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Designing GPU-Accelerated Query Engines with NVIDIA GQE

30 June 2026 at 17:36
Decorative image.GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advancesβ€”including high bandwidth memory (HBM), NVIDIA...Decorative image.

GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advancesβ€”including high bandwidth memory (HBM), NVIDIA NVLink-C2C, and dedicated decompression engines featured in NVIDIA GB200 NVL4β€”help remove these bottlenecks by increasing effective storage capacity, accelerating data movement between CPUs and GPUs, and speeding data access without consuming…

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Build Your Own Transaction Foundation Model for Financial Intelligence

16 June 2026 at 20:30
Every swipe, transfer, and payment on a modern financial network encodes a pattern of human behavior. Transaction data is one of the richest signals an...

Every swipe, transfer, and payment on a modern financial network encodes a pattern of human behavior. Transaction data is one of the richest signals an enterprise owns. Yet most production use cases for such tabular data still depend on hand-engineered features and rule sets that are brittle, expensive to maintain, and blind to the sequential structure inside a customer history.

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