๐Ÿข Enterprise GPU Servers

๐Ÿ‡บ๐Ÿ‡ธ 2ร— RTX 4090 โ€” 48GB VRAM

$865.00
ื—ื•ื“ืฉื™

Ideal starting point for scalable AI infrastructure
Ready for multi-node deployments
CPU 16 cores / 32 threads
RAM 64 GB
Storage 1 TB NVMe
Network 10 Gbps port, 100 TB traffic

$865.00
ื—ื•ื“ืฉื™
ื”ื–ืžื™ื ื• ืขื›ืฉื™ื•

๐Ÿ‡บ๐Ÿ‡ธ RTX L40S โ€” 48GB VRAM

$1500.00
ื—ื•ื“ืฉื™

Optimized for professional AI workloads
High VRAM for large models & LLM inference
CPU 24 cores / 48 threads
RAM 128 GB
Storage 1 TB NVMe
Network 10 Gbps port, 20 TB traffic

$1500.00
ื—ื•ื“ืฉื™
ื”ื–ืžื™ื ื• ืขื›ืฉื™ื•

๐Ÿ‡บ๐Ÿ‡ธ 8ร— H100 Tensor Core โ€” 640GB VRAM

$14650.00
ื—ื•ื“ืฉื™

Extreme performance for large-scale AI training
Built for enterprise, research & radvanced AI workloads
CPU 16 cores / 32 threads
RAM 2048 GB
Storage 4ร— 4 TB NVMe
Network 10 Gbps port, 100 TB traffic

$14650.00
ื—ื•ื“ืฉื™
ื”ื–ืžื™ื ื• ืขื›ืฉื™ื•

ื›ืœ ืจื›ื™ืฉื” ื›ื•ืœืœืช ื‘ื ื•ืกืฃ

  • Dedicated GPU resources (no sharing)
  • Multi-GPU & multi-node ready configurations
  • High-performance hardware for AI workloads
  • Full root access & flexible environment setup
  • Optimized for deep learning & LLM inference
  • Stable performance with no throttling
  • Fast deployment & reliable infrastructure
  • Optional scaling with additional GPU nodes