The Analytics Acceleration Blog

RTL is crown-jewel IP, hardware assigns concurrently not sequentially, and most enterprise GenAI pilots are failing. The software AI playbook doesn't transfer to chip design — the training data isn't there, the semantics don't map. Here's what it actually takes to embed AI into chip development workflows.

As technology advances at a staggering pace, the world is bracing for a multi-trillion-dollar economic transformation unlike anything we’ve seen before. At the center of this shift is the rise of intelligent systems, along with the massive compute infrastructure required to power them. These systems mark a real break from the technological rules we’ve grown used to - they don’t run on compute alone, but on a three-part foundation of compute, intelligence, and data. You don’t

CPUs and GPUs weren't built for analytics at scale. See how purpose-built processors for analytics workloads delivers 11x faster Apache Spark performance, with real results from pharma and adtech deployments, and a free Workload Analyzer to test against your own jobs.