Up to 192 AMD EPYC CPU Cores, 384 threads. 6TB ECC RAM. 264TB Storage. The a-X2 is our Dual EPYC Workstation. As our flagship Dual EPYC AI workstation for CPU-intensive workloads, the a-X2 can be equipped with up to 2 GPUs, has NVMe m.2 drive support and dual 10GbE ports, along with space for up to 8, 3.5″ Drives or 12 SATA SSDs. Our a-X2 is the fastest Dual EPYC workstation for fully multi-threaded CPU applications – a Dual EPYC AI workstation behemoth providing server room CPU compute power deskside.
Not sure what the best configuration for your application usage is? Give us a call at 424-235-7479 and we’ll help you configure your workstation.
Jeff C. –
AMD? Really??
Well I talked to Chris in October. I was pretty set on ordering a dual Xeon machine like the i-X2, but he then explained the massive advantage with the upcoming AMD CPUs would be for the work I’m doing. he also referred me to a great article in serve the home, and I was blown away looking at the benchmarks. I was really surprised to see AMD completely outperforming the top Intel CPUs and at half the cost.
I wanted the fastest PC for Houdini, and ordered the a-X2 with dual EPYC 7742 64 core CPUs for 128 cores, 256 Gb Ram and a NVIDIA 2080 GPU. My main apps are Houdini, ZBrush, and V-Ray, and I do all my rendering on CPU. My 24 core HP Z840 is a good machine, but wow – I am doing renders 8 – 10 times faster than before, and some renders are real time!
The only con was the RGB lights, but I emailed Andy in support and he told me how to turn them off. Pretty amazing product – feels like it’s changing the way I work.
Paul V. –
Though it took three weeks from order date to ship, we have had our a-X2 with dual 32 core EPYC CPUs (64 cores) for a week now and are impressed. We do most rendering with Arnold for Maya 2019. This unit gives us 8 more cores than the comparable i-X2 with Xeon dual 28 core CPUs – for about $14,000 less. We went with 256GB RAM, and two 2080 Ti cards (we’re trying out Arnold GPU Beta), and a dual port 10Gbe as this is mostly a render node for the team, several of which are on Macs. We’re pretty blown away, and are considering budgeting for another in 2020.