A new standard in data processing and AI infrastructure
Data processing is the largest compute domain that has no custom hardware acceleration
AI has GPUs, Network processing has purpose-built silicon, But the ETL pipelines, feature engineering workflows, and Spark jobs that power every serious data organization? They still run on general-purpose CPUs.
Fusing together two disciplines that rarely meet, DualBird bridges the gap with FPGA-based acceleration.
Demand for data processing is growing faster than compute capacity. Software optimization alone cannot breach that gap.
AI model training and agents' data-access patterns are increasing the demand for data processing. General-purpose CPUs can efficiently support the growth in ETL pipelines, feature engineering, analytics, and retrieval workloads.
DualBird brings custom FPGA acceleration to Spark, running inside standard AWS cloud instances. No infrastructure changes. No code changes.
Just hardware-level performance through a drop-in Spark plugin
Transform your data infrastructure performance with a few clicks
Zero risk, zero effort, incredible results.