Pinaka ZTi - Turnkey Cloud Appliance for AI/ML Workloads
Compute acceleration with GPU MIG and GPU Time-Slicing in PinakaZTi, delivering optimized GPU resource allocation, improved utilization, and greater flexibility for your virtualized environments.
Open-source ML platform
OpenStack-based environment for AI/ML. Flexible deployment of TensorFlow, PyTorch, JAX, Hugging Face. Foster innovation through open standards.
7-layer AI architecture
Infrastructure → Virtualization → Container Orchestration → ML Frameworks → MLOps Platform → AI Services → Application — fully integrated.
NVIDIA-accelerated
GPU PCIe Passthrough or NVIDIA vGPU drivers. From RTX 3080Ti to A100 to H100/L40S. RDMA + GPUDirect for distributed training.
Cost-controlled private cloud
Move AI off expensive public-cloud GPUs. Predictable per-socket pricing. Sovereign data residency. Built for enterprises, academia, research.
Three SKUs. From lab to foundation-model training.
Cirrus
Entry-level AI/ML lab
StratoCumulus
Mid-scale training & inference
GPU Pod
Foundation-model training · HPC
Ready to leave the subscription lock-in tax behind?
From discovery call to MoU in 30 days. Free V2V migration. Perpetual licensing. Real engineers on real customer clouds.
Discovery Call
Walk us through your VMware estate, growth plan and sovereignty constraints. We map a ZTi fit.
Pilot Cluster
We build a 3-node ZTi cluster on your hardware. Run real workloads. Validate the savings.
MoU & Rollout
Sign perpetual licensing. We co-engineer the full migration plan with V2V packs and AMC.