MindStudio

Key Features

• Training development tools: To address pain points in LLM training—such as multi-core scheduling imbalance, RL training-inference misalignment, silent long-running training failures, Host-side bottlenecks, and high debugging overhead—MindStudio introduces an upgraded training toolchain. Focusing on reinforcement learning (RL), Agent-based AI analytics, and HostBound bottleneck diagnosis, this release enables efficient end-to-end troubleshooting across accuracy, performance, and memory—lowering tuning barriers, improving training stability, and accelerating model iteration.
• Inference development tools: To address the pain points of long inference implementation period, high manual optimization costs, difficult parameter selection, and high skill requirements for model inference, the new version of MindStudio comprehensively optimizes four capabilities: precision data collection, quantization, and simulation modeling. This simplifies the entire inference development process, lowers the implementation threshold, and improves the efficiency of quantization and optimization.
• Operator development tools: To address the pain points of Ascend 950 developers in daily development, such as high threshold for debugging operators of the new architecture, incomplete exception detection capabilities, and time-consuming hardware performance optimization and analysis, the new version of MindStudio continuously improves the operator development toolchain that adapts to Ascend 950. It upgrades capabilities in three dimensions: exception detection, problem debugging, and performance optimization, reducing the cost of operator development and shortening the iteration period of Ascend 950 operators.

Quick Start

Release Notes

Quick Installation

Quick Start

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