AI Infrastructure & High-Performance Networking
Build AI-ready networks designed for speed, scale, and reliability.
Three Points International LLC provides end-to-end AI infrastructure design and deployment services, focused on building high-performance, low-latency networks required for modern AI inference and GPU-based workloads.
We help organizations design and implement scalable network fabrics capable of handling heavy east-west traffic, ensuring predictable performance, resilience, and operational simplicity.
What We Do
We design and deploy AI-optimized network infrastructure that supports GPU clusters, AI inference platforms, and high-performance computing environments.
Our services cover both:
- InfiniBand-based architectures for ultra-low latency, high-throughput environments
- High-speed Ethernet fabrics (100G / 200G / 400G) with RDMA / RoCE for enterprise-friendly AI deployments
Technology selection is always driven by workload requirements, performance targets, budget, and operational model.
Our AI Infrastructure Services
AI Network Architecture & Design
- AI-optimized Spine-Leaf fabric design
- Non-blocking, scalable architectures for GPU workloads
- Network sizing and capacity planning for inference and training use cases
- Cabling and optics planning (high-speed links)
High-Performance Switching & Fabric Design
- Design of InfiniBand or high-performance Ethernet fabrics
- Support for 100G / 200G / 400G switching environments
- Low-latency and high-throughput traffic optimization
RDMA / RoCE & Performance Tuning
- Lossless Ethernet design (QoS, PFC, ECN)
- Traffic prioritization and congestion management
- Optimization for GPU east-west traffic patterns
GPU Cluster Connectivity
- Network integration for GPU servers (bare metal, virtualized, Kubernetes / OpenShift)
- Segmentation for compute, storage, management, and external access
- Secure connectivity between AI platforms and enterprise networks
Security & Segmentation
- Network segmentation and isolation for AI environments
- Integration with enterprise firewalls and security controls
- Zero-Trust aligned design principles
Validation, Testing & Handover
- Latency, throughput, and performance validation
- Failure and resiliency testing
- Complete documentation: HLD, LLD, MOP, test cases, and runbooks
- Knowledge transfer and operational handover
Typical Use Cases
- AI inference platforms (internal LLMs, chatbots, analytics engines)
- GPU clusters for enterprise AI workloads
- Data center modernization for AI readiness
- Telecom, banking, government, and enterprise AI platforms
- Hybrid AI environments integrated with cloud and on-prem systems
Our Engagement Model
1. Assessment & Requirement Discovery
Review existing infrastructure, workloads, and performance goals
2. Architecture & Design (HLD / LLD)
Target architecture, network fabric design, and implementation roadmap
3. Implementation Supervision
Deployment guidance, configuration review, and vendor coordination
4. Testing & Performance Validation
End-to-end validation against agreed KPIs
5. Documentation & Handover
Operational documentation and knowledge transfer
Why Three Points International
- Strong foundation in data center and network architecture
- Experience designing high-availability, high-performance infrastructures
- Vendor-neutral approach focused on customer outcomes
- Clear documentation, structured delivery, and operational focus
- Practical designs that balance performance, scalability, and manageability