Security News
NVIDIA released a security update for the Windows NVIDIA GeForce Experience app to address vulnerabilities that could enable attackers to execute arbitrary code, escalate privileges, gain access to sensitive info, or trigger a denial of service state on systems running unpatched software. The three vulnerabilities fixed in the October 2020 security update are detailed below, together with full descriptions and the CVSS V3 base score assigned by NVIDIA. CVE IDs Description Base Score CVE‑2020‑5977 NVIDIA GeForce Experience contains a vulnerability in NVIDIA Web Helper NodeJS Web Server in which an uncontrolled search path is used to load a node module, which may lead to code execution, denial of service, escalation of privileges, and information disclosure.
Sequitur Labs announced it has officially joined the NVIDIA Partner Network with full support for the NVIDIA Jetson platform and protection of IP at the edge. Sequitur's EmSPARK Security Suite provides a robust security framework protecting embedded firmware, keys and security-critical assets through the entire device lifecycle.
Inspur unveiled its Cloud SmartNIC solution based on NVIDIA BlueField-2 data processing unit at GTC 2020. The Inspur Cloud SmartNIC solution deeply integrates the Inspur Server with NVIDIA DPU, enabling the combined capabilities of embedded processing, SmartNIC networking and high-performance PCIe 4.0 host interface, which can deliver hyper-performance network acceleration at a speed of up to 200Gb/s.
NVIDIA has released security updates for the NVIDIA GPU Display Driver and the NVIDIA Virtual GPU Manager that fix a variety of serious vulnerabilities. The driver security update should be implemented by users of the company's desktop, workstation and data center GPUs, while the vGPU software update is available for the Virtual GPU Manager component on Citrix Hypervisor, VMware vSphere, Red Hat Enterprise Linux KVM, and Nutanix AHV enterprise virtualization solutions.
VMware and NVIDIA announced a broad partnership to deliver both an end-to-end enterprise platform for AI and a new architecture for data center, cloud and edge that uses NVIDIA DPUs to support existing and next-generation applications. Through this collaboration, the rich set of AI software available on the NVIDIA NGC hub will be integrated into VMware vSphere, VMware Cloud Foundation and VMware Tanzu.
NVIDIA this week released patches for a dozen vulnerabilities in GPU display drivers and vGPU software, including multiple issues that could lead to code execution. The most severe of the bugs affecting the GPU drivers include CVE‑2020‑5962, which was found in the NVIDIA GPU display driver, and CVE‑2020‑5963, which resides in the CUDA driver.
In contrast, a high-end GPU might have 2000 to 5000 cores, but they aren't each able to run completely different instructions at the same time. Servers fitted with GPUs probably need two sets of patches, covering both the NVIDIA GPU drivers that control the actual hardware in the physical system, and the NVIDIA vGPU software, which shares out physical GPUs between guest operating systems running under virtualisation software from vendors including Citrix, Red Hat and VMWare.
Graphics chipmaker Nvidia has fixed two high-severity flaws in its graphics drivers. Nvidia's graphics driver for Windows is used in devices targeted to enthusiast gamers; it's the software component that enables the device's operating system and programs to use its high-level, gaming-optimized graphics hardware.
Thanks to its agile and strong product design and development capabilities, Inspur is one of the first in the industry to support the NVIDIA A100 Tensor Core GPU and build up a comprehensive and competitive next-generation AI computing platform. The NVIDIA A100 offers multi-instance GPU technology, which enables a single GPU to be partitioned into seven hardware-isolated instances to work on multiple networks simultaneously.
Digital Realty developed a pre-configured Data Hub footprint based on typical customer deployment scenarios on NVIDIA DGX and DGX PODTM configurations. Delivered as part of NVIDIA DGX-Ready Data Center program, the Data Hub solution accommodates a typical enterprise deployment of AI infrastructure to address the placement, connectivity and hosting of critical data infrastructure in proximity to users, networks, clouds and things.