Drshym is Ureka AI's observability platform for the complete AI infrastructure stack, from tensor cores and kernels to clusters, racks, power systems, cooling plants, and datacenter operations.
Illustrative product view — sample data, not a live customer environment.
Drshym correlates hardware counters, runtime signals, model behavior, cluster state, physical infrastructure, and business outcomes in one system of record.
See how the silicon behaves under real production workloads.
Connect infrastructure behavior to model execution and serving quality.
Understand coordination across nodes, fabrics, storage and control planes.
Relate digital workloads to the physical systems keeping them alive.
Drshym reads counters natively across accelerator vendors and correlates them in one schema — no per-vendor dashboards to reconcile.
Illustrative data across all panels — sample values, not a live customer environment.
Drshym captures high-frequency counters, distributed traces, events, topology, environmental state, and historical context without losing their relationships.
Drshym maps workload demand through compute, network, electrical, thermal, and facility domains to explain root causes instead of isolated symptoms.
Trace a request through model execution, scheduling, kernels, memory, fabric, and accelerator behavior.
Connect GPU demand to power delivery, cooling response, electrical constraints, and campus efficiency.
Drshym supports the full operational cycle, from high-resolution telemetry collection to anomaly explanation, capacity forecasting, and policy-aware recommendations.
Collect counters, traces, logs, events, topology and facility telemetry.
Join model, software, hardware and physical signals in time and space.
Identify causal chains behind latency, failures, thermal drift and wasted capacity.
Forecast SLA risk, component degradation, power excursions and cooling constraints.
Recommend changes to placement, power, clocks, batching, cooling and capacity plans.
Drshym converts thousands of low-level signals into explainable incidents with blast radius, evidence, timeline, and recommended response.
Sample alert feed and incident walkthrough — illustrative, not a live customer environment.
From the smallest signal to the largest infrastructure decision.