projects or a multi-node architecture for production-scale training and inference.
Typical use cases
- LLM training and inference
- Computer vision and deep learning
- Scientific simulations
- Trading analysis
- Massive analytics
Key specifications
Up to 3TB/s NVLink
High-bandwidth GPU interconnect for communication-intensive model training.
Scale up or out
Single-node and multi-node systems sized for laboratory, production and cluster deployments.
Liquid or air cooled
Direct liquid cooling (DLC) or optimized air cooling matched to rack and facility requirements.
Redundant 3000W PSUs
Resilient, high-capacity power delivery for sustained accelerated workloads.
High-speed cluster fabric
400G NDR InfiniBand, 200G Ethernet and 25GbE connectivity options.
Recommended configurations
| Deployment | GPU scale | Compute & memory | Best fit |
|---|---|---|---|
| Small Lab | 2-4 GPUs | 2 Xeon Gen5 / 512GB | Prototyping, fine-tuning and departmental research |
| Production | 4-8 GPUs | 128+ cores / 2TB+ | Continuous training and production inference |
| Enterprise Cluster | 248+ GPUs | Multi-node architecture | Foundation models, HPC and AI factory deployments |
Competitive positioning
Every SmartComm GPU platform is pre-integrated, tested and production ready, reducing deployment risk across compute, fabric, storage, power and cooling.