On-Demand GPU Power, Ready When You Are
Spin up dedicated GPU instances for AI training, inference, and rendering — no hardware to buy, no long-term contract.
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[[ EDIT: confirm real GPU models, specs, and pricing before publishing ]]
Single GPU
- 8 vCPU cores
- 64GB RAM
- 500GB NVMe storage
- Ideal for inference & fine-tuning
Dual GPU
- 16 vCPU cores
- 128GB RAM
- 1TB NVMe storage
- Ideal for small training jobs
Multi-GPU
- 32 vCPU cores
- 256GB RAM
- 2TB NVMe storage
- Ideal for model training
Multi-GPU Pro
- 64 vCPU cores
- 512GB RAM
- 4TB NVMe storage
- Ideal for large-scale training
GPU Cluster
- Custom vCPU & RAM
- High-speed interconnect
- Custom storage & SLA
- Ideal for large-scale workloads
Built for GPU Workloads
Everything you need to train, fine-tune, and render without waiting on a queue.
Dedicated GPUs
Full, uncontended access to high-performance GPUs — no sharing, no noisy neighbors slowing you down.
Fast Provisioning
Instances come online in minutes, not days, so you can start training or rendering right away.
High-Speed Networking
Low-latency, high-throughput connectivity between nodes for distributed training and large datasets.
NVMe Storage
Fast local NVMe storage keeps data pipelines from bottlenecking your GPU utilization.
Popular Frameworks
Pre-configured images for PyTorch, TensorFlow, CUDA, and common ML/rendering toolchains.
24/7 Support
Real infrastructure engineers on call around the clock if something needs attention.
Ready to put GPUs to work?
Tell us about your workload and we'll recommend the right configuration.
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