Post-Quantum Cryptography is becoming a key building block for future secure systems, as quantum computers threaten widely deployed public-key cryptographic algorithms. In response, the NIST standardization process has selected new quantum-resistant schemes, among which ML-KEM plays a central role for key establishment. Deploying these algorithms efficiently on embedded processors is therefore a critical step toward practical adoption, particularly because embedded systems face strict constraints in terms of computational resources, memory footprint, and energy consumption. At the same time, they are more exposed to physical threats, making resistance to side-channel attacks a key requirement. These constraints make RISC-V especially attractive: its open instruction set and extensibility allow experimentation with software optimizations as well as hardware acceleration for PQC. To explore these aspects, CEA has developed VASCO3, a 22 nm ASIC chip designed to experimentally evaluate PQC implementations and side-channel countermeasures directly on silicon. The chip integrates a RISC-V–based System-on-Chip (SoC) together with several ML-KEM hardware accelerators, enabling the study of different hardware/software partitioning strategies around an embedded RISC-V CPU. In this demonstration, we present a comprehensive exploration of ML-KEM. We first showcase a pure software implementation running on the RISC-V, then progressively introduce hardware acceleration and a fully dedicated ML-KEM accelerator. We also demonstrate protected implementations based on first-order masking, including a masked software version and a masked hardware-assisted design.