The Power Behind Next-Gen AI Clouds

TuringData empowers cloud service providers to deliver next-generation AI and HPC performance with simplicity and scale. Our high-performance data platform is engineered for the most demanding AI workloads—combining ultra-fast throughput, linear scalability, and intelligent data management. With TuringData, cloud providers can accelerate innovation, optimize GPU utilization, and build a future-ready AI cloud that runs without limits.

TuringData Driving The NeoCloud Era For AI Workloads

The AI revolution is creating unprecedented opportunities for Cloud Service Providers (CSPs) to deliver GPU-powered solutions for enterprises, governments, and research institutions. Yet, traditional storage systems often struggle to meet the demands of multi-tenancy, enterprise-grade security, and reliable performance—essential for robust, cloud-scale AI services.

TuringData NeoCloud addresses these challenges with a unified, intelligent storage platform designed for the AI era. It combines secure multi-tenancy, AI-optimized performance at scale, and support for both training and inference in a single cluster. Its Elastic Data Network ensures seamless integration across heterogeneous networks, while granular QoS controls guarantee efficiency without impacting tenant workloads. Leveraging all-flash storage at cost-effective economics, TuringData enables CSPs to deploy high-performance, scalable infrastructure with simplified operations and maximum uptime.

With TuringData, cloud providers can focus on delivering cutting-edge AI services with unmatched speed, flexibility, and reliability, powering the modern AI-driven world.

Why Choose TuringData for Specialized Cloud Service Providers

Secure Multi-Tenancy with Enterprise-Level Isolation

TuringData delivers fine-grained, enterprise-level multi-tenant management tailored for AI and GPU cloud environments. Each tenant operates within its own isolated namespace with independent encryption keys, ensuring data privacy, consistent performance, and secure operations across shared, large-scale GPU cloud infrastructures.

Eliminate Network Congestion in Large-Scale GPU Clusters

TuringData’s advanced network optimization technology addresses the industry-wide challenge of network congestion during large-scale, concurrent GPU workloads. By intelligently balancing data traffic and minimizing bottlenecks, it boosts overall bandwidth utilization by over 50%, ensuring stable, high-speed data access for intensive AI training and inference tasks.

Unified Infrastructure for Training and Inference

TuringData’s intelligent storage cluster supports both AI training and inference within a single architecture. This unified design eliminates data silos, reduces operational complexity, and ensures seamless compatibility with GPU-accelerated workloads, helping providers deliver AI services consistently and efficiently.

Granular Quality of Service (QoS) Control

TuringData enables cloud providers to define fine-grained QoS policies and intelligent quotas, ensuring that resources are efficiently allocated and no tenant’s workload affects another. This capability allows for highly customized service offerings while maintaining peak cluster performance.

Start from Only 3 Nodes – Simple and Cost-Efficient

TuringData enables users to deploy a fully functional storage cluster starting from just 3 nodes, significantly lowering the entry barrier for building high-performance AI infrastructure. This flexible scaling model reduces initial investment and ongoing operational costs, allowing organizations to expand seamlessly as their workloads grow.

Secure Multi-Tenancy with Enterprise-Level Isolation

TuringData delivers fine-grained, enterprise-level multi-tenant management tailored for AI and GPU cloud environments. Each tenant operates within its own isolated namespace with independent encryption keys, ensuring data privacy, consistent performance, and secure operations across shared, large-scale GPU cloud infrastructures.

Eliminate Network Congestion in Large-Scale GPU Clusters

TuringData’s advanced network optimization technology addresses the industry-wide challenge of network congestion during large-scale, concurrent GPU workloads. By intelligently balancing data traffic and minimizing bottlenecks, it boosts overall bandwidth utilization by over 50%, ensuring stable, high-speed data access for intensive AI training and inference tasks.

Unified Infrastructure for Training and Inference

TuringData’s intelligent storage cluster supports both AI training and inference within a single architecture. This unified design eliminates data silos, reduces operational complexity, and ensures seamless compatibility with GPU-accelerated workloads, helping providers deliver AI services consistently and efficiently.

Granular Quality of Service (QoS) Control

TuringData enables cloud providers to define fine-grained QoS policies and intelligent quotas, ensuring that resources are efficiently allocated and no tenant’s workload affects another. This capability allows for highly customized service offerings while maintaining peak cluster performance.

Start from Only 3 Nodes – Simple and Cost-Efficient

TuringData enables users to deploy a fully functional storage cluster starting from just 3 nodes, significantly lowering the entry barrier for building high-performance AI infrastructure. This flexible scaling model reduces initial investment and ongoing operational costs, allowing organizations to expand seamlessly as their workloads grow.

Join TuringData in Shaping

the Future of AI Cloud

GPU Cloud providers that adopt an AI-first infrastructure gain a decisive edge in the market. TuringData simplifies the delivery of high-performance AI workloads, freeing you from unnecessary technical complexity.Download the Solution Brief

AI Moves Fast—So Should You
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