TuringData Platform

Do More with Less: Fastest I/O for AI & HPC with Minimal Nodes

Accelerate and simplify your entire AI data pipeline with fewer storage nodes

driving innovation and unlocking the full value of your data faster.

Faster Training

Smarter Inference

Greater Business Outcomes

AI, HPC, and other data-intensive workloads require scalable, high-performance storage across hundreds of nodes and large-scale datasets. Built on a software-defined architecture, TuringData Platform delivers world-leading performance with ultra-low latency and high throughput, maximizing GPU utilization for faster AI-driven results.
The Most Powerful AI Storage, Ever

AI-Optimized Performance

TuringData Platform delivers microsecond latency and ultra-high throughput at exabyte scale. With scalable metadata management and advanced I/O optimizations, it overcomes the challenges of managing millions of small files. Combined with all-flash architecture, TuringData achieves unmatched speed and efficiency — delivering up to 480 GB/s bandwidth and 7.5 million IOPS with just 3 nodes.

Deploy Anywhere, Anytime

TuringData offers maximum deployment flexibility, giving you the freedom to run it anywhere—on bare metal, on-premises, in private or public clouds, or across hybrid and multi-cloud environments. No matter your infrastructure choice, TuringData adapts seamlessly to deliver consistent performance and scalability.

Training and Inference on a Single Storage Cluster

TuringData Platform’s Elastic Data Network enables a single storage cluster to support multiple network planes simultaneously, powering both AI model training and inference. Coupled with Elastic Context Fabric, it breaks the memory wall and provides a petabyte-scale shared KVCache storage pool.

Traffic Balancer for Large-Scale GPU Clusters

In large-scale GPU clusters, TuringData Platform eliminates traffic hotspots and network bottlenecks caused by multiple nodes concurrently accessing a single storage target, ensuring smooth and efficient data flow.

Essential Features to Streamline AI Data Workflows

Software-Defined, Scale-out Architecture

Deploys anywhere on a software-defined, scale-out architecture — starting from just three nodes — with top performance and on-demand scalability.

Support Multi-Tenant Applications

TuringData Platform enables multi-tenant deployments by providing directory-based QoS and quota controls, allowing each user or team to have guaranteed performance and storage capacity while sharing the same cluster.

Unify File and Object Storage

Seamlessly integrates file and object storage, enabling efficient data movement, bidirectional access, and both incremental and full data transfers across local and cloud environments.

RDMA Networking

Supports 100/200/400 GbE RoCE and 200/400 Gbps InfiniBand high-speed networks, ensuring ultra-fast data transfers.

Elastic Data Network

With Elastic Data Network, TuringData Platform enables a single storage cluster to support multiple network planes while concurrently running AI training and inference.

Smart Tiering

Automatically offloads cold data to object storage with standard file access, while keeping hot data on NVMe for consistently best performance.

Software-Defined, Scale-out Architecture

Deploys anywhere on a software-defined, scale-out architecture — starting from just three nodes — with top performance and on-demand scalability.

Support Multi-Tenant Applications

TuringData Platform enables multi-tenant deployments by providing directory-based QoS and quota controls, allowing each user or team to have guaranteed performance and storage capacity while sharing the same cluster.

Unify File and Object Storage

Seamlessly integrates file and object storage, enabling efficient data movement, bidirectional access, and both incremental and full data transfers across local and cloud environments.

RDMA Networking

Supports 100/200/400 GbE RoCE and 200/400 Gbps InfiniBand high-speed networks, ensuring ultra-fast data transfers.

Elastic Data Network

With Elastic Data Network, TuringData Platform enables a single storage cluster to support multiple network planes while concurrently running AI training and inference.

Smart Tiering

Automatically offloads cold data to object storage with standard file access, while keeping hot data on NVMe for consistently best performance.

Cost-Effective Beyond Your Expectations
How many nodes are needed to get started — 6? 8? TuringData requires only 3. With just 3 nodes, you can deploy fully functional operations and scale flexibly as your business grows, enjoying total cost of ownership (TCO) advantages far beyond your competitors.

AI Moves Fast—So Should You
Start with TuringData Today