AWS Neuron SDK 2.29.0 now available with NKI and Neuron Explorer out of Beta, a new CPU Simulator, and an expanded NKI Library
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This article announces AWS Neuron SDK 2.29.0, which promotes key tools from Beta to Stable and introduces new development capabilities for AI accelerators.
- Neuron Kernel Interface (NKI) 0.3.0 moves to Stable with Python-based low-level programming access
- New CPU Simulator enables local testing and debugging of NKI kernels without Trainium hardware
- NKI Standard Library exposes developer-visible source code for all APIs and objects
- Seven new experimental kernels added: Conv1D, Transformer token generation, and dynamic tiling
- Existing kernels improved: Attention CTE, MLP, and MoE TKG with enhanced capabilities
- NxD Inference optimizes vision language models including Qwen3 VL and Qwen2 VL
- Neuron Explorer profiling tool moves to Stable with multi-device analysis support
- Available on VS Code Extension Marketplace for easier installation
AWS Neuron SDK 2.29.0 provides developers with stable, production-ready tools for building and optimizing AI workloads on Trainium and Inferentia accelerators.
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