DDN

How can your AI infrastructure achieve 10x faster inference and 99% GPU utilization?

NicheDDN provides highly specialized, high-performance data infrastructure solutions engineered to maximize the efficiency and speed of AI and HPC workloads at an enterprise scale.

DDN is a global leader in data intelligence, providing cutting-edge technology and expertise for high-performance data storage and management. Their platforms are purpose-built to meet the demands of intensive AI model training, HPC environments, and real-time AI inference, ensuring maximum GPU utilization and accelerated AI workflows.

Visit DDN

Visit DDN

Key Features:

HyperPOD™ and AI400X3 platforms for accelerated AI model training and HPC.
Inferno for 10x faster AI inference and sub-millisecond response times.
Infinia for end-to-end AI data intelligence, unifying data across core, cloud, and edge.
Horizon AI orchestration platform to transform GPU infrastructure into secure, multi-tenant AI platforms.
EXAScaler parallel file system for high-performance active training workloads.

Pros

Organizations with intensive AI model training and HPC environments needing cutting-edge performance.
Enterprises requiring real-time AI inference with sub-millisecond response times for mission-critical applications.
Cloud service providers and large enterprises looking to operationalize AI-as-a-Service with multi-tenant, revenue-ready AI platforms.

Cons

Solutions are highly specialized for AI and HPC, potentially over-engineered for general data storage.
Requires significant infrastructure investment and expertise for deployment and management.
Focus on enterprise and large-scale deployments, may not be suitable for smaller budgets or teams.

Pricing

enterprise

Categories:

AI Infrastructure Business & Enterprise

Tags:

AI HPC Data Intelligence Storage GPU Acceleration Machine Learning Generative AI Data Analytics Cloud Enterprise

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Quick Decision

Try if: You are a large enterprise, cloud service provider, or research institution with demanding AI and HPC workloads that require extreme performance, scalability, and efficiency from your data infrastructure.

Skip if: You have general-purpose storage needs, a limited budget, or prefer simpler, less specialized data management solutions.

Not for: Small businesses or individuals with basic data storage needs not involving high-performance AI or HPC.; Users seeking simple, off-the-shelf cloud storage solutions without specialized AI acceleration requirements.

Trust Signals

Founded
1998
Users
11,000+ customers
Team Size
large
Funding
$300 million investment from Blackstone

Notable Customers

NVIDIAxAIGoogle CloudJump TradingCore42

Tech Details

Platforms

on-premisecloudedge

Integrations

NVIDIA DGX SuperPODNVIDIA BlueField-3 SuperNICNVIDIA Spectrum-X networkingNVIDIA NIMTrinoSpark

Open Source

Support

Channels

emailphonecustomer support portal

Response Time
24-hour response for email

Company

Name
DDN
Location
Chatsworth, CA, USA

DDN is a global leader in data intelligence, empowering organizations with cutting-edge technology and unmatched expertise in high-performance data infrastructure built for the demands of AI.

FAQ

What is DDN's core offering?

DDN specializes in high-performance data infrastructure and management solutions specifically designed for AI and High-Performance Computing (HPC) workloads. This includes platforms for AI model training, real-time AI inference, and data intelligence.

How does DDN accelerate AI workloads?

DDN accelerates AI workloads through purpose-built platforms like HyperPOD™ and AI400X3 for training, and Inferno for inference, which significantly reduce latency, maximize GPU utilization (up to 99%), and provide high-throughput data access. Their Data Intelligence Platform (Infinia) unifies data across environments to eliminate bottlenecks.

Can DDN solutions be deployed in cloud or hybrid environments?

Yes, DDN solutions are designed for flexible deployment across on-premise, cloud, and edge environments. Products like Infinia unify data across these locations, and Horizon enables operationalizing AI-as-a-Service in various cloud settings, including sovereign AI clouds.

Use Cases

Organizations with intensive AI model training and HPC environments needing cutting-edge performance.
Enterprises requiring real-time AI inference with sub-millisecond response times for mission-critical applications.
Cloud service providers and large enterprises looking to operationalize AI-as-a-Service with multi-tenant, revenue-ready AI platforms.