EvoChip.ai Reports 40x Faster AI Inference with AltiCoreAI

EvoChip.ai announced benchmark results showing that its AltiCoreAI technology delivers between 13 and 41 times faster inference performance than optimized neural networks running on standard CPU hardware, announced in a press release. The benchmark, conducted with IT solutions provider SidePath, tested AltiCoreAI against multiple TensorFlow-based implementations across seven public datasets on both workstation and server-class CPUs.

The study found that AltiCoreAI sustained 472 to 575 million inferences per second on server-grade CPUs, compared to 21 to 54 million for optimized neural networks. The performance gain stems from a different architectural approach that emphasizes fast logical operations while minimizing arithmetic computation.

According to EvoChip.ai, AltiCoreAI models required 35 to 301 times fewer parameters and 40 to 343 times fewer arithmetic operations per inference while maintaining comparable accuracy. The technology is designed for structured decisioning workloads in sectors such as financial services, manufacturing, healthcare, industrial IoT, and telecommunications.

EvoChip.ai plans a commercial launch of AltiCoreAI in April 2026 and is seeking $10 million in equity funding to accelerate its go-to-market strategy. The company stated that the technology’s efficiency could enable AI deployment in resource-constrained environments, including embedded and edge devices.