![]() Jonathan has developed growth strategies and alliances for companies in the mobile, networking, gaming, and software industries. Guest author Jonathan Goldberg is the founder of D2D Advisory, a multi-functional consulting firm. These are significant multiples that may give many investors pause. The company is strategically well-positioned, which is reflected in its stock price, currently trading at 167x trailing twelve months earnings and 67 times this year's estimated EPS. Nvidia has largely captured all the market for chips used for training AI models and is also performing well with chips for inference. Setting aside what the latest AI models are actually good for, it is not surprising that investors are looking for stocks with "AI exposure." Unfortunately, this turns out to be a fairly short list at the moment, and at the top of that list is Nvidia. NVIDIA Corporation products are not authorized for use as critical components in life support devices or systems without express written approval of NVIDIA Corporation.The big picture: The world has gone mad for AI. This publication supersedes and replaces all information previously supplied. Specifications mentioned in this publication are subject to change without notice. No license is granted by implication or otherwise under any patent or patent rights of NVIDIA Corporation. However, NVIDIA Corporation assumes no responsibility for the consequences of use of such information or for any infringement of patents or other rights of third parties that may result from its use. Information is believed to be accurate and reliable at the time it is furnished. ![]() DisclaimerĪLL NVIDIA INFORMATION, DESIGN SPECIFICATIONS, REFERENCE BOARDS, FILES, DRAWINGS, DIAGNOSTICS, LISTS, AND OTHER DOCUMENTS (TOGETHER AND SEPARATELY, “MATERIALS”) ARE BEING PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESS, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE MATERIALS, AND ALL EXPRESS OR IMPLIED CONDITIONS, REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OR CONDITION OF TITLE, MERCHANTABILITY, SATISFACTORY QUALITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT, ARE HEREBY EXCLUDED TO THE MAXIMUM EXTENT PERMITTED BY LAW. If you have any questions about this security bulletin, contact NVIDIA Support. Learn more about the vulnerability management process followed by the NVIDIA Product Security Incident Response Team (PSIRT).Report a potential security issue in any NVIDIA supported product.See the current list of NVIDIA security bulletins.Subscribe to security bulletin notifications.Visit the NVIDIA Product Security page to Get the Most Up to Date Product Security Information CVE‑2023‑25513: Luca Di Bartolomeo EPFL.CVE‑2023‑25512: Luca Di Bartolomeo EPFL, Zhaozixi105.NVIDIA thanks the following people for reporting these issues: If you are using an earlier release, upgrade to the latest release version. Earlier software releases of this product are also affected.The following table lists the software products and versions affected, and the updated version available from that includes this security update.ĭownload the update from the CUDA Toolkit Downloads page to apply the security update. NVIDIA recommends evaluating the risk to your specific configuration. The NVIDIA risk assessment is based on an average of risk across a diverse set of installed systems and may not represent the true risk to your local installation. NVIDIA CUDA Toolkit for Linux and Windows contains a vulnerability in cuobjdump, where a division-by-zero error may enable a user to cause a crash, which may lead to a limited denial of service. NVIDIA CUDA Toolkit SDK for Linux and Windows contains a NULL pointer dereference in cuobjdump, where a local user running the tool against a malformed binary may cause a limited denial of service. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure. NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds read by tricking a user into running cuobjdump on a malformed input file. NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds memory read by running cuobjdump on a malformed input file. Descriptions use CWE™, and base scores and vectors follow CVSS v3.1 standards. This section summarizes the potential vulnerabilities that this security update addresses and their impact.
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