The AI between
your compute and your power.
AURA orchestrates compute, power, and cooling as a single system. It's why SmartTec can hit tokens-per-watt numbers that isolated GPU clouds can't.
The grid is the bottleneck.
The data backs it up.
Real numbers from real sources. This is why AURA exists.
of AI data centers power-constrained by 2027
lost in a single NoVA grid event — 60 data centers dropped simultaneously
data center power demand growth 2024 → 2026
annual power needed for AI servers by 2027 (2.6× the 2023 baseline)
The silicon under AURA.
Verified specs from primary sources. Both chips are in production today.
Blackwell GB200 NVL72
36 Grace CPUs + 72 Blackwell GPUs per liquid-cooled rack. 30× real-time speedup for trillion-parameter LLM inference. General availability across AWS, Azure, GCP, OCI, CoreWeave.
CS-3 wafer-scale system
WSE-3 chip: 4 trillion transistors, 900k AI cores, 44GB on-wafer SRAM, 21 PB/s memory bandwidth. AWS Bedrock deployment announced March 2026, rollout underway. OpenAI and AWS are anchor customers.
What AURA does.
Predictive load positioning
Reserves pre-charged capacity 72 hours before demand peaks. AURA correlates weather, GPU workload patterns, and historical load.
Tokens-per-watt tuning
AURA continuously rebalances compute and cooling for the best performance per megawatt. The metric that matters in 2026.
Sub-10ms failover
Automatic routing across redundant battery banks. Your compute keeps running through grid events that would shut down a hyperscaler.
Cell-level anomaly detection
Catches anomalies 14 days before they become incidents. Predictive, not reactive.
Workload-aware cooling
AI-managed liquid cooling that maintains cell temperatures within 2°C variance. 40% longer cycle life vs. passive systems.
Real-time fleet telemetry
Sub-second telemetry across every battery, every compute node, every cooling loop. One unified telemetry plane.