AI CLOUD

GPU Backbone — How It Super-Charges Skyvault AI Cloud

GB200 NVL72
(GA 2025 Q1)

What It Delivers

  • 1.44 EFLOPS FP4 inside a single, liquid-cooled rack
  • 13 TB HBM3e shared across 72 GPUs  
  • 130 TB/s NVLink 5 fabric + 800 Gb/s IB uplinks

Why It Matters for Your Workloads

  • Collapses multi-rack clusters into one cabinet. 30 × faster trillion-parameter LLM inference than Hopper, cutting P99 latency to < 50 ms and shrinking TCO.

GB300 NVL72
(GA 2025 Q2)

What It Delivers

  • New FP4/FP8 Transformer Engines → 1.4 EFLOPSreasoning throughput  
  • 40 TB HBM3e per rack keeps GPT-4-class checkpoints fully in-memory  
  • On-board ConnectX-8 800 Gb/s SuperNICs double east-west bandwidth

Why It Matters for Your Workloads

  • Turns every rack into an “AI factory.” Delivers 50 × more inference tokens/s vs. Hopper and supports hundreds of concurrent model variants without I/O stalls.

GB Next
(Rubin family, preview Q4 2025)

What It Delivers

  • Target > 2 EFLOPS per rack with HBM4e
  • NVLink 6 Fusion optical fabric + 1.6 Tb/s photonic switching
  • Concept NVL576 racks up to 600 kWand 150 TB unified memory

Why It Matters for Your Workloads

  • Future-proof runway. Optical links double bandwidth while halving transceiver power, enabling next-gen multi-modal and agentic AI models at exa-scale.

What Sets Our AI Cloud Apart

Exascale in a Cabinet

A single GB200 or GB300 NVL72 delivers petaflop-class performance and trillion-parameter LLM capability inside one liquid-cooled rack, collapsing multi-rack footprints into a 120 kW envelope while holding PUE < 1.15. 

40 TB Unified Memory Landscape

GB300’s 40 TB HBM3e pool keeps entire GPT-4-scale checkpoints resident on-GPU, eliminating I/O stalls and sustaining micro-batch training and real-time inference in the same cluster. 

Ultra-Low-Latency Fabric

Fifth-generation NVLink moves data at 130 TB/s within the rack; out-of-rack hops traverse 800 Gb/s Quantum-X InfiniBand with ECN-PFC lossless transport, sustaining sub-50 ms P99 inference under burst loads. 

Optical NVLink on the Horizon

GB Next introduces NVLink 6 Fusion with integrated silicon-photonics, doubling link bandwidth and cutting transceiver power >50 %. Our roadmap ensures a seamless uplift path as Rubin racks arrive in 2026. 

Kubernetes-Native AI Fabric

Clusters are provisioned as GPU-aware K8s namespaces with:

Kubeflow + MLflow pipelines for automated data ingestion, training, and canary rollouts

TensorRT, Triton, ONNX Runtime services auto-scaled via HPA for inference

GitOps CD and policy-as-code Gatekeeper for repeatable, compliant deployments

Zero-Trust, Three-Nine Availability

Hardware-rooted attestation, mTLS everywhere, and BlueField DPUs enforce micro-segmented RoCE traffic while multi-zone replicas and predictive failure analytics sustain ≥ 99.9 % SLA.

Sustainable Density

Rack-integrated cold-plate loops and carbon-aware schedulers shift non-critical jobs to renewable peaks, driving energy savings of 18 % versus traditional GPU clouds.

Ready for the Next AI Epoch

Skyvault’s AI Cloud couples Grace-Blackwell GB200, GB300, and forthcoming GB Next silicon with a rigorously engineered software stack, giving enterprises an immediate runway to exascale AI—and a clear upgrade path as optical NVLink racks arrive. Deploy, train, and serve the world’s most demanding models on the industry’s most advanced GPU platform—today and tomorrow.