DDN and Google Cloud Boost AI Performance with 10TB/s Managed Lustre
Event summary
- DDN and Google Cloud unveiled innovations in Google Cloud Managed Lustre at Google Cloud Next 2026, scaling performance to 10 terabytes per second.
- The collaboration delivers improved throughput, elasticity, and cost efficiency for AI training, inference, and high-performance computing (HPC) workloads.
- Benchmark testing showed a 75% improvement in total inference throughput and a 40% reduction in mean time to first token using Managed Lustre as a shared KV-cache.
- New capabilities include a single, dynamic hot and cold tier for high performance and improved economics.
- Sony Honda Mobility reported a 3x scaling improvement in AI model training for AFEELA Intelligent Drive using Managed Lustre.
The big picture
DDN and Google Cloud's collaboration underscores the growing demand for high-performance, scalable solutions in AI and HPC. The partnership leverages DDN's Lustre expertise and Google Cloud's elastic infrastructure to address the needs of industries ranging from AI and financial services to robotics and advanced research. This development is part of a broader trend towards integrating specialized data platforms with cloud-scale infrastructure to support the full AI lifecycle.
What we're watching
- Adoption Pace
- The pace at which enterprises across industries adopt Google Cloud Managed Lustre for AI and HPC workloads.
- Performance Scaling
- How DDN and Google Cloud sustain and scale the performance improvements beyond the current benchmarks.
- Market Differentiation
- Whether the dynamic hot and cold tier capability will differentiate Managed Lustre from competing tiered storage solutions.
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