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The Ada Lovelace architecture follows on from the Ampere architecture that was released in 2020. The Ada Lovelace architecture was announced by Nvidia CEO Jensen Huang during a GTC 2022 keynote on September 20, 2022 with the architecture powering Nvidia's GPUs for gaming, workstations and datacenters.
5.15 Quadro RTX / T x000 series. 5.16 RTX Ax000 series. 5.17 RTX Ada Generation. 5.18 Mobility Quadro NVS series. 5.19 Mobility NVS series. 6 Tegra GPU. 7 Data Center ...
While this may not offer all of the performance of the equivalent Quadro card, ... Quadro FX 3500 [68] 2006-05-22: G71GL: 450: ... RTX 6000 Ada Generation [202] 2022 ...
+ Nvidia RTX A1000 Ada w/6 GB GDDR6 + Nvidia RTX A2000 Ada w/8 GB GDDR6 + Nvidia RTX A3500 Ada w/12 GB GDDR6 + Nvidia RTX A4000 Ada w/12 GB GDDR6 + Nvidia RTX A5000 Ada w/16 GB GDDR6. Intel BE200 2 x M.2 PCIe NVMe 1920×1200 IGZO 3840×2400 IGZO touch Windows 11 Home Windows 11 Pro Ubuntu 22.04. Precision 5680 Mar 2023 1.91 kg (4.2 lb) USB-C
Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.
RTX 6000 Ada, RTX 5880 Ada, RTX 5000 Ada, RTX 4500 Ada, RTX 4000 Ada, RTX 4000 SFF L40S, L40, L20, L4, L2 9.0 Hopper: GH100 H200, H100 10.0 Blackwell: GB100 B200, B100 10.x GB202, GB203, GB205, GB206, GB207 GeForce RTX 5090, RTX 5080, RTX 5070 Ti, RTX 5070 B40 Compute capability (version) Micro-architecture GPUs GeForce Quadro, NVS Tesla ...
Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020 and is named after French mathematician and physicist André-Marie Ampère.
Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.