As generative AI enters the era of trillion-parameter large language models, data center computing architectures are facing unprecedented challenges. The traditional approach of "general-purpose CPU plus discrete AI accelerator cards" is constrained by bandwidth bottlenecks, leading to significant latency and power consumption from cross-chip data movement, which increases the total cost of ownership (TCO) for AI computing centers.

At the recently held World Artificial Intelligence Conference 2026 (WAIC 2026), Lenovo Group Ltd. (LENOVO GROUP), in collaboration with BlueCore Computing, a leader in the RISC-V and AI computing fusion space, presented an innovative solution. At the Lenovo booth in Hall H1 of the Expo Center, the world's first 2U rack server powered by BlueCore's LX500 processor—the Lenovo Wentian WR5219 G5—was officially unveiled. This marks Lenovo's first public display of a complete server product based on the RISC-V architecture, drawing significant attention from industry experts and ecosystem partners.

Lenovo staff on-site explained that this WR5219 G5 server is equipped with BlueCore Computing's integrated "Tongzhi" CPU, which boasts 75 TOPS of built-in AI computing power, making it highly suitable for deploying edge AI applications. Compared to previous solutions, this approach enables efficient AI inference processing directly without the need for additional GPU deployment, offering substantial cost advantages. As the software ecosystem continues to mature, this product is seen as having considerable future potential.

The LX500 chip powering this server comes from BlueCore Computing, a leading domestic developer of RISC-V server AI chips. At the conference, under the theme "RISC-V Native AI Computing, Empowering Partners Across the Intelligent Landscape," BlueCore systematically showcased its LX500 series, a new generation of integrated "general and AI" computing solutions covering the full stack from chip and server clusters to software stacks and industry applications.

According to BlueCore's technical personnel, the LX500 is a CPU designed natively for AI, featuring targeted innovations at the instruction set and memory controller levels. It enables the integrated delivery of general-purpose computing and AI inference without requiring a separate AI accelerator card. This technological path directly challenges the long-standing dominance of x86 and ARM in the server CPU market, aiming to provide an autonomous, secure, and controllable computing foundation for deploying large models across various industries.

Single-Chip Heterogeneous Integration: Underlying Innovation with 48-Core Architecture and On-Chip AI Engine

BlueCore's LX500 employs a heterogeneous architecture design, integrating 32 performance cores and 16 efficiency cores for a total of 48 cores. It natively supports the latest RISC-V standards like RVA23 and RVV1.0. The chip integrates up to 75 TOPS of INT8 computing power, allowing it to handle both general-purpose computing and large model inference tasks simultaneously without external accelerators, achieving a good balance in compute density, power control, and server-grade RAS reliability.

Compared to the traditional "CPU + discrete accelerator card" model, the LX500's on-chip integrated design reduces latency and power consumption associated with cross-chip data transfer, thereby lowering overall server deployment and operational costs. At the hardware level, the chip fully supports IOMMU, hardware virtualization, and CXL 2.0 memory expansion, and is deeply adapted to domestic operating systems like BC-Linux and openEuler. Optimizations for mainstream agent scheduling frameworks, such as OpenClaw, enhance its domestic adaptation capabilities in high-concurrency scenarios like private large model deployment, video parsing, and intelligent analytics.

Full-Stack Live Demonstration Addressing AI Computing Center Needs

To validate the LX500's performance in real-world AI computing scenarios for engineering delivery, BlueCore presented a complete live demonstration of "RISC-V Server Whole-Machine Optimized Software Stack Model Testing" at WAIC, showcasing the operation of RISC-V products in actual business environments. The on-site agent all-in-one machine, built on the LX500, successfully ran mainstream large models like Kimi-K2.6 UD-Q8_K_XL (with 1 trillion total parameters) and Qwen3.6-35B (with 35 billion total parameters), and stably supported 128K long-context inference. This demonstration not only verified the chip's performance under large model workloads but also gave attendees a direct understanding of the commercial maturity of RISC-V servers.

BlueCore also exhibited joint achievements with partners like Lenovo across multiple vertical sectors, covering customized solutions for scenarios such as telecom operator cloud platforms, financial computing clusters, university research computing, and industrial intelligent inspection hosts.

Multi-Industry Commercial Deployment and Scaling Capabilities Emerge

At the conference, BlueCore disclosed progress in several key industry deployments. In the telecom sector, it has completed adaptation with mainstream carrier operating systems, supporting cloud host and cloud disk service deployments. In research and education, it provides a domestic server platform for AI teaching and scientific computing at multiple universities. In the industrial sector, its products have entered deployment stages for applications like intelligent substation inspection and production line AI quality inspection hosts. These cases send a clear signal: high-performance RISC-V servers have moved from the lab validation phase into the stage of scaled commercial deployment.

During the exhibition, BlueCore's R&D team also held multiple exchanges on underlying technical topics such as RISC-V core customization, virtualization optimization, operator adaptation, and cluster scheduling, discussing practical paths for building the domestic computing ecosystem with upstream and downstream industry partners.

Trends and Outlook

Data center computing architecture is rapidly evolving towards openness and intelligence. With its advantages of open-source flexibility, RISC-V is becoming a significant breakthrough point to challenge the long-term duopoly of x86 and ARM. BlueCore has chosen not to simply imitate existing paths but to enter the cloud computing market with a differentiated approach focused on integrating AI capabilities. It is reported that BlueCore's server CPU chip products have begun shipping to domestic and international customers, with scaled mass production and batch shipments expected in the second half of 2026.

Third-party institutions predict that by 2030, RISC-V could account for 28% of the data center market, forming a tripartite landscape with x86 and ARM. RISC-V+AI integrated CPUs are expected to drive a restructuring of the chip supply chain and give rise to new business models and service forms. Leveraging its full-stack hardware and software capabilities and a thriving domestic computing ecosystem, BlueCore is accelerating the scaled commercial adoption of high-performance RISC-V, laying a solid, autonomous, and controllable technological foundation for the next generation of intelligent computing infrastructure.