Day 0 Adaptation | BR Chips Technology First to Support Kimi K2.6 Model, Empowering AI Programming Efficiently

On the evening of April 20, MoonDarkSide officially released and open-sourced the Kimi K2.6 model, bringing state-of-the-art capabilities in coding, long-term task execution, and Agent clustering. BR Chips Technology (06082.HK) flagship general-purpose GPU product, BR砺™ 166 series, completed model integration and inference adaptation shortly after the Kimi K2.6 model was open-sourced, providing developers and industry clients with a 'first experience' of the SOTA model on domestic computing power platforms.

According to official information, Kimi K2.6's comprehensive abilities in general Agents, coding, and visual understanding have been significantly enhanced. It achieved industry-leading results in benchmarks such as the full version of Humanity's Last Exam, SWE-Bench Pro which evaluates real software engineering capabilities, and DeepSearchQA which assesses Agents' deep retrieval capabilities, matching or surpassing closed-source models like GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro.

The long-term coding capability of Kimi K2.6 has also been greatly improved. During testing, it can code continuously for 13 hours, write or modify over 4,000 lines of code, and complete the development and optimization of complex systems. Kimi K2.6 substantially enhances the autonomous execution ability of Agents. The Agent cluster architecture driven by the K2.6 model supports 300 sub-Agents working in parallel to complete 4,000 collaborative steps, achieving larger-scale parallelization. For proactive Agent frameworks like Open Claw and Hermes Agent, K2.6 supports continuous autonomous operation for up to five days.

Kimi K2.6 completes inference tasks based on the BR砺™ 166 series products

For the core features of the Kimi K2.6 model, including the 1T MoE architecture, 256K long context, and MLA multi-head latent attention, Biren Technology has conducted full-stack deep optimization based on the mainstream open-source framework vLLM, precisely adapting to 32B activation parameters and taking the lead in achieving lossless inference for 256K context.

To further enhance inference performance, the team simultaneously adopted various techniques such as MoE expert scheduling optimization, sparse computing, multi-level parallelism with Tensor Parallel and Context Parallel, and int4 quantized inference, enabling the model to achieve low latency and high throughput on Biren Technology's platform. During this process, Biren Technology performed deep performance optimization on key operators of Kimi K2.6, significantly improving the model’s inference efficiency through automated operator tuning strategies.

As a crucial computing power support for the domestic large model ecosystem, Biren Technology continues to lead the construction of the domestic GPU ecosystem. Relying on the high versatility of the Bilri™ 166 series products and the maturity of the fully self-developed BIRENSUPA™ software stack, Biren Technology has recently completed Day0-level adaptation support for leading large models such as Moon's Dark Side Kimi series, Alibaba’s Qwen series, MiniMax M2 series, Zhipu GLM series, Step星辰 Step series, Tencent Hunyuan series, and OpenMOSS MOVA series, covering the full range of language, multimodal, and AIGC categories.

Biren Technology will continue to facilitate the large-scale deployment of domestic SOTA models, significantly lowering the threshold for developers' model deployment and application. By accelerating the democratization of AI applications, it will become a key engine for the new form of intelligent economy.

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