Self-host Magistral on dedicated GPU clusters
Run Mistral's models on bare-metal Kubernetes in EU data centers. Your data never leaves your infrastructure.
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Use Cases
Compare contract clauses vs policy baseline
Compare incoming contracts against your approved clause baseline before a reviewer opens the file. Magistral reasons across the packet, surfaces meaningful deviations with evidence, and produces a reviewer-ready memo instead of a raw extraction dump.
Keep clause libraries, fallback language, and reviewer notes versioned inside the same boundary so every comparison runs against the same legal baseline.
Compare invoice vs PO vs goods receipt
Reconcile invoice, PO, and goods receipt packets before payment approval. Magistral reasons over quantities, tolerances, and conflicting line items so AP teams receive a grounded exception record rather than another spreadsheet to inspect by hand.
Run the model against the same ERP exports and tolerance tables finance already trusts. Uncertain rows should leave the pipeline as explicit exceptions, not silent guesses.
Create reviewer-ready exception packets with linked evidence
When submitted forms, attachments, or scans disagree, Magistral can assemble the conflict into one reviewer-ready packet with linked evidence and a clear reason for escalation. The model does the first analytical pass so people spend time on the actual exception instead of reconstructing the case.
This is strongest when the escalation rubric is explicit and stable. Keep the scoring criteria, policy references, and evidence links inside the same controlled workflow.
Workload fit
Not sure this model fits your use case?
The private LLM study maps 29 workloads across six patterns and shows where each model family fits.
Infrastructure
Looking at the GPU and deployment side?
GPU provider options, deployment architecture, and how we manage the serving layer on Kubernetes.