Squeeze every FLOP out of your NVIDIA fleet.
Pinaka ZTi gives you four GPU-sharing strategies — PCIe Passthrough, NVIDIA vGPU, Multi-Instance GPU (MIG), and Time-Slicing — combinable on the same cluster. Match performance, isolation and tenant density to each workload.
PCIe Passthrough
Entire physical GPU assigned to a single VM. Bare-metal performance, full CUDA feature set. Best for foundation-model training, large fine-tunes and HPC.
Complete — 1 GPU = 1 VM
NVIDIA vGPU (SR-IOV)
A physical GPU split across multiple VMs using SR-IOV virtual functions. Each VM gets dedicated frame buffer; compute is time-sliced or MIG-backed. Secure isolation via IOMMU.
Strong — dedicated VRAM, IOMMU-protected
Multi-Instance GPU
Hardware-level partition of an Ampere/Hopper GPU into up to 7 fully isolated instances. Each MIG slice has its own SMs, memory, L2 cache and bandwidth. Predictable QoS for noisy-neighbour-free serving.
Hardware-level — dedicated SMs, memory, cache
GPU Time-Slicing
Software-based round-robin scheduling. Many users share the same GPU sequentially. No memory or fault isolation, but maximum density. Works on older GPUs without MIG support and combines with MIG.
Soft — shared memory, sequential scheduling
Pro tip: combine MIG with Time-Slicing for hybrid density. MIG provides baseline hardware isolation; Time-Slicing multiplies user density inside each MIG instance — perfect for Kubernetes AI inference pipelines.
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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.