Karios Atlas Flow
Hypervisor-Native Thermal & Cooling Intelligence
Karios brings you AtlasFlow: the first solution embedding real-time thermal and cooling smarts directly into the hypervisor.
No more bolted-on tools or third-party headaches. It’s zero-touch provisioning that deploys workloads, tunes firmware, and optimizes power and cooling in one seamless flow, sustaining density while slashing waste.
Whether eyeing sustainability goals, battling thermal blind spots, or provisioning edge fleets, AtlasFlow unifies compute and cooling for efficient, secure, and sustainable digital infrastructure at scale.
Hypervisor-Level Cooling Visibility: See It All, From One Pane
Forget fragmented dashboards. AtlasFlow delivers native Iimmersion cooling, IOT sensor, and rack-level insights right inside your hypervisor, alongside VMs, containers, and orchestration tools. Track things like thermal loads, coolant flows, and tank performance in real time, bridging IT and facilities for proactive decisions.
Forget fragmented dashboards. AtlasFlow delivers native Iimmersion cooling, IOT sensor, and rack-level insights right inside your hypervisor, alongside VMs, containers, and orchestration tools. Track things like thermal loads, coolant flows, and tank performance in real time, bridging IT and facilities for proactive decisions.
Smarter Scheduling
Place workloads based on cooling capacity, not guesswork.
Unified Orchestration
Cooling data flows like CPU or memory metrics, zero silos.
Failure Prevention
Spot imbalances early to avoid hot spots and downtime.
Bring Your Own Sensors (BYOS): True Agnostic Integration
Ditch vendor lock-in. AtlasFlow’s BYOS architecture lets you plug in any IoT or industrial sensor, temp probes, vibration monitors, humidity gauges, and map them to racks, loops, or tanks. The hypervisor treats this data as a core resource, fueling HCI workflows without custom hacks.
| Feature | Benefit | Use Case Example |
|---|---|---|
| Universal Sensor Support | Connect off-the-shelf IoT/industrial devices via open protocols | Retrofit legacy racks with affordable Raspberry Pi sensors for edge HCI. |
| Device/Rack Mapping | Pinpoint telemetry to specific assets | Monitor coolant in immersion tanks tied to high-density GPU clusters. |
| Native Hypervisor Ingestion | Cooling data as "first-class" like RAM/CPU | Automate workload migration if a rack's pump shows early wear. |
Seamless Integration with Karios Atlas: Open Standards at the Core
AtlasFlow isn’t isolated, it’s an ingestion engine for Karios Atlas, our DCIM intelligence layer. Stream sensor data into a unified UI or API for compute, thermal, and infra telemetry.
Built on battle-tested open standards, it scales from core datacenters to edge deployments.
| Standard/Integration | Purpose | Impact |
|---|---|---|
| PICMG | Modular IoT for sensor normalization | Onboard diverse edge controllers without proprietary middleware. |
| Redfish | RESTful out-of-band management | Pull rack telemetry into hypervisor for zero-touch HCI provisioning. |
| OpenBMC | Open-source server BMC | Enable remote firmware updates with embedded cooling checks. |
| Intel vPro | Remote telemetry for non-BMC devices | Secure, deep insights for distributed HCI fleets. |
| PiKVM | Low-cost KVM-over-IP | Quick onboarding of SFF/edge nodes with thermal overlays. |
Sustainability & Compliance: Built for Tomorrow's Mandates
In HCI, efficiency isn’t optional, it’s the edge. AtlasFlow ties cooling to key metrics, automating adjustments via power management providing your organization with auditable, real-time tracking, for compliance and audit.
| Metric | Definition | AtlasFlow Optimization |
|---|---|---|
| PUE (Power Usage Effectiveness) | Total datacenter power / IT power (lower = better) | Continuous visibility to balance loads and cut overhead by 20-30%. |
| CUE (Carbon Usage Effectiveness) | CO₂ footprint of operations | Link cooling efficiency to emissions reporting for net-zero goals. |
| WUE (Water Usage Effectiveness) | Water used / kWh of IT load | Real-time immersion tracking to minimize waste in liquid-cooled HCI. |
Predictive Analytics: Failures Caught Before They Hit
Hardware breakdowns? AtlasFlow’s AI runs inside the hypervisor, scanning for precursors based on collected information. Integrated into provisioning workflows, it alerts operations early, protecting workloads and HCI uptime.
Anomaly Detection
Identify issues as prior to failure using AI.
Proactive Alerts
Tie predictions to auto-remediation, like workload shifting.
Business Continuity
Turn risks into routine maintenance wins.
Why AtlasFlow Powers Next-Gen Infrastructure
Silos kill efficiency, IT vs. facilities, compute vs. cooling. AtlasFlow erases them, embedding sustainability and smarts into your hypervisor for:
Thermal-Aware Provisioning
Deploy with full cooling context.
Auditable Green Metrics:
Meet ESG mandates effortlessly.
Zero-Downtime Resilience
Predict and prevent failures at scale.
Cost Savings
No third-party overlays; just integrated HCI intelligence.