DualBird is offering a cloud native offering using programmable silicon (FPGA's) on the back end to change the actual physics of the problem.
Published
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Products & Services
Quote
“DualBird is flipping the script and changing the actual physics of the problem by using programmable silicon (FPGA's) on the back end, but doing so in an entirely cloud native offering.”
— Sydney Arthur|DualBird team
Company
- Company size
- 33 employees
DualBird is building the future of data infrastructure for AI, bringing cloud-native hardware acceleration to data processing. Our first product accelerates Apache Spark and Iceberg workloads on AWS by 10-30x while reducing cloud costs by 50%-90% and eliminating manual performance tuning and calibration. Our acceleration operates seamlessly under existing Spark deployments such as Amazon EMR or Spark on EKS, requiring no framework migration, code changes, or configuration tuning. Built by veterans of AWS, Databricks, NVIDIA, and leading semiconductor companies, and backed by Lightspeed, Bessemer and others, we're bringing hardware acceleration to the largest compute domain that still runs on general-purpose CPUs.