GPU Clusters & AI Infrastructure
Deploy enterprise-grade AI infrastructure with GPU clusters, HPC systems, and ML platforms. On-premise deployment with cloud bursting for cost-optimized AI workloads.
AI Infrastructure Solutions
From GPU appliances to complete HPC clusters with ML platform engineering
GPU Appliances & Clusters
High-density GPU servers with NVLink/NVSwitch fabrics for maximum performance
- NVIDIA A100, H100, L40S GPUs
- NVLink & NVSwitch interconnect
- Density-optimized rack design
- Liquid cooling options
HPC & Supercomputing
High-performance computing clusters for research and production workloads
- Multi-node cluster deployment
- Infiniband/RoCE networking
- Parallel filesystems (Lustre, BeeGFS)
- Job scheduling (Slurm, PBS)
ML Platform Engineering
End-to-end MLOps platform with training pipelines and model serving
- Kubernetes-based ML platform
- Model training & fine-tuning
- Model serving & inference
- Experiment tracking & versioning
Cloud Bursting
Hybrid architecture with on-prem cluster and cloud bursting for cost optimization
- On-prem + GCP/Azure/AWS
- Automatic workload distribution
- Cost-optimized scheduling
- Data synchronization
Enterprise GPU Cluster Specifications
High-performance GPU clusters designed for AI training, inference, and HPC workloads with industry-leading performance and reliability.
Cluster Services
- Cluster Design & SizingWorkload analysis and optimal configuration
- Rack & StackPhysical deployment and cabling
- Performance TuningBenchmarking and optimization
- MLOps PlatformTraining pipelines and model serving
AI Infrastructure Use Cases
Powering diverse AI and HPC workloads across industries
Large Language Models
Train and fine-tune LLMs with distributed training across multiple GPUs
Computer Vision
Image recognition, object detection, and video analytics at scale
Scientific Computing
Molecular dynamics, climate modeling, and research simulations
Financial Modeling
Risk analysis, algorithmic trading, and portfolio optimization
Hybrid AI Architecture
On-premise GPU cluster with cloud bursting for cost-optimized AI workloads
On-Premise Cluster
Dedicated GPU nodes for consistent workloads with low latency and data sovereignty
Cloud Bursting
Scale to cloud (GCP, Azure, AWS) for peak workloads and cost optimization
GPU Hardware Specifications
Latest NVIDIA GPUs for AI training and inference
NVIDIA H100
Best For:
Large language models, GPT training
NVIDIA A100
Best For:
General AI training & inference
NVIDIA L40S
Best For:
AI inference, graphics rendering
MLOps Platform
End-to-end machine learning operations platform
Training Infrastructure
- Distributed training (PyTorch DDP, Horovod)
- Multi-node GPU orchestration
- Automatic checkpointing & recovery
- Hyperparameter tuning (Optuna, Ray Tune)
Model Management
- Model versioning (MLflow, DVC)
- Experiment tracking & comparison
- Model registry & lineage
- A/B testing framework
Deployment & Serving
- Model serving (TensorFlow Serving, TorchServe)
- Auto-scaling inference endpoints
- Batch inference pipelines
- Real-time prediction APIs
Monitoring & Observability
- Model performance monitoring
- Data drift detection
- GPU utilization tracking
- Cost attribution & optimization
Performance Benchmarks
Real-world performance metrics from production workloads
GPT-3 Training
175B parameters
ResNet-50 Training
ImageNet
BERT Inference
Base (110M params)
Supported AI Frameworks & Tools
Pre-configured with popular AI/ML frameworks
Pricing Tiers
Flexible pricing for teams of all sizes
Starter
Small GPU cluster for R&D teams
- 4x NVIDIA A100 GPUs
- 100GbE networking
- NVMe storage (10TB)
- Basic MLOps platform
- Email support
Best For:
Research teams, proof of concepts
Professional
Production-grade AI infrastructure
- 16x NVIDIA A100/H100 GPUs
- Infiniband networking
- Parallel filesystem (50TB)
- Full MLOps platform
- 24/7 support
- Dedicated engineer
Best For:
Production AI workloads
Enterprise
Large-scale AI supercomputing
- 64+ NVIDIA H100 GPUs
- NVSwitch fabric
- Petabyte-scale storage
- Custom MLOps platform
- White-glove support
- On-site engineers
- SLA guarantees
Best For:
Large enterprises, research institutions
Support & Services
Comprehensive support for your AI infrastructure
AI Consulting
Architecture design and optimization
- Workload analysis
- Infrastructure sizing
- Cost optimization
- Best practices
Training & Workshops
Hands-on training for your team
- GPU programming
- Distributed training
- MLOps best practices
- Performance tuning
Managed Services
24/7 infrastructure management
- Proactive monitoring
- Performance optimization
- Security updates
- Capacity planning
Success Stories
Real results from our AI infrastructure deployments
UAE Research Institute
Challenge:
Train large Arabic language models with limited infrastructure
Solution:
32x H100 GPU cluster with distributed training setup
Results:
Financial Services Company
Challenge:
Real-time fraud detection with low latency requirements
Solution:
L40S inference cluster with auto-scaling
Results:
Ready to Deploy Your AI Infrastructure?
Get a free cluster sizing consultation and architecture design
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