With a reduced average enterprise sales cycles from approximately 4.5 months to 2.5 months during the quarter
Providing a unified data foundation for bare-metal compute, GPU infrastructure and distributed AI services
Enabling an AI-powered VMware alternative
Eliminate cost uncertainty and delivery delays with fixed pricing and secured hardware allocations
Adding BeeGFS Copy parallel data staging and proven scalability to 10,000+ nodes, with no new hardware required, and is compatible with any large-scale file system
New data processing architecture that unifies transactions, analytics, streaming, and operational data on a single copy of storage in the lake
Covering any data, structured or unstructured, analytical or operational, inside or outside Databricks
Data management innovator expands regional leadership to help research, cultural and data-intensive organizations address exponential data growth and rising storage costs
And joined AMD
| by Philippe Nicolas
Following Hammerspace and Weka
| by Philippe Nicolas
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