Purpose-built for frontier AI model training, fine-tuning, large-scale inference, and sovereign AI deployments.
Compute Architecture
Blackwell Ultra + Grace
GPU Architecture
NVIDIA Blackwell Ultra
GPU Count
72 × NVIDIA GB300
NVLink Domain
Full NVL72 coherent fabric
GPU Memory
13.5 TB HBM3e
CPU Architecture
NVIDIA Grace · Arm Neoverse V2
CPU Count
36 Grace CPUs · 2,592 cores
Unified Memory
17+ TB (GPU + CPU, coherent)
Operating System
Ubuntu 24.04 LTS
Networking & AI Fabric
Quantum-X800 InfiniBand
AI Fabric
NVIDIA Quantum-X800 InfiniBand
Fabric Bandwidth
800 Gb/s per GPU
Fabric Configuration
4-Rail InfiniBand
East-West Latency
Ultra-low-latency GPU-to-GPU
Data Processing Unit
NVIDIA BlueField-3
North-South Uplink
200G / 400G Ethernet
Multi-Rack Scalability
Supported
Multi-Site Federation
AboveCloud™
Frontier Model Training
Multi-trillion-parameter foundation model runs
AI Labs · Research Institutions
Enterprise Fine-Tuning
Domain-adapted models for production deployment
Enterprise AI Teams
Production Inference
High-throughput, latency-sensitive serving
SaaS · API Providers
Agentic AI
Multi-agent orchestration and reasoning systems
Enterprise Software
Digital Twins
Industrial and geospatial simulation at scale
Manufacturing · Energy
Physical AI / Robotics
Autonomous systems training and simulation
Robotics · Automotive
Sovereign AI
Dedicated national or enterprise AI environments
Government · Regulated Industries
HPC / Scientific Computing
AI-HPC convergence workloads
Life Sciences · National Labs
CORTEX™
ABOVECLOUD™
24×7 NOC
REST · Terraform






