Infrastructure for Every AI Workload
From training foundation models to real-time inference at <10ms. Purpose-built GPU infrastructure that's 3x cheaper than hyperscalers.
Training
Large Language Model Training
Train GPT-class, LLaMA, Falcon, and custom foundation models on full NVL72 racks with NVLink 6.0 all-to-all fabric.
Fine-Tuning & RLHF
LoRA, QLoRA, full fine-tuning, and RLHF pipelines on isolated GPU namespaces with enterprise-grade security.
Computer Vision & Diffusion
Train Stable Diffusion, DALL-E class models, video generation, and 3D reconstruction at scale.
Inference
Real-Time LLM Inference
Sub-10ms latency with Groq LPX. Deploy production LLM APIs for chatbots, agents, and real-time applications.
Batch Inference
Process millions of documents, images, or transactions overnight using Spot/Night pricing at $25/GPU-pkg/hr.
Embedding & RAG Pipelines
Generate embeddings for vector databases, power RAG architectures, and semantic search at enterprise scale.
Performance by Workload
NVIDIA Rubin R100 NVL72 vs previous generations. Real performance gains for real workloads.
| Workload | Rubin R100 NVL72 | H100 SXM (8x) | A100 SXM (8x) | Speedup |
|---|---|---|---|---|
| LLaMA 70B Training (1T tokens) | ~3 days | ~15 days | ~38 days | 5x faster |
| Inference throughput (LLaMA 70B) | 800 tok/s | 350 tok/s | 120 tok/s | 2.3x faster |
| Groq LPX Inference (70B) | 3,000 tok/s | 350 tok/s | 120 tok/s | 8.6x faster |
| Stable Diffusion XL (images/sec) | ~180 | ~45 | ~15 | 4x faster |
| Memory per rack | 6.5 TB HBM4 | 640 GB HBM3 | 640 GB HBM2e | 10x faster |
* Estimates based on NVIDIA published specifications and industry benchmarks. Actual performance varies by workload configuration.
Qube Compute vs Hyperscalers
Feature-by-feature comparison. See why enterprises switch to Qube Compute.
| Feature | Qube Compute | AWS | Azure |
|---|---|---|---|
| GPU Orchestration | Kubernetes + Slurm | EKS only | AKS only |
| Networking | InfiniBand Quantum-X800 | EFA (Elastic Fabric) | InfiniBand NDR |
| GPU Interconnect | NVLink 6.0 (full rack) | NVLink (per node) | NVLink (per node) |
| Energy Cost | $0.048/kWh | $0.12-0.18/kWh | $0.10-0.15/kWh |
| GPU Hardware | Rubin R100 NVL72 | H100 / P5 | H100 / ND |
| Real-Time Inference | Groq LPX (<10ms) | Inferentia2 (50ms+) | N/A (GPU only) |
| Monitoring | DCIM + MLflow + GPU metrics | CloudWatch | Monitor |
| Egress Fees | None | $0.09/GB | $0.087/GB |
| Sharia Compliance | AFSA Certified | No | No |
| Escrow Protection | Al Hilal Bank | None | None |
Built for Your Industry
Purpose-built AI infrastructure solving real business problems across verticals.
Financial Services
Oil & Gas
Healthcare & Pharma
Government & Public Sector
How It Works
From signup to production in 3 steps
Choose Your Workload
Select GPU type (Rubin R100 for training or Groq LPX for inference), count, and pricing tier.
Deploy in Minutes
Use our API, CLI, or dashboard. Choose pre-built containers (PyTorch, TensorFlow) or bring your own.
Scale & Monitor
Auto-scaling GPU clusters. Full observability with DCIM, MLflow, and real-time GPU metrics.
Ready to Deploy?
Get $500 free compute credits. Reserve Rubin R100 NVL72 capacity at anchor pricing ($14/GPU-pkg/hr).