Infrastructure

GPU Compute at Scale

High-performance clusters designed for the most demanding AI workloads — training, fine-tuning, and inference at any scale.

Compute Network

Global GPU Cluster Access

Tap into distributed GPU resources across multiple data centers. Our scheduling engine optimizes for cost, latency, and availability so you can focus on building models.

  • NVIDIA H100 80GB SXM5 clusters with NVLink interconnect
  • A100 80GB and L40S pools for cost-sensitive workloads
  • Bare-metal and containerized deployment options
  • Multi-region failover with automatic job recovery
GPU ModelMemoryUse Case
H100 SXM580 GB HBM3Large-scale training
A100 SXM480 GB HBM2eFine-tuning & RLHF
L40S48 GB GDDR6XInference & evaluation
CustomVariableTailored clusters
FinOps

Cost Intelligence & Transparency

Every dollar of GPU spend is tracked and optimized. Our FinOps dashboard provides real-time visibility into utilization, cost attribution, and waste identification.

  • Real-time cost monitoring per job, team, and project
  • Automated spot/reserved instance optimization
  • Usage alerts and budget guardrails
  • Detailed monthly reports with cost-saving recommendations

Real-time FinOps Dashboard

Cost per GPU-hour · Utilization % · Budget tracking

Operations

Resilient Cluster Operations

Enterprise-grade reliability with proactive monitoring, automated recovery, and dedicated support engineers who understand AI workloads.

  • 99.9% uptime SLA with financial backing
  • Proactive health monitoring and predictive maintenance
  • Automated checkpoint and job recovery
  • Dedicated technical account manager

99.9%

Uptime SLA

Need GPU compute?

Share your workload requirements and we'll provision a tailored cluster within 48 hours.

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