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staff@insideAI News
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AMD has announced its acquisition of ZT Systems for $4.9 billion, marking a significant move into the AI infrastructure arena. The acquisition, which was first disclosed last August, was priced at $4.9 billion. AMD anticipates that the transaction will be accretive on a non-GAAP basis by the end of 2025. The acquisition is part of a trend of chip makers integrating with the AI factory.
AMD's acquisition of ZT Systems will enable "a new class of end-to-end AI solutions based on the combination of AMD CPU, GPU and networking silicon, open-source AMD ROCm software and rack-scale systems capabilities.” Forrest Norrod, EVP/GM of AMD's Data Center Solutions business unit, stated that reducing the design and deployment time of cluster-level data center AI systems will be a significant competitive advantage. In addition, prior to this announcement, AMD secured a 30,000 GPU cluster deal with Oracle.
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@ciso2ciso.com
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A high-severity security vulnerability, identified as CVE-2024-56161, has been discovered in AMD's Secure Encrypted Virtualization (SEV), specifically impacting SEV-SNP-powered systems. The flaw allows an attacker with local administrator privileges to inject malicious CPU microcode due to improper signature verification in the AMD CPU ROM microcode patch loader. Successfully exploiting this vulnerability could lead to the loss of confidentiality and integrity of confidential guests running under AMD SEV-SNP, potentially compromising virtual machine guests and exposing sensitive workloads. The vulnerability has been assigned a CVSS score of 7.2 out of 10.0, indicating a high level of severity.
AMD has released security advisories and provided mitigations through updated microcode and SEV firmware releases. System administrators are strongly advised to apply the latest Platform Initialization (PI) updates and ensure their BIOS firmware contains the necessary fixes to prevent exploitation of CVE-2024-56161. The vulnerability was responsibly disclosed to AMD by Google security researchers, including Josh Eads, Kristoffer Janke, Eduardo Vela, Tavis Ormandy, and Matteo Rizzo. AMD credited the Google team and has taken steps to deliver mitigations promptly. Organizations utilizing AMD EPYC processors with SEV-enabled workloads should immediately contact their Original Equipment Manufacturer (OEM).
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@www.marktechpost.com
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AMD researchers, in collaboration with Johns Hopkins University, have unveiled Agent Laboratory, an innovative autonomous framework powered by large language models (LLMs). This tool is designed to automate the entire scientific research process, significantly reducing the time and costs associated with traditional methods. Agent Laboratory handles tasks such as literature review, experimentation, and report writing, with the option for human feedback at each stage. The framework uses specialized agents, such as "PhD" agents for literature reviews, "ML Engineer" agents for experimentation, and "Professor" agents for compiling research reports.
The Agent Laboratory's workflow is structured around three main components: Literature Review, Experimentation, and Report Writing. The system retrieves and curates research papers, generates and tests machine learning code, and compiles findings into comprehensive reports. AMD has reported that using the o1-preview LLM within the framework produces the most optimal research results, which can assist researchers by allowing them to focus on creative and conceptual aspects of their work while automating more repetitive tasks. The tool aims to streamline research, reduce costs, and improve the quality of scientific outcomes, with a reported 84% reduction in research expenses compared to previous autonomous models.
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