DDN Infinia: The Platform for End-to-End AI
Eliminate data bottlenecks and move AI from experimentation to production.
Trusted By:
Built for Production AI Economics
Infinia is an AI data engine that orchestrates data within distributed AI environments, maximizing GPU utilization and delivering real-time inference and RAG at scale. It eliminates data bottlenecks that slow production AI by unifying fragmented data silos into a single, high-performance data pipeline that provides ultra-low latency access to data. Built on decades of HPC innovation, Infinia helps you maximize GPU utilization, reduce infrastructure cost, and move AI from experimentation to production.
Dramatically lower cost per token with KV Cache acceleration, so AI can scale financially.
AI is ultimately energy-bound. Maximize tokens per watt to scale economically and sustainably.
Delight customers with real-time retrieval pipelines, eliminating latency and reducing infrastructure overhead at scale.
Accelerate real-time AI and data access by dramatically reducing latency for faster responses and seamless data delivery at scale.
What Customers Are Saying
Challenges
Why Production AI Pipelines Fail and How Infinia Fixes Them
Most AI infrastructure was built on storage that was not designed for real-time inference or RAG. As data grows and pipelines get more complex, that mismatch breaks production AI. Infinia solves these challenges with an AI data intelligence platform that unifies distributed data and delivers deterministic performance, intelligent data orchestration, and real-time access across the full AI lifecycle.
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Idle GPUs:
GPUs sitting idle waiting for data. -
Slow Retrieval:
Slow retrieval in RAG pipelines. -
Data Silos:
Fragmented data silos across cloud, edge, and core. -
Unpredictable Latency:
Latency spikes that break real-time applications.
Metadata-Driven AI Data Platform
Unifies structured, semi-structured, and unstructured data into a single platform with high-speed metadata indexing, enabling instant search, filtering, and retrieval across massive datasets.
Unified Data from Edge to Cloud
Orchestrates data across core, cloud, and edge environments with intelligent placement and movement, reducing cost, eliminating silos, and ensuring data is always where it is needed.
High-Performance KV Store and KV Cache
Keeps embeddings, vectors, and inference state close to compute, reducing latency and improving efficiency for production AI workloads.
Enterprise-Scale Multi-Tenancy
Securely isolate workloads, manage QoS, and support multi-tenant environments at scale, enabling AI-as-a-service and shared infrastructure without performance tradeoffs.
Multi-Protocol Access on One Namespace
Native S3 and POSIX file access on a single platform, so object and file workloads run against the same data without copies or separate infrastructure.
Your Data Should Drive Results, Not Limit Them
Use Cases
Enterprise RAG
Turn retrieval from seconds into milliseconds. Infinia accelerates RAG pipelines, enabling real-time applications, reducing infrastructure cost, and improving user experience.
Scalable LLM Inference
Serve large-scale models with consistent, low-latency data access. Infinia maximizes GPU efficiency and reduces response times for production AI systems.
Sovereign AI
Deploy secure sovereign AI with full control over data, infrastructure, and governance without compromising performance at scale.
Real-Time Analytics
Replace batch-based systems with real-time data pipelines. Infinia enables faster insights, reduces infrastructure complexity, and supports modern AI-driven analytics.
Turn AI Infrastructure into Production Systems
Eliminate data bottlenecks, maximize GPU utilization, and bring AI into real-world production. Infinia delivers the performance, predictability, and economics required to scale AI successfully.
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Contact an AI Infrastructure Expert
We’re here to help you with all your AI data needs. Reach out to our team of experts for personalized support, inquiries, and solutions tailored to your specific requirements.
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