GPUs We Design For
NVIDIA H100
80GB HBM3, 3.35 TB/s bandwidth
NVIDIA H200
141GB HBM3e, next-gen performance
AMD MI300X
192GB HBM3, cost-effective alternative
NVIDIA L40S
48GB, inference optimized
Why AI Infrastructure is Hard
It's not just about buying GPUs — it's about designing systems that work
GPU Costs Are Exploding
H100s are scarce and expensive. Cloud GPU costs spiral out of control. You need experts who know the landscape.
Wrong Architecture = Wasted Months
Choosing the wrong GPUs, network topology, or storage architecture can set your AI projects back months or years.
No One Speaks 'AI Infrastructure'
Traditional IT teams don't understand AI workloads. You need specialists who've designed and deployed HPC clusters.
What We Design
End-to-end AI infrastructure architecture
GPU Selection
Right GPUs for your workload — training, inference, or hybrid
Network Topology
InfiniBand, RoCE, NVLink — optimized for your scale
Storage Architecture
High-throughput storage that feeds your GPUs without bottlenecks
Cooling & Power
Liquid cooling design, power engineering, facility requirements
Performance Validation
Burn-in testing, benchmark validation, optimization tuning
Software Stack
CUDA, ROCm, orchestration, monitoring, and management tools
Our Design Process
From requirements to running infrastructure
Workload Analysis
Profile your AI workloads — model sizes, batch sizes, inference latency requirements
Week 1Architecture Design
GPU selection, networking, storage, cooling, and power specifications
Weeks 2-3Vendor Coordination
RFP support, vendor evaluation, procurement management
Weeks 3-6Build & Validate
Installation oversight, burn-in testing, performance validation
Weeks 6-16Infrastructure Packages
From assessment to full build — choose your scope
Infrastructure Assessment
Analyze your AI compute needs
Comprehensive analysis of workloads with optimization recommendations.
- Workload profiling
- Current state analysis
- Performance benchmarking
- Cost optimization analysis
- Upgrade recommendations
- ROI projections
AI Cluster Design
Complete architecture specifications
Full hardware design: GPUs, networking, storage, cooling.
- GPU selection (H100/H200/MI300X)
- Network topology design
- Storage architecture
- Cooling requirements
- Power engineering
- Vendor specifications
- RFP support
Full Build & Deploy
End-to-end implementation
Design through deployment including procurement and validation.
- Complete cluster design
- Procurement management
- Installation oversight
- Burn-in testing
- Performance validation
- Documentation & training
- 90-day support
Ready to Build Your AI Compute?
Whether you need 8 GPUs or 800, we'll design infrastructure that delivers performance without wasting budget. Let's talk.