As Elad Sity, CEO and cofounder of NeuroBlade, noted, “while the industry has long relied on CPUs for data preparation, they’ve become a bottleneck — consuming well over 30 percent of the AI pipeline.” NeuroBlade, the Israeli semiconductor startup Sity cofounded, believes the answer lies in a new category of hardware specifically designed to accelerate data analytics. Their Analytics Accelerator isn’t just a faster CPU — it’s fundamentally different architecture purpose-built to handle modern database workloads. NeuroBlade’s Accelerator unlocks the full potential of data analytics platforms by dramatically boosting performance and reducing query times. By offloading operations from the CPU to purpose-built hardware — a process known as pushdown—it increases the compute power of each server, enabling faster processing of large datasets with smaller clusters compared to CPU-only deployments. Purpose-built hardware that boosts each server’s compute power for analytics reduces the need for massive clusters and helps avoid bottlenecks like network overhead, power constraints, and operation complexity. In TPC-H benchmarks — a standard for evaluating decision support systems — Sity noted that the NeuroBlade Accelerator delivers about 4x faster performance than leading vectorized CPU implementations such as Presto-Velox. NeuroBlade’s pitch is that by offloading analytics from CPUs and handing them to dedicated silicon, enterprises can achieve better performance with a fraction of the infrastructure — lowering costs, energy draw and complexity in one move.