Cluster Configuration
Configure your dedicated cluster with the exact specifications your workloads require. Our team works with you to design the optimal setup for your use case.
GPU Selection
Choose from the latest NVIDIA hardware:
| GPU Model | Memory | Best For |
|---|
| Blackwell (B200) | 192GB HBM3e | Cutting-edge training and inference |
| H200 | 141GB HBM3e | Next-gen LLM training and inference |
| H100 | 80GB HBM3 | Industry standard for large-scale training |
Custom Mix: You can combine different GPU types in a single cluster for specialized workloads.
Networking Options
High-speed interconnects are critical for distributed training. Choose the right networking for your needs:
InfiniBand (400Gb/s)
Ultra-low latency networking for distributed training at scale.
- Best for: Multi-node training with 32+ GPUs
- Latency: Sub-microsecond
- Topology: Fat-tree or custom
RoCE (200Gb/s)
High-speed Ethernet alternative with RDMA support.
- Best for: Mixed training/inference workloads
- Latency: Low microsecond
- Easier integration with existing infrastructure
NVLink
Direct GPU-to-GPU communication within a node.
- Best for: Intra-node communication
- Bandwidth: Up to 900GB/s
- Included with multi-GPU nodes
Custom Topology
Need something specific? We can design custom network architectures for your requirements.
Compute Specifications
Configure the CPU and memory for your nodes:
| Component | Options |
|---|
| CPU | Up to 256 cores per node |
| RAM | Up to 2TB per node |
| Internet Bandwidth | 10-100 Gbps connectivity |
Storage Solutions
Local Storage
Fast NVMe storage attached directly to your nodes.
- Capacity: Up to 30TB per node
- Performance: Up to 7GB/s read/write
- Best for: Training checkpoints, scratch space
Shared Storage
Network-attached storage accessible from all nodes.
| Type | Capacity | Best For |
|---|
| Lustre | Up to 1PB | High-performance parallel I/O |
| NFS | Up to 1PB | General-purpose shared storage |
Object Storage
S3-compatible storage for datasets and artifacts.
- Capacity: Unlimited
- Best for: Large datasets, model artifacts, backups
Backup Options
- Automated snapshots
- Point-in-time recovery
- Cross-region replication (optional)
Example Configurations
LLM Training Cluster
Optimized for training large language models:
| Component | Specification |
|---|
| GPUs | 64x H100 80GB |
| Networking | InfiniBand 400Gb/s |
| CPU | 128 cores per node |
| RAM | 1TB per node |
| Storage | 15TB NVMe local + 500TB Lustre shared |
Inference Cluster
Optimized for high-throughput inference:
| Component | Specification |
|---|
| GPUs | 16x H100 80GB |
| Networking | RoCE 200Gb/s |
| CPU | 64 cores per node |
| RAM | 512GB per node |
| Storage | 8TB NVMe local |
Research Cluster
Flexible configuration for R&D teams:
| Component | Specification |
|---|
| GPUs | 32x H200 141GB |
| Networking | NVLink + RoCE |
| CPU | 128 cores per node |
| RAM | 1TB per node |
| Storage | 10TB NVMe local + 200TB NFS shared |
Security Options
- VPN Access: Secure connectivity to your cluster
- Private Networking: Isolated network environment
- Custom Firewall Rules: Control inbound/outbound traffic
- Compliance Configurations: SOC2, HIPAA-ready setups available
Next Steps
