GPU as a Service (GPUaaS)
Edarat Group’s GPU-as-a-Service (GPUaaS) provides scalable, secure, and high-performance access to enterprise-grade GPU infrastructure, purpose-built for AI/ML workloads, simulations, and data-driven business applications. Hosted in Edarat’s Tier III+ certified, sovereign data centers in Saudi Arabia, this service enables businesses to unlock accelerated computing without investing in physical infrastructure.
Accelerate Your AI and Compute Workloads
Access high-performance NVIDIA GPU clusters—ideal for large language models, deep learning, real-time inferencing, digital twins, and 3D simulations—through a flexible service model that aligns with your technical and operational needs.
To see how Edarat GPUaaS can power your AI initiatives.
A Purpose-Built AI Infrastructure Model
Edarat’s GPUaaS is backed by a layered AI technology framework that supports fast deployment, efficient scaling, and full governance.
- AI/ML Framework and MLOps pipeline automation
- DataOps and integration layer for seamless data management
- Governance, monitoring, and observability tools
- Zero-trust architecture aligned with local Guidelines and Regulations
- Audit, compliance, and secure multi-tenant access controls
- Support for native Kubernetes and hybrid environments
This architecture ensures secure, compliant, and performance-optimized delivery of AI and compute services across industries.
Flexible Deployment Models
Edarat GPUaaS supports a variety of consumption models to suit enterprise requirements.
Bare Metal GPU
No virtualization, maximum performance and control for training and simulation workloads
Virtual GPU (vGPU)
Optimized resource sharing across workloads or users
Managed Kubernetes
Kubernetes clusters managed by Edarat Group
Self-managed GPUaaS
Tenant-managed environments up to the Kubernetes control plane
GPUaas provided with automated provisioning, billing, and governance.
Key Benefits
Elastic, on-demand scaling
Multiple GPU profiles including NVIDIA H100, H200, L40, and L40S
Integration with major ML frameworks like TensorFlow, PyTorch, and Keras
Full observability, logging, and monitoring features
Pricing models designed to reduce total cost of ownership
Deployment support across hybrid, private, and edge environments
Hosted in sovereign Saudi data centers with guaranteed compliance
Use Cases Across Industries
Manufacturing
Digital twin simulations, process optimization, and computer vision QA systems.
Government Entities
Accelerate e-governance platforms, enhance cybersecurity with AI-driven threat detection, and power advanced analytics for public services.
Banking and Financial Sector
Digital twin simulations, process optimization, and computer vision QA systems.
Telecom
Digital twin simulations, process optimization, and computer vision QA systems.
Healthcare
Medical imaging acceleration, genomics processing, and clinical AI model deployment.
Aligning Compute Power to Your AI Roadmap
We collaborate with your teams to assess planned AI use cases, map them to appropriate GPU configurations, and design a deployment strategy that aligns with your performance, cost, and compliance goals.
Tailored to your industry and scale.
Get Started
Let us help you accelerate your AI and compute workloads.