Stand up ingestion, scheduling, deployment, and guardrails for every LLM, GNN, and agent fleet in days not months trapped in platform ticket queues.
QARK–Ops merges ingestion flows, ready-to-deploy catalogs, and adaptive schedulers. You describe the workload; QARK–Ops orchestrates the streaming fabric via Muon, enforces runtime policy, and keeps budgets in range.
Ingests MQTT, Kafka, SQL/NoSQL, and data-lake streams with deterministic ordering and schema-on-write.
Curated shelves of LLMs, GNNs, and RAG stacks signed, versioned, and ready to deploy with a single click.
Predictive autoscaling tunes GPU/TPU pools per workload, slashing idle burn while meeting latency SLOs.
Global Assistants
Finance copilots
Research cluster
Plug in Muon modules as needed or ship the full stack for ingestion, orchestration, and runtime assurance.
Muon sidecars normalize telemetry across OT/IT protocols, apply policy filters, and feed feature stores in under 50 ms.
Intent-based runbooks translate SLOs into GPU/TPU scaling, placement, and memory partitioning actions.
Run the same control plane across hyperscale, sovereign govcloud, and on-prem clusters with cryptographic attestation.
MLOps/LLMOps teams ship faster when every model, evaluation, and rollout template is pre-packaged.
Frontier APIs and sovereign open-weight checkpoints with prebuilt eval suites (toxicity, jailbreak, latency).
Finance, healthcare, defence, and manufacturing templates spanning prompts, guardrails, and cost baselines.
Ready-to-deploy redaction, policy, and safety adapters that attach to any model catalog entry.
Promote a catalogued model to staging or prod with signed approvals and automatic rollback snapshots.
CI/CD hooks rerun regression suites, compare metrics, and block rollout if guardrails regress.
Each template ships with dashboards, alerts, and cost monitors so ops teams don’t start from zero.
Measure what matters to finance, engineering, and compliance on a single dashboard.
How customers deploy QARK–Ops to keep AI programs reliable and under budget.
Contact-centre copilots get burstable GPUs, latency guarantees, and instant rollback when new prompts regress CSAT.
Streaming sensors feed Muon, while QARK–Ops orchestrates GNNs that drive predictive maintenance across plants.
Sovereign deployments inherit the same scaling fabric, but with mission air-gap controls and policy attestations.
Pre-built connectors for Snowflake, Databricks, ServiceNow, SAP, and defence-grade networks.
Declarative YAML/JSON runbooks stored in Git, synced automatically to QARK–Ops environments.
Engineering, data, and risk teams collaborate on the same dashboards with role-based controls.