Enterprise-grade GPU infrastructure. Flexible billing. Zero setup time.
Enterprise GPUs ready for training and inference
| GPU | VRAM | FP16 TFLOPS | Use Case | Hourly | Monthly | Status |
|---|---|---|---|---|---|---|
| H100 SXM5 | 80GB | 989 | Large model training | $3.50 | $2,300 | Available |
| A100 SXM4 | 80GB | 624 | Deep learning training | $2.20 | $1,450 | Available |
| L40S | 48GB | 366 | Inference, rendering | $1.50 | $990 | Available |
| RTX 4090 | 24GB | 82 | Inference, dev testing | $0.80 | $520 | Limited |
| RTX 3090 x8 | 24GB x8 | — | Distributed training | $4.00/node | $2,600/node | Available |
Launch in seconds with ready-to-use ML stacks
Latest stable with CUDA 12.1 support
Keras 3.0 and full GPU acceleration
High-performance ML research framework
NVIDIA toolkit with cuDNN and TensorRT
Web-based interactive development environment
Container runtime with GPU passthrough
GPU-aware orchestration with Helm charts
Remote IDE with extensions and debugging
Powering innovation across industries
Real-time rendering, asset generation, and AI-driven NPC training.
High-resolution VFX, animation rendering, and virtual production.
Molecular dynamics, climate simulation, and physics modeling.
Distributed training for LLMs, vision models, and multimodal AI.
Sensor fusion, scenario generation, and safety validation.
Risk modeling, backtesting, and real-time market simulation.
Built for performance, reliability, and global reach
InfiniBand and 100Gbps Ethernet interconnects for distributed training with minimal overhead.
GPU clusters in Thailand, Hong Kong, and Singapore. Deploy where your users are.
Expert technical support around the clock. Average response time under 15 minutes.