Accelerate Data Processing. Reduce Costs. Create Capacity for AI.
Accelerate what
you already have
Hitachi UDA integrates NVIDIA cuDF acceleration into compatible Spark workloads while maintaining the existing pipeline framework.
Workloads can shift from CPU to GPU acceleration without turning performance optimization into a data-platform re-architecture.
Hitachi Solutions and NVIDIA are working together to accelerate enterprise data processing with NVIDIA cuDF-spark and the Hitachi Unified Data Accelerator (Hitachi UDA). By accelerating compatible Spark workloads on GPUs, organizations can improve the performance and efficiency of existing data pipelines without reworking the underlying pipeline framework.
5.25× Faster
data processing
83% Lower
compute costs
Outcomes you can expect
Keep existing pipelines
Accelerate compatible Spark workloads without reworking the underlying pipeline framework.
GPU-accelerated execution
Use NVIDIA cuDF to accelerate compatible data processing from CPU to GPU.
Create Capacity for AI
Reduce the cost of foundational processing and redirect capacity toward higher-value analytics and AI.
Improved Through Engineering Collaboration
Hitachi Solutions is working directly with NVIDIA to optimize GPU-accelerated data processing and contribute improvements to the NVIDIA cuDF ecosystem, bringing lessons from real-world enterprise workloads back into the technology.
Ready to unlock
more value from your data?
Talk to one of our experts to evaluate the potential performance and cost benefits and explore how Hitachi Unified Data Accelerator can help modernize your data estate and create more capacity for analytics and AI.