AI exposes infrastructure limits.
Data lag degrades model accuracy and decision quality.
Costs become volatile under sustained load.
Fragile pipelines stall AI systems.
High‑velocity data overwhelms traditional stacks:
Manufacturing
Historians weren’t built for modern analytics:
limited computation, no scalability, no high-resolution data.
Petabyte-ready velocity.
Finance
Warehouses choke on billions of daily trades and quotes.
Costly Pipelines
up to 10–20× compression & upstream ingest.
Simulation
Petabyte-scale outputs overwhelm storage and pipelines.
Lack of Flexibility
SQL-native + distributed computing.
Where do I sit in your stack ?
The Quasar Difference
Quasar defines the operational numerical layer: purpose-built for sustained, high-volume numerical workloads. It delivers deterministic performance and predictable infrastructure economics for AI and advanced analytics.
Traditional stacks were not designed for this class of workload.
Resources & Insights
Case Study
Reducing Unplanned Downtime: How Quasar Helped Georgia-Pacific breakthrough data...
Whitepaper
Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 2)
Whitepaper
Beneath the Surface: A Deep Dive into Quasar’s Real-Time Data Intelligence Platform (Part 1)
Quasar
Infrastructure for AI-Driven Decisions.
Solutions
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