VDURA has announced the launch of its first scalable AMD Instinct™ GPU reference architecture in collaboration with AMD. The new validated blueprint defines how compute, storage and networking should be configured for efficient, repeatable large-scale GPU implementations. The design combines the VDURA V5000 storage platform with AMD Instinct™ MI300 Series Accelerators to eliminate performance bottlenecks and simplify deployment for the most demanding AI and high-performance computing (HPC) environments.
AI and HPC pipelines are increasingly limited by storage that cannot keep pace with growing data volumes. This slows GPU utilization, increases energy costs and reduces overall efficiency. The new reference architecture is engineered to keep AMD Instinct™ GPUs fully utilized, delivering sustained performance with a design that is efficient, expandable and simple to operate.
Following a technical evaluation, AMD selected VDURA for its AMD Instinct™ GPU-optimized performance, low client overhead and proven ability to scale. The solution has already been chosen for a U.S. federal systems integrator AI supercluster, demonstrating its readiness for mission-critical workloads.
The reference architecture provides compute, storage and networking at scale. It supports 256 AMD Instinct™ GPUs per scalable unit, achieves throughput of up to 1.4 TB/s and 45 million IOPS in an all-flash layout, and delivers around 5 PB of usable capacity in a 3 Director and 6 V5000 node configuration. Data durability is assured through multi-level erasure coding, while networking options include dual-plane 400 GbE and optional NDR/NDR200 InfiniBand.
Built to grow with demand, the modular design allows organizations to add Director Nodes for extra performance, expand with all-flash storage for more bandwidth, or combine flash and HDD capacity for cost-effective growth, all within a single namespace.
For further information, the full 20-page architecture reference guide is available for download at: https://www.vdura.com/wp-content/uploads/2025/07/VDURA_AMD_AI_Reference-Architecture-2.pdf
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VDURA and AMD Launch Scalable Reference Architecture for AI and HPC
VDURA has announced the launch of its first scalable AMD Instinct™ GPU reference architecture in collaboration with AMD. The new validated blueprint defines how compute, storage and networking should be configured for efficient, repeatable large-scale GPU implementations. The design combines the VDURA V5000 storage platform with AMD Instinct™ MI300 Series Accelerators to eliminate performance bottlenecks and simplify deployment for the most demanding AI and high-performance computing (HPC) environments.
AI and HPC pipelines are increasingly limited by storage that cannot keep pace with growing data volumes. This slows GPU utilization, increases energy costs and reduces overall efficiency. The new reference architecture is engineered to keep AMD Instinct™ GPUs fully utilized, delivering sustained performance with a design that is efficient, expandable and simple to operate.
Following a technical evaluation, AMD selected VDURA for its AMD Instinct™ GPU-optimized performance, low client overhead and proven ability to scale. The solution has already been chosen for a U.S. federal systems integrator AI supercluster, demonstrating its readiness for mission-critical workloads.
The reference architecture provides compute, storage and networking at scale. It supports 256 AMD Instinct™ GPUs per scalable unit, achieves throughput of up to 1.4 TB/s and 45 million IOPS in an all-flash layout, and delivers around 5 PB of usable capacity in a 3 Director and 6 V5000 node configuration. Data durability is assured through multi-level erasure coding, while networking options include dual-plane 400 GbE and optional NDR/NDR200 InfiniBand.
Built to grow with demand, the modular design allows organizations to add Director Nodes for extra performance, expand with all-flash storage for more bandwidth, or combine flash and HDD capacity for cost-effective growth, all within a single namespace.
For further information, the full 20-page architecture reference guide is available for download at: https://www.vdura.com/wp-content/uploads/2025/07/VDURA_AMD_AI_Reference-Architecture-2.pdf
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This entry was posted on September 16, 2025 at 9:00 am and is filed under Commentary with tags VDURA. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.