Infrastructure & Bare Metal-as-a-Service
Built for AI & Enterprise Workloads: Pre-configured environments for common AI frameworks (PyTorch, TensorFlow, RAPIDS, etc.) and enterprise use cases (NLP, vision, LLMs, etc.).
- Security & Compliance First: Full-stack isolation, encryption, audit logs, and compliance with industry standards (SOC 2, HIPAA, etc.)
- Simple Onboarding & API Access: Easy provisioning through UI or DevOps-friendly APIs and Terraform support for automation at scale.
NVIDIA-Certified Cloud Partner: Leverage direct NVIDIA collaboration, including access to the latest GPUs, NVIDIA AI Enterprise software, and performance-tuned infrastructure.
Deployment Flexibility: Run workloads across regions, hybrid, or even air-gapped/on-prem environments with the same platform consistency and orchestration.
Cost-Optimized Flexibility: Pay-as-you-go, reserved instances, and spot pricing models to match any budget or usage pattern.
Bare Metal GPU-as-a-Service (BM-GPUaaS)
Bare Metal GPU-as-a-Service (BM-GPUaaS)
Bare Metal GPU-as-a-Service (BM-GPUaaS)
We deliver raw, high-performance GPU compute--ideal for deep learning, inference, and HPC workloads.
Virtual Machine Infrastructure
Bare Metal GPU-as-a-Service (BM-GPUaaS)
Bare Metal GPU-as-a-Service (BM-GPUaaS)
We provide flexible VM configurations optimized for AI/ML, data analytics, and rendering, with NVIDIA GPU pass-through and vGPU options for multi-tenant environments.
Container Infrastructure
Bare Metal GPU-as-a-Service (BM-GPUaaS)
Container Infrastructure
We deliver fully managed Kubernetes or container-native platforms (e.g., K8s with GPU operator) enabling developers to deploy and scale AI workloads with ease.