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Akeana has announced a strategic collaboration with Samsung Electronics to accelerate time-to-market for next-generation server and agentic AI silicon. The partnership integrates Akeana’s high-performance RISC-V compute platform with Samsung Foundry’s advanced process technologies and ecosystem infrastructure, offering customers a streamlined path from architecture to production. As hyperscale computing, enterprise AI, and autonomous AI agents drive demand for specialized silicon, the industry is moving beyond traditional CPU-centric architectures. RISC-V has emerged as a compelling alternative due to its open instruction set architecture, flexibility, and growing ecosystem. Akeana provides enterprise-class RISC-V infrastructure IP—including 64-bit processor cores, cache-coherent interconnect, memory subsystem IP, and system-level components for datacenter, networking, and AI applications—reducing integration complexity for sophisticated SoC designs. The collaboration aligns Akeana’s IP with Samsung’s SAFE™ initiative, which combines EDA vendors, IP providers, packaging partners, and design services into a pre-validated ecosystem. This integration shortens design cycles by offering customers validated IP and optimized implementation flows. For AI silicon developers, time-to-market is critical as generative and agentic AI workloads evolve rapidly. By using pre-validated RISC-V platforms with an established foundry ecosystem, customers can focus resources on workload-specific differentiation. Agentic AI—requiring planning, reasoning, orchestration, and communication between software agents—demands robust memory hierarchy, interconnect bandwidth, security, and heterogeneous compute resources. RISC-V’s open ISA enables custom instructions and domain-specific extensions without licensing constraints, allowing performance and power optimizations for emerging workloads. Samsung benefits by expanding its foundry ecosystem beyond process technology, appealing to AI, cloud, networking, and datacenter customers seeking alternatives to traditional architectures. The broader significance reflects RISC-V’s evolution from an academic architecture into a viable foundation for high-performance computing and AI infrastructure. As foundries, EDA vendors, software providers, and IP companies align around server-class RISC-V solutions, adoption barriers decline. Ultimately, the combination of Akeana’s infrastructure IP and Samsung’s manufacturing ecosystem offers semiconductor companies a faster path to production silicon for next-generation processors and AI accelerators.