Speed Versus Neural Networks
Enterprise data centers are hitting the "Arithmetic Wall." Conventional neural networks rely on dense matrix math, forcing a costly dependency on specialized GPUs and power-heavy accelerators to scale performance.
AltiCoreSWP replaces heavy arithmetic with logic-dominant operator chains. In benchmark evaluations at equivalent accuracy, it delivered 13x to 28x throughput gains on standard CPU speedups, maximizing performance on your existing infrastructure without hardware modifications.
“AltiCore performance is transformative. Seeing a software synthesis engine outperform established best-in-class Neural Networks solution by such a massive margin signals a fundamental shift in AI deployment. AltiCore seems to be at the beginning of its journey. I am sure there will be a lot of room for optimizations leading to even higher performance.”
Mobile Workstation Dell Precision 5680 | Intel i7-13700H | 32GB RAM | No GPU
Dell PowerEdge R760 | Intel Xeon Gold 5416S
AltiCore vs Neural Network
AltiCore on Laptop vs Best Neural Network on Server
AltiCoreSWP restructures legacy workloads into logic-dominant operator chains, achieving such massive efficiency that a mobile workstation easily outpaces a server-class execution.
AltiCoreSWP Laptop (Inf/Sec)
361,010,000
Server Neural Network (Inf/Sec)
30,090,000
Speed Multiplier
12x
Achieve observed peak throughput speedups up to 28x on existing workstation and server CPUs. Extend the utility of current hardware assets by eliminating the requirement for expensive, supply-constrained GPU upgrades.
Bypass the “Arithmetic Wall” by replacing resource-heavy matrix math with mathematically efficient, logic-dominant operator chains. This fundamental shift in computation radically reduces thermal overhead and energy consumption per inference.
Deploy high-throughput workloads on Windows and Linux using automated conversion into highly portable C/C++ templates. Ensure rapid deployment and horizontal scaling with minimal changes to existing DevOps pipelines or software architectures.
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contact@evochip.ai
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Dana Point, CA