In addition to boosting IPS, AltiCoreAI delivers transformative performance while operating with minimal datasets, accurately extracting insightful predictions from a tiny fraction of data traditionally required by AI models. Tailorable to a wide range of applications, this powerful IP-based technology accelerates models capable of achieving remarkable accuracy without the burdens of massive data storage and processing power.
On entry level development boards, such as Xilinx ZCU104, AltiCoreAI achieves over 3 billion inferences per second (IPS) on datasets like MNIST — a result that dwarfs traditional IP solutions, which typically deliver under 10 million IPS on the same class of hardware and data.

Unlike traditional inference engines, AltiCoreAI is delivered as an ultra-compact, customizable IP block, to be embedded in applications, SoCs, FPGAs, and custom silicon with minimal integration time and power overhead.

‍
Platform Support: To ensure seamless adoption across development and production environments, AltiCoreAI is supported on:
‍
• Windows and Linux platforms
• CUDA-enabled systems for GPU-backed development
• AWS Cloud for scalable simulation, benchmarking, and deployment
‍
“Our technology fundamentally reshapes how AI models are developed, deployed, and scaled," says Alain Blancquart, EvoChip.ai CEO. "AltiCoreAI provides immediate competitive advantages by dramatically cutting inference, hardware and energy costs, enabling robust performance in a large spectrum of environments, and redefining AI accessibility for sectors where real-time, low-power, and highly accurate predictions matter."

Critical Use Cases Include:
‍
• Edge Computing & IoT: Reducing hardware footprint and power use.
• Autonomous Vehicles: Real-time object detection with minimal onboard resources.
• Healthcare & Medical Devices: Accurate immediate diagnostics with minimal data.
• Financial Fraud, Intrusion, Malware Detection: Rapid real-time predictions based on minimal transaction data.
• Predictive Maintenance: Early, Accurate Prediction with Limited Sensor count and Data.
‍
In collaboration with early partners, we can begin integrating AltiCoreAI. General availability will follow later this year.

‍