AI Data Center & GPU Infrastructure
Infrastructure Engineered for Accelerated Computing
Infrastructure Engineered for Accelerated Computing
AI and accelerated-computing environments require a new generation of data center infrastructure. Large-scale training, inference, machine learning and GPU clusters demand extremely high bandwidth, predictable latency, high-performance storage and carefully engineered east-west connectivity.
EPESOL provides infrastructure engineering services for organizations building, expanding or modernizing AI-ready data centers.
What we deliver
AI Data Center Architecture
- AI Data Center Architecture
- GPU Cluster Infrastructure Design
- AI Compute Infrastructure
- GPU Server Infrastructure
High-Performance Fabrics
- AI Backend / Compute Fabrics
- AI Front-End & Management Networks
- 100G / 200G / 400G / 800G Network Architecture
- EVPN-VXLAN Fabrics
Lossless Transport
- RoCE / RDMA Architecture
- Lossless Ethernet Design
- Priority Flow Control (PFC)
- ECN & Congestion Management
- High-Performance Storage Networking
Resiliency & Optimization
- Out-of-Band Management
- AI Cluster Resiliency
- AI Infrastructure Monitoring
- Fabric Performance Optimization
- Capacity & Scalability Planning
How it is engineered
A reference view of the architecture our engineers design, build and validate on this kind of programme.
Platforms we design, deploy and support
EPESOL is multi-vendor by design. We select platforms against your performance, availability and security requirements rather than a single ecosystem.
- NVIDIA
- Cisco
- Arista Networks
- Juniper Networks
- Dell Technologies
How we run the engagement
Delivery lifecycle
- Assess
- Design
- Build
- Migrate
- Validate
- Operate
- Assess
- Design
- Build
- Migrate
- Validate
- Operate
Talk to an EPESOL Expert
Tell us what you are building. We will bring engineers who have designed, migrated and operated this kind of environment before.