For the first time ever, DDN will be part of the legendary SCinet and Purdue speed race at SC2025, showcasing the unparalleled performance of DDN EXAscaler in a high-stakes demonstration of speed, scale, and efficiency. This is more than a demo—it’s a testament to why DDN is the undisputed leader in AI and HPC storage infrastructure.
Why SCinet Chose DDN
SCinet, the cutting-edge high-performance network built annually by volunteers for the SC conference, is renowned for pushing the limits of networking and storage technology. This year, DDN joins SCinet’s elite lineup because our technology consistently delivers the fastest, most reliable, and most efficient storage solutions in the world. With DDN powering eight out of ten SCinet-connected data centers, our inclusion is recognition of a legacy built on proven IO500 dominance.
Leading the Pack with IO500
The IO500 benchmark is the gold standard for assessing real-world storage performance in AI and HPC workloads. Unlike synthetic tests, IO500 evaluates how infrastructure performs under realistic, demanding conditions—mixed workloads, heavy metadata, random I/O, and concurrent tasks—the exact challenges faced by AI and HPC applications every day.
DDN doesn’t just perform well; we dominate:
- 7 of the top 10 spots in the IO500 10-client production benchmark
- Up to 11x better performance than competitors like VAST and Weka across real-world workloads
- Massive gains in GPU utilization, bandwidth, and metadata handling
As one industry leader put it:
“Capturing 7 of 10 spots in the 10-client production list is more than a technical achievement—it’s proof that leading enterprises count on DDN to deliver the speed, scale, and reliability needed to turn data into competitive advantage.”
Real-World Impact
DDN’s performance isn’t just about benchmarks—it drives measurable results for enterprises and research institutions:
- Financial services: A U.S. hedge fund cut fraud detection latency by 70% and tripled algorithm development speed.
- Life sciences: Genomics pipelines at TGen reduced runtime from 12 hours to under 2 hours, boosting productivity and slashing compute costs by 80%.
- Sovereign AI: National defense programs sustained 2TB/s of data flow during simultaneous model training and ingestion.
- Supercomputing centers: Institutions like CINECA and Helmholtz Munich maximize GPU utilization and cluster efficiency, enabling more workloads per cluster and lowering both CapEx and OpEx.
Built for AI and HPC
DDN EXAscaler isn’t retrofitted—it’s engineered for GPU-intensive, metadata-heavy, and bandwidth-hungry workloads:
- Blistering multi-terabyte bandwidth proven at massive scale
- Intelligent pipeline-aware tiering for maximum GPU utilization
- Native parallelism and metadata handling optimized for AI workloads
- Enterprise-grade resilience trusted by NVIDIA, HPE, Dell, Lenovo, and more
Why This Matters for You
If your work relies on AI, HPC, or GPU acceleration, every second counts. DDN ensures maximum GPU efficiency, fastest time from data to insight, and scalable performance you can trust. IO500 proves that DDN doesn’t just lead the pack—we’ve left it behind entirely.
At SC2026, visitors will witness DDN EXAscaler in action during the SCinet x Purdue speed race, demonstrating real-time, high-performance data access at the scale and speed demanded by today’s AI and HPC applications.
Don’t settle for theoretical performance. Demand the infrastructure that delivers measurable results. Demand DDN.
