Accelerating Discovery with AI Infrastructure
Purpose-built GPU clusters and storage systems designed to power the next generation of AI research. From LLM training to scientific simulation, we provide the compute you need.
Enterprise-Grade Hardware
Forged for performance, built for scale.
Compute Power
- NVIDIA H100 / A100 Tensor Core GPUs
- Multi-node distributed training support
- FP8 / FP16 / BF16 precision optimization
- High-density CPU compute nodes (AMD EPYC / Intel Xeon)
High-Speed Networking
- 400Gbps NDR InfiniBand low-latency fabric
- 200Gbps Ethernet for management & data
- RDMA / GPUDirect support
- Non-blocking spine-leaf topology
Storage Infrastructure
- High-performance NVMe flash tiers for hot data
- Parallel File Systems (Lustre / GPFS / Weka)
- Scalable Object Storage (S3 compatible) for datasets
- Automated data lifecycle management
Fully Integrated Software Stack
Don't waste time on configuration. Our environment comes pre-loaded with optimized frameworks, MLOps tools, and orchestration engines, ready for your code.
AI Frameworks
PyTorch, TensorFlow, JAX, Hugging Face
MLOps Platform
Kubeflow, MLflow, Weights & Biases
Orchestration
Slurm Workload Manager, Kubernetes (EKS/AKS)
Interactive Computing
JupyterHub, RStudio Server
Security & Compliance
- ISO 27001 Certified Environment
- Air-gapped deployment options
- Role-Based Access Control (RBAC)
- Encrypted operational storage
Powering Breakthroughs
Scalable infrastructure for diverse research domains
Large Language Models (LLM)
Train and fine-tune massive parameter models with distributed computing strategies.
Generative AI & Vision
Accelerate image generation, 3D rendering, and video synthesis workflows.
Bioinformatics & Simulation
Protein folding (AlphaFold), genomics, and molecular dynamics simulations.