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What Alibaba Cloud’s Day-Zero Kimi K3.1 Pro Support Means
Alibaba Cloud said on November 5, 2026, that its M890 SuperPoD had adapted Kimi K3.1 Pro’s weights and validated the model with vLLM and SGLang.
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Key takeaways
- Alibaba Cloud said on November 5, 2026, that its M890 SuperPoD had adapted Kimi K3.1 Pro’s weights and validated the model with vLLM and SGLang.
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openai.comCreate a landscape editorial hero image for this Studio Global article: What did Alibaba Cloud’s November 5, 2026 announcement reveal about day-zero support for Moonshot AI’s Kimi K3.1 Pro on the Lingjun Zhenwu M. Article summary: Alibaba Cloud’s November 5 announcement said its Lingjun Zhenwu M890 SuperPoD had completed day-zero adaptation of Kimi K3.1 Pro’s weights and full-stack validation with both vLLM and SGLang, while opening invited SuperP. Topic tags: general, general web, documentation, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks,
Alibaba Cloud’s November 5, 2026 announcement said its Lingjun Zhenwu M890 SuperPoD had completed day-zero adaptation of Moonshot AI’s Kimi K3.1 Pro weights and full-stack validation with vLLM and SGLang. The company also opened invite testing for SuperPoD instances in Zhongwei. 1 Separate SGLang documentation lists support for both M890 and 810E processors, adding evidence beyond Alibaba’s announcement.
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What “day-zero support” covers
The announcement describes model-weight adaptation and validation across two inference frameworks—not an independent performance benchmark or proof that every deployment configuration was generally available. Alibaba said users could deploy the model on its SuperPoD instances and described deployment through bare-metal instances or its REIN intelligent engine service. 1
The SGLang cookbook identifies a kimi-k3.1-day-0 branch and lists PPU support for M890 and 810E. That confirms documented framework support, but the branch detail alone does not establish that all changes were already merged into SGLang’s main branch. 20 vLLM’s day-zero post also lists Alibaba T-Head Zhenwu PPUs among supported platforms.
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Why the model needs a large system
Kimi K3.1 Pro is a 2.8-trillion-parameter sparse mixture-of-experts model with a one-million-token context window. The SGLang cookbook lists about 104 billion active parameters. 20 Alibaba describes a hybrid attention design combining Kimi Delta Attention (KDA) and DSA sparse attention, as well as multi-token prediction. It says the model places substantial demands on memory capacity and high-speed scale-up interconnects.
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Alibaba Cloud, chip designer T-Head and the Kimi team jointly adapted the model using the T-Head SAIL software stack. The announcement names optimization work on FlashMLA, DeepGEMM MoE, MegaMoE and MoonEP. 1 These details describe the vendor’s implementation effort; the announcement does not provide measured memory requirements, accelerator counts or independently verified throughput figures.
Deployment, Zhongwei testing and networking claims
Alibaba’s announcement opened invite testing for its Zhongwei SuperPoD region. 1 A contemporaneous report also said Kimi K3.1 Pro was available through the Qwen AI platform API.
2 These are distinct access routes: invited testing of SuperPoD infrastructure is not the same as broad access to an API or to every hardware configuration.
The same report described a Panmai 920 smart network card in the Zhongwei configuration. It attributed PCIe 5.0, 112G PAM4 Ethernet, up to 400 Gbps throughput, 400 million packets per second, multipath RDMA and programmable congestion control to the card. It also reported an integrated PCIe switch connecting GPUs and SSDs and a claimed system-cost reduction of about 30%. These are reported vendor specifications and savings claims, not independently verified results in the available evidence. 2
What the announcement does not establish
The available sources support the core claim of M890 day-zero adaptation, validation in two inference frameworks and documented SGLang support for M890 and 810E. They do not establish that this was Zhenwu’s first mainstream open-weight launch through an in-tree hardware backend, or verify a specific multi-node prefill/decode recipe. 1
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Nor do the sources confirm day-zero availability of Kimi K3.1 Pro in both Zhongwei and Ulanqab, adoption by more than 100 large customers, or the full set of customer-industry breakdowns raised in the original claims. Those details should not be treated as established from the launch announcement alone.
A separate Alibaba announcement says its next-generation Zhenwu V900 is designed to deliver three times M890’s performance, with 216 GB of memory and 1,200 GB/s of inter-chip bandwidth. That is an Alibaba product claim, not a Kimi K3.1 Pro benchmark. 4 Separately, an SGLang issue documents work to support Kimi K3.1 on Huawei Ascend, including routing its DSA attention path; it does not by itself demonstrate a completed, production-ready Huawei SuperPoD launch offering.
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Bottom line: Alibaba’s announcement establishes launch-time adaptation of Kimi K3.1 Pro for the M890 and validation with vLLM and SGLang. Framework documentation supports the broader M890/810E compatibility picture, while details about performance, regional availability and some commercial claims remain vendor-reported or unverified. 1
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Alibaba Cloud said on November 5, 2026, that its M890 SuperPoD had adapted Kimi K3.1 Pro’s weights and validated the model with vLLM and SGLang.