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What Sets Percona QuickStart Apart

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A clear path to AI-ready PostgreSQL

How we enable AI-ready PostgreSQL

Evaluate AI readiness across performance, configuration, and architecture

Address bottlenecks and inefficiencies before they impact production

Optimize PostgreSQL for scalable AI and vector workloads

Enable critical extensions for production AI use

Prepare your architecture for long-term AI demand

A clear, actionable AI Readiness roadmap

Production-ready PostgreSQL optimized for AI workloads

Measurable performance improvements and benchmarks

Confidence in scalability & stability

Outcomes you can expect

Validated AI extension enablement

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AI-ready PostgreSQL without long-term platform lock-in

Proven path from experimentation to production

Short-term engagements with full SLA coverage

Vendor-neutral expertise across MySQL, PostgreSQL, MongoDB, MariaDB, Redis & Valkey

Measurable results in weeks instead of months of contract ramp-up

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Explore Extended Support

AI-ready PostgreSQL without long-term platform lock-in

What sets a Percona AI Readiness Package apart?

Prepare your PostgreSQL environment for AI and vector workloads with structured, fixed-scope support that doesn’t require proprietary layers or lock-in.

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AI Is Only as Smart as the Database Behind It

Turn PostgreSQL into an AI workhorse 

Enable AI workloads

Validate PostgreSQL readiness for embeddings, semantic search, and vector operations.

Tune for Scale

Adjust PostgreSQL parameters to support high-performance vector queries under real load.

Modernize for AI architecture

Prepare existing deployments for AI-driven workloads using open source extensions.

Stay open by design

Achieve AI readiness without proprietary tooling or closed dependencies.

Support RAG on PostgreSQL

Enable Retrieval-Augmented Generation using pgvector on PostgreSQL, including Aurora deployments.

Get Started today

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Run modern AI workloads on PostgreSQL with a Percona AI Readiness Package. We’ll help your team validate architecture, tune performance, and enable extensions like pgvector and pgvectorscale. 

Proven path from experimentation to production

Performance you can trust for enterprise AI workloads

Open, flexible architecture built for what’s next

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