Scenario builder
Bio loop intervention
Chiller bypassReadyPolicy safe
Algae density1.8xAbsorbing heat
GPU east-3.2CLoad shifted
Grid carbon42gSchedule open
Bio data center intelligence
Operate compute like a living climate system.
Netra coordinates racks, bio-cooling loops, grid signals, and workload priority into one autonomous control layer for sustainable datacenter growth.
Facility OS
Live thermal command
NETRA-09
PUE target
1.08
adaptive facility mode
Water loop reuse
94%
closed algae thermal cycle
Compute shifted
38MW
carbon-aware scheduling
Heat routing map
14 workload migrations queued for cooler racks
North hall
Stable82% load21.4C
Bio loop
Absorbing67% load17.8C
GPU bay
Rebalanced91% load23.1C
VISUAL TWIN ONLINE
Simulation
A control-room bento for decisions before heat becomes risk.
Netra turns facility telemetry into simulated next actions, so operators can compare thermal, water, power, and SLA impact before approval.
Thermal drift forecast
18 min
before rack pressure
Battery dispatch
6.4MWh
reserved for peak shave
Sensor confidence
99.2%
clean telemetry mesh
Operator preview
Shift 12% of non-urgent training jobs into cooler racks.
Heat delta: -3.2CCarbon delta: -18%SLA impact: none
Live Console
Facility actions with visible thermal consequences.
Every recommendation exposes the expected heat, carbon, latency, and risk impact before it reaches production.
Operator note
Moves burstable inference queues while keeping latency under 14ms.
Shift inference traffic into lower heat aisles
Thermal impact
-3.2C
Carbon delta
-18%
Risk level
Low
Platform
One operating layer for power, cooling, and compute intent.
Living thermal model
Netra maps compute heat against bio-reactive cooling capacity, then shifts workloads before waste heat becomes facility drag.
Carbon-aware orchestration
Inference, training, and storage jobs are sequenced around grid intensity, reserve capacity, and latency commitments.
Facility-grade governance
Every automated change is versioned with operator approval paths, policy locks, and exportable audit trails.
Autonomy Lab
Govern autonomy from forecast to rollback.
Netra keeps every facility decision compact, inspectable, and bound to operator policy before autonomous changes reach production systems.
Autonomy runbook
1
Predict rack heat from workload mix
2
Reserve clean power and cooling capacity
3
Apply operator-approved migration plan
4
Verify water, silicon, and SLA impact
Facility twin
Compute hall A82%
Bio reactor bank67%
Battery reserve44%
Network latency12ms
Simulation queue
Compare three facility actions before touching production.
Rebalance GPU eastBest
Increase bio loop flowSafe
Defer storage compactionHold
Bio loop status
Thermal intakeBio loop A17.8CNominal
Rack clusterGPU east91%Shifted
Grid signalZone 442gClean
Water qualityMembrane8.2pHLocked
Bio Cooling
Cooling capacity that learns from biology and operators.
Netra treats algae reactors, membrane exchangers, and traditional chillers as one controllable thermal mesh, balancing resilience with measurable carbon reduction.
Closed-loop water modeling
Rack-level heat prediction
Grid-intensity scheduling
Operator policy simulation
Telemetry
Start assessment Built for teams that cannot trade uptime for sustainability.
Workload placement
Moves non-urgent jobs into lower heat and cleaner grid windows.
Silicon pressure
Tracks thermal throttling risk across GPU, CPU, and storage layers.
Policy guardrails
Keeps autonomy inside reliability, compliance, and energy contracts.
Energy dispatch
Coordinates battery, grid, and renewable contracts against demand.
Testimonials
Operator notes from the sustainable compute floor.
Field notes from facility leaders, compute architects, and reliability teams operating sustainable infrastructure.
Netra gave our facilities and compute teams the same source of truth. We can now shift workloads before thermal pressure becomes an uptime conversation.
MS
Mira Solheim
Director of Sustainable Infrastructure
The bio loop telemetry is practical. Operators see rack heat, membrane status, and policy limits in one place instead of chasing three consoles.
JP
Jonas Patel
Data Center Operations Lead
Autonomy only works when rollback is clear. Netra shows every assumption before applying a facility change, which made adoption much easier.
AK
Ariane Kovacs
VP Platform Reliability
We finally connect carbon signals to actual scheduling decisions. It turns sustainability from a quarterly report into an operating control.
TW
Tomas Weber
Energy Strategy Manager
The workload placement model understands latency and silicon pressure. It reduces heat without treating every training job like a batch queue.
NB
Nadia Brooks
AI Compute Architect
The interface feels designed for repeat operations. Dense, calm, readable, and precise enough for a control room review.
KA
Kenji Arai
Critical Facilities Engineer
Security
Autonomy with an audit trail your facility team can trust.
Every recommendation shows its thermal assumption, carbon signal, workload impact, and rollback path before Netra touches production infrastructure.
SOC-ready change history
Human approval lanes for critical halls
Anomaly isolation for sensors and controllers
Encrypted facility telemetry pipeline