Preface: Artificial intelligence is both harmful and beneficial. Why is it harmful? Fundamentally, it reduces opportunities for low-skilled jobs. Speakers chant slogans like “Smart living, increased productivity.” However, its underlying problems seem difficult to conceal, so you can learn about the latest developments in artificial intelligence from online newspapers and articles. Today, when you seek answers from artificial intelligence, the answers it provides may not be the truth! Why have humans been able to survive and thrive on Earth for thousands of years? The answer is: survival of the fittest.

Background: Megatron-Core and Megatron-LM are open-source tools that are typically used together to train LLMs at scale across GPUs. Megatron-Core expands the capability of Megatron-LM.

NeMo Megatron Bridge is utilized by AI researchers, infrastructure engineers, and developers focused on high-performance training and fine-tuning of large language models (LLMs) and foundation models, particularly those bridging the Hugging Face ecosystem with NVIDIA’s Megatron-Core. NVIDIA H100 GPU introduced support for a new datatype, FP8 (8-bit floating point), enabling higher throughput of matrix multiplies and convolutions. Megatron Bridge uses the NVIDIA TransformerEngine (TE) to leverage speedups from FP8.

While NVIDIA developed Megatron Bridge to facilitate checkpoint conversion between NVIDIA NeMo and other deep learning frameworks, OpenAI utilizes its own internal infrastructure. As of 2026, NVIDIA Megatron Bridge is primarily used by large enterprises, Cloud Service Providers (CSPs), and Sovereign AI initiatives that need to train or deploy open-source models (such as Llama 3, Mistral, or Qwen) at massive scale on NVIDIA hardware.

Vulnerability details:

CVE-2025-33239 NVIDIA Megatron Bridge contains a vulnerability in a data merging tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

CVE-2025-33240 NVIDIA Megatron Bridge contains a vulnerability in a data shuffling tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

Official announcement: Please refer to the link for details – https://nvidia.custhelp.com/app/answers/detail/a_id/5781