🇺🇸 2× RTX 4090 — 48GB VRAM
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
🇺🇸 RTX L40S — 48GB VRAM
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
🇮🇸 4× RTX 4090 —96GB VRAM
High-performance multi-GPU server for AI training
Designed for large-scale AI workloads
CPU 24 cores / 48 threads
RAM 64 GB
Storage 2× 4 TB NVMe
Network 1 Gbps port, Unmetered traffic
🇺🇸 8× H100 Tensor Core — 640GB VRAM
Extreme performance for large-scale AI training
Built for enterprise, research & radvanced AI workloads
CPU 16 cores / 32 threads
RAM 2048 GB
Storage 4× 4 TB NVMe
Network 10 Gbps port, 100 TB traffic
All Plans Include
- 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
