
NVIDIA recently announced it is extending its collaboration with Lenovo to include participation in NVIDIA’s early access program in support of Project Monterey, which is designed to modernise enterprise datacentres with the security and performance of NVIDIA BlueField data processing units.
Announced by VMware with NVIDIA and ecosystem partners at VMworld 2020, Project Monterey aims to improve the performance, manageability and security of enterprise datacentres through the latest networking technologies, including NVIDIA BlueField DPUs. Built for artificial intelligence (AI) and accelerated computing, BlueField DPUs enable delivery of applications at any scale by offloading, accelerating and isolating datacentre workloads.
NVIDIA, Lenovo and VMware are collaborating to evolve the architecture of the datacentre, cloud and edge to be software-defined and hardware-accelerated for tackling modern workloads, such as AI and machine learning. The early access program allows enterprises to tap into VMware-enabled preconfigured clusters accelerated by BlueField-powered servers, including Lenovo ThinkAgile VX and ThinkSystem Ready-Nodes.
“AI is transforming datacentres, driving demand for new workloads and architectures”, said Justin Boitano, Vice President and General Manager of Enterprise and Edge Computing at NVIDIA. “Lenovo’s collaboration in our Project Monterey early access program is a key step in allowing enterprises to embrace AI’s transformational benefits while tackling security and performance challenges”.
“Lenovo and NVIDIA’s collaboration on the Project Monterey early access program enables a fundamental solution shift towards advanced, DPU-powered datacentre architecture”, said Kamran Amini, Vice President and General Manager of Server, Storage and Software Defined Solutions at Lenovo ISG. “NVIDIA BlueField DPUs provide performance and security which enhance the modern datacentre that is software defined and hardware accelerated”.
Organisations can register for NVIDIA’s early access program on https://www.nvidia.com/en-us/networking/project-monterey/.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)