Accelerate Every Trillion-Parameter AI Workload​

LIASAIL Global AI Compute Engine

Purpose-Built for LLM Training & Generative AI Inference Powered by 200+ NVIDIA H200/A100/5090 GPU clusters and a global edge network, we boost AI compute efficiency by 70%.

Solving AI’s 4 Critical Compute Challenges

Network Challenges

Hyperscale Cluster Orchestration

  • 1,000+ GPU interconnects per region with 900GB/s NVLink full-mesh bandwidth
  • Native support for Kubernetes/Megatron-LM distributed frameworks.

Bare-Metal Elasticity

  • Spin up NVIDIA H200/A100 clusters in minutes (1-1,000 GPUs on demand)
  • Hardware-isolated multi-tenancy with full SSH control.

Intelligent Compute Scheduling

  • Global load balancing across 60+ nodes cuts job queue times by 85%
  • Live compute node monitoring with smart scheduling and auto-recovery

Compliance-Ready Infrastructure

  • EU AI Act/U.S. export control compliance with chip-level audit trails
  • Dual-certified A100/H100 clusters in Singapore/Frankfurt hotspots.

Proven Results: Top-3 Conversational AI Deployment​

Solutions Built for Results
175B-param model
training bottlenecks
Cross-border data
transfer delays
<45% GPU
utilization rates
2,000 H100 GPUs across Tokyo+Silicon Valley
Outcome
Training time reduced from 89→23 days, 41% TCO savings.
Smart backbone + PolarDB distributed storage
Outcome
Checkpoint sync 8x faster, zero data loss.
Proprietary scheduler + elastic scaling
Outcome
82% sustained utilization, 67% idle cost reduction.
High performance and low price

Flexible Deployment Models

Choose Your Own Server

Bare-Metal GPU Clusters

  • NVIDIA H200/A100/5090 options, 8-GPU full-mesh topology per node
  • 3.2Tbps ultra-low-latency network (<1.5μs)

Hybrid Training Platform

  • Direct integration with AWS/GCP AI ecosystems
  • vGPU partitioning (billable per 0.5 GPU-hour).

Global Data Expressway

  • 60+ country dedicated lines (400Gbps/stream)
  • 99.999% uptime via subsea cables + satellite redundancy

TECHNICAL ARCHITECHURE

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