AI / GPU & HPC Environments

Ultra-Fast Fabrics & High-Density GPU Clusters

Architect and secure high-performance computing infrastructure for AI model training, LLM fine-tuning, and GenAI workloads with InfiniBand networking, liquid cooling, and NVMe storage.

Get AI Infrastructure Audit Explore GPU Stack

InfiniBand & RoCE v2 Fabric

800Gbps cluster interconnects, direct-to-chip liquid cooling & model data security.

800G InfiniBand Cluster Direct-to-Chip Liquid Cooling

AI Compute Overview

Architecting Next-Generation AI Supercomputing Clusters

Training multi-billion parameter LLMs and GenAI models requires ultra-low latency network fabrics, immense storage IOPS, and specialized cooling. Amrux Tech designs high-density GPU infrastructure that maximizes FLOPS per watt while safeguarding proprietary AI model weights.

800Gbps InfiniBand NDR/XDR zero-loss network fabrics for H100/H200/Blackwell GPU clusters.
NVMe-oF parallel storage (WEKA/Lustre) delivering multi-TB/sec GPUDirect throughput.
Closed-loop direct-to-chip liquid cooling retrofits handling 50kW+ per rack.

800 Gbps

GPU Fabric Bandwidth

Sub-Microsec

RDMA Latency

50 kW+

Rack Thermal Cooling

100%

AI Model Data Governance

AI Hardware Demands

Critical Challenges in AI & GPU Infrastructure

Building GenAI and LLM clusters requires overcoming network congestion bottlenecks, thermal limits, data starvation, and IP leakage risks.

GPU Interconnect Bottlenecks

Traditional Ethernet causes packet drops and GPU idle time during distributed model parameter synchronization (AllReduce).

InfiniBand Quantum-2 deployment
RoCE v2 (RDMA over Converged Ethernet)
Non-blocking GPU switching fabric

Storage IOPS & Data Starvation

Slow storage feeds delay GPU model training cycles, burning thousands of dollars per hour in idle computing costs.

NVMe-oF parallel file systems
WEKA / Lustre high-throughput storage
Multi-terabyte/sec read speeds

AI Model Poisoning & Weight Theft

Proprietary LLM weights, fine-tuning datasets, and prompt history are lucrative targets for industrial espionage.

Air-gapped AI enclave isolation
Model weights encryption at rest
Prompt injection WAF defense

AI Solutions

Enterprise AI & GPU Engineering Portfolio

Designed for AI research labs, GenAI startups, enterprise R&D, and GPU cloud providers.

GPU Cluster Fabric Engineering

Design and deploy high-bandwidth, zero-loss network fabrics linking NVIDIA H100 / H200 / Blackwell GPU nodes.

InfiniBand NDR 400G / XDR 800G
Spectrum-4 Ethernet switching
Rail-optimized cabling topologies

Liquid Cooling Integration

Retrofit data center racks with direct-to-chip liquid cooling and rear-door heat exchangers for 40kW–100kW per rack.

Closed-loop CDU cooling units
Thermal runaway monitoring
Lower PUE down to 1.1

Ultra-Fast NVMe AI Storage Fabrics

Parallel file system architecture delivering multi-terabyte per second throughput to eliminate GPU data wait times.

GPUDirect Storage (GDS) bypass
WEKA / Lustre / VAST Data integration
Automated data tiering to S3

AI Compute Pillars

Explore AI & GPU Stack Execution Pillars

Click through the tabs to discover our high-throughput GPU fabrics, liquid cooling, and model data governance.

800Gbps InfiniBand NDR/XDR Fabric

Zero-loss, non-blocking cluster network linking NVIDIA H100/H200 nodes for rapid AllReduce parameter synchronization.

Sub-microsecond RDMA latency
Rail-optimized topology design
RoCE v2 Ethernet alternative options

NVMe-oF Parallel File Systems

High-throughput storage architecture using WEKA, Lustre, or VAST Data to eliminate GPU data starvation.

NVIDIA GPUDirect Storage (GDS) direct DMA
Multi-terabyte per second read speeds
Automated tiering to S3 object vaults

Direct-to-Chip Liquid Cooling Loops

Handle 50kW to 100kW per rack thermal output with closed-loop coolant distribution units (CDUs).

Lower PUE down to 1.1
Real-time coolant leak detection
Extended GPU silicon lifespan

AI Model & Weight Governance

Air-gapped enclaves protecting proprietary LLM weights, fine-tuning datasets, and prompt histories from theft.

Model weights encryption at rest
Prompt injection WAF shielding
NIST AI RMF compliance mapping

Hybrid Cloud GPU Orchestration

Orchestrate training jobs across private colocation GPU racks and cloud providers (AWS, Lambda, CoreWeave).

Slurm / Kubernetes GPU scheduler
Spot instance auto-bursting
99.9% GPU cluster utilization

Frequently Asked Questions

AI & GPU Infrastructure FAQs

Answers to common questions regarding InfiniBand fabrics, liquid cooling, and AI model weight security.

Distributed LLM training requires sub-microsecond Remote Direct Memory Access (RDMA) and zero packet loss. Standard Ethernet causes TCP retransmission delays during parameter synchronization, stalling high-cost GPUs.

By deploying WEKA or Lustre parallel storage with NVIDIA GPUDirect Storage (GDS), data transfers directly between NVMe drives and GPU memory over InfiniBand, bypassing CPU bottlenecks and delivering multi-TB/sec throughput.

We install closed-loop Coolant Distribution Units (CDUs) and cold plates directly onto GPU/CPU sockets inside 40kW–100kW racks, dissipating heat efficiently without major building plumbing overhauls.

We isolate AI training clusters in air-gapped zero-trust enclaves, encrypt model checkpoints with hardware security modules (HSM), and deploy prompt-injection WAF shields on inference API endpoints.

Compute Supremacy

Unlocking Peak Efficiency in AI Training & Inference

Amrux Tech eliminates physical and network constraints in high-density GPU environments, maximizing FLOPS per watt and protecting key intellectual assets.

NVIDIA GPUDirect Technology

Direct memory access between NVMe storage and GPU memory, bypassing CPU bottlenecks.

Immutable Model Weight Backups

Air-gapped cloud storage for multi-billion parameter model checkpoints.

NIST AI RMF ISO 27001 EU AI Act Ready

Accelerate AI Cluster

Build Your Enterprise GPU & AI Infrastructure

Consult with our senior HPC and GPU network architects to optimize your AI cluster performance and security posture.

Schedule AI Tech Audit