MangoBoost, a provider of cutting-edge system solutions for maximizing compute efficiency and scalability, has delivered record-breaking performance in the latest MLPerf Storage v2.0 with its Mango StorageBoost™ solution. This achievement marks a major milestone for DPU-accelerated NVMe/TCP storage systems, showcasing industry-leading performance, efficiency, and scalability for AI training workloads.

MangoBoost’s submission, comprising the Mango StorageBoost™ NVMe/TCP Initiator (NTI) and Target (NTT), demonstrated line-rate throughput over a 400G Ethernet fabric, providing near-local SSD performance for distributed AI workloads such as 3D-UNet on both NVIDIA A100 and H100 GPUs.

Best-in-Class Results Across the Board

In MLPerf Storage v2.0’s Fabric-attached Block Storage category, Mango StorageBoost™ delivered:

• 6.2x GPU scalability over alternative solutions for 3D-UNet on A100, and 1.25x to 7.5x on H100
• 1.57x higher throughput per 400G bandwidth on A100 and up to 2.05x on H100
• Near-local SSD performance when compared to local Solidigm D7-PS1030 drives
• Superior performance-to-cost versus NVIDIA’s BlueField-3 DPU, with significantly lower TCO

Unlocking New Possibilities in AI Storage Architecture

MangoBoost’s submission deployed its NTI on the host and NTT on the storage server, connected via a 400G Ethernet switch. This configuration allowed the system to emulate demanding AI workloads across multiple GPUs with near-zero CPU overhead and maximum bandwidth utilization.

Furthermore, MangoBoost’s performance outpaced even BlueField-3 systems running both NVMe/TCP and NVMe/RDMA in equivalent test conditions. The Mango StorageBoost DPU architecture not only outperformed on throughput but also delivered significant reductions in cost of ownership as systems scale.

The Technology Behind the Results

Mango StorageBoost™ consists of three tightly integrated solutions:

• NVMe/TCP Initiator (NTI): Offloads the entire NVMe/TCP stack to hardware, delivering full-duplex line-rate performance with no CPU consumption.
• NVMe/TCP Target (NTT): Fully accelerates TCP/IP and NVMe-oF processing, enabling storage disaggregation over standard Ethernet with zero CPU involvement.
• GPU Storage Boost (GSB): Enables direct DMA transfers between GPU memory and local or remote storage, bypassing CPU and significantly improving I/O efficiency.

Designed for Real-World Deployment

Mango StorageBoost™ offers seamless integration with standard server platforms and GPUs. Its DPU-based architecture ensures maximum performance while reducing CPU utilization and total infrastructure cost. The solution is available today and can be deployed in existing data center environments without modification to hardware or software stacks.

About MangoBoost

MangoBoost is a provider of cutting-edge, full-stack system solutions for maximizing compute efficiency and scalability. At the heart of the solutions is the MangoBoost Data Processing Unit (DPU), which ensures full compatibility with general-purpose GPUs, accelerators, and storage devices, enabling cost-efficient, standardized AI infrastructure. Founded in 2022 on a decade of research, MangoBoost is rapidly expanding its operations in the U.S., Canada, and Korea.

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MangoBoost’s submission, comprising the Mango StorageBoost™ NVMe/TCP Initiator (NTI) and Target (NTT), demonstrated line-rate throughput over a 400G Ethernet fabric, providing near-local SSD performance for distributed AI workloads.