GeForce RTX 3090 vs Quadro RTX 8000 Benchmarks
#NOW IN STOCK 3090 DRIVER#
NVIDIA Quadro RTX 8000 (Production Branch Driver R460 U3, 461.40) NVIDIA RTX 3090 Founder’s Edition (Studio Driver 461.40)
#NOW IN STOCK 3090 WINDOWS 10#
Windows 10 Professional (ver 20H2, October 2020)Ĥx8GB (32GB) G.Skill TridentZ Neo 3600MHz CL16ĪSRock X570 Taichi (BIOS v4.00, PCIe Gen4) The main test system and GPU specifications are below, including driver and BIOS versions. We know, we can hear you through the screen about the differences for a “true” workstation card! We’ll get there, we promise keep reading. It’s also impossible to ignore the state of the world right now, with work-from-home solutions being a top priority for a lot of people, and having one extremely powerful GPU for CAD by day and gaming by night sounds better than ever. Particularly because as of writing this article, there is no official word on a true TITAN RTX successor, which has traditionally filled the niche for work and play GPUs. Why are we comparing a workstation Quadro card with a consumer GeForce card? Because never before has NVIDIA put out a consumer card this powerful, and the value proposition of spending a third of the money versus the Quadro line has become very enticing. We also have a couple of OEM workstations for comparison, including a Lenovo P920 we previously reviewed with dual RTX 8000s and a new Lenovo P620 packed with AMD’s latest Threadripper PRO. While a more apt comparison would be to the Quadro RTX 6000, as both cards have 24GB of VRAM, the results would be nearly identical, as the actual compute capabilities of the 80 are the same and none of these benchmarks used more than 24GB of VRAM. We’ll be comparing an NVIDIA GeForce RTX 3090 Founder’s Edition to the NVIDIA Quadro RTX 8000, the (former) king of NVIDIA’s workstation line. We’ll be looking at creative professional use-cases, things like Blender, Davinci Resolve, and LuxMark, but we’ll also look at a machine learning benchmark based on the open-source TensorFlow library in Python, and a bit of gaming for good measure. Today we’ll take a look at a range of use-cases to shed some light on if the wait will be worth it. But are you really missing out on that much if you can’t get your hands on a new NVIDIA GeForce RTX 3090 for your workstation? There are, of course, a lot of factors to know if you need to upgrade. As of this writing in February of 2021, stock of new GPUs is still extremely scarce and isn’t expected to return to normal until at least Q3 of this year. The new Ampere-based GPUs from NVIDIA are here and if you’re lucky, you might actually get to buy one.
0 kommentar(er)
