Hello There!

Welcome to our platform.

GPU infrastructure native

Diagnose, fix, verify.

Purpose-built for GPU infrastructure. Root-cause analysis and remediation across device, fabric, and storage. Problems caught while they're still forming, not just resolved after they land.

Device Fabric Storage
Incident · fabric-07
Resolved
03:14  NCCL timeout — node gpu-14
diag  tracing fabric path…
→ root cause: NIC link flap on switch tor-2 :12
fix  drained port, reset transceiver
✓ verified — collective throughput restored
42s
time to root cause
device · fabric · storage
correlated layers
Member of
NVIDIA Inception Program

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Caladrius finds the root cause across device, fabric, and storage, and drives the fix.

Layer Is it the model or the hardware?

When a job stalls, Caladrius names which layer owns it: model, GPU, fabric, or storage.

Bell Catch it before it breaks.

Surfaces the fail-slow GPU, the thermal drift, the storage node trending hot, with the action to take.

Clock The fix, not just the finding.

Drives the fix on your approval, verifies it held, rolls back if it didn't.

Eye Your whole fleet, at a glance.

Every rack, node, and GPU, with fabric and storage, in one live view.

Built for your GPU stack. Whoever runs it.

For neocloud operators: attribute and remediate faults across your whole fleet. Less time proving fault, lower cost to serve, and a clear answer for your customers too.

For enterprise AI/ML teams: find the root cause across your own GPU fleet, from the model down to the silicon.

One platform for GPU-infrastructure performance and reliability

See, understand, and resolve issues across the GPU stack, devices, fabric, and storage, in one place.

Root cause across the GPU stack

From a red training job to a degraded storage node or a flapping InfiniBand link, Caladrius traces the failure chain across GPU (XID, ECC, thermal), NVLink, fabric, and storage. Know in seconds whether it's the model, the GPU, the network, or the disk.

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Caladrius AI Core - Root Cause Analysis

Your whole fleet, from GPU to data center

An always-on view of every tenant, rack, node, and GPU, plus the fabric and storage behind them. Utilization, goodput, XID errors, NVLink and InfiniBand health, and storage latency, in real time.

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Fix it small, before the job stalls.

Caladrius doesn't wait for the pager. It surfaces the fail-slow straggler, the GPU drifting hot, the InfiniBand link degrading, and the storage node trending toward trouble, each with the recommended action, before any of it turns into lost goodput.

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LambdaAI
AppDynamics
Integrations

Supported Integrations

Caladrius connects with your existing tools and platforms to provide comprehensive observability across your entire stack.

SplunkObservabilityCloud
ThousandEyes
ServiceDeskPlus

Security and control

How Caladrius runs under your control.
Access you grant

Caladrius acts only within the permissions you set, and you decide what it may recommend and what it may execute.

Attributable by design

Every action Caladrius proposes or takes is logged and attributable.

Tenant-isolated

Scoped views enforce that each customer sees only their own resources.