Inspur Information has introduced the MetaBrain SD200 Ultra artificial intelligence supernode at the AICC2026 Artificial Intelligence Computing conference. This node is positioned as a capability-class system for processing tasks involving trillion-parameter models and agents. The official English name of the system is Inspur / MetaBrain.
According to company data and information agencies, the node integrates 128 domestic AI chips, provides access to 8 TB of unified accelerator memory, and 64 TB of host memory. It is capable of running the Kimi K3 model from Moonshot AI, which has 2.8 trillion parameters, on a single machine with a token generation latency of less than 5.85 milliseconds, equating to approximately 170 tokens per second for a single user, according to Inspur's estimates.
The architectural features of the node include the 3D Hyper Mesh factory, which ensures native, semantics-sensitive memory communication with a claimed latency of 0.69 microseconds. Short-reach copper interconnects and symmetric memory are also utilized, allowing accelerators to directly access the memory of remote nodes. Inspur claims that the AllReduce operation execution time has been reduced by approximately 3.5 times compared to previous solutions.
Furthermore, integrated 'superoperators' for the KDA, gated MLA, and MoE stages of the Kimi K3 model reduce the number of operators by about ten times while increasing inference performance by more than threefold. These figures are vendor claims. Materials also indicate the potential to support models up to 10 trillion parameters on a single node.
Another product, MetaBrain HC2000, is a rack with multiple accelerators designed for capacity-class inference, boasting a claimed tenfold tokens-per-investment throughput under agreed SLA constraints. Although various publications describe the accelerators only as domestic or local AI chips, none of the primary sources analyzed for this review name the silicon manufacturer or the SKU within the SD200 Ultra. Therefore, this article does not attribute the node to Ascend, Cambricon, or any other specific supplier.