Gigabyte H261-Z60 Server Review 2U4N AMD EPYC for Dense Compute


Gigabyte H261-Z60 Node Topology

One of the really interesting aspects to the Gigabyte H261-Z60 that we think our readers will be especially intrigued by is how AMD EPYC provides a differentiated experience versus Intel Xeon Scalable in 2U4N. The Gigabyte H261-Z60 shows why an AMD EPYC 2U4N solution is perfectly viable using single CPU configurations, something that Intel cannot match. To start understanding why, here is the official motherboard block diagram to frame our discussion:

Gigabyte MZ61 HD0 Block Diagram
Gigabyte MZ61 HD0 Block Diagram

To illustrate why this is important, here is a dual processor node. One can see, all devices are attached to the first CPU. If we had a second M.2 device that would be on the second processor, but here, all I/O is attached to a single CPU.

Gigabyte MZ61 HD0 2P Lstopo
Gigabyte MZ61 HD0 2P Topology Example

For AMD EPYC, this is important since it means that you can use all storage and expansion options, save the second M.2 slot, with a single CPU instead of having to use dual CPUs. Here is a single CPU example with a Mellanox NIC in the top left PCIe x16 slot.

Gigabyte MZ61 HD0 1P Lstopo
Gigabyte MZ61 HD0 1P Topology Example

Topology in AMD EPYC is important since it means that one can effectively use “P” series CPUs with this platform. Instead of two 16 core sockets, one can use an AMD EPYC 7551P with 32 cores and save money on the initial server hardware, and also halve VMware ESXi license costs. In a 2U4N chassis, those VMware savings can be tens of thousands of dollars per chassis.

With the PCIe x16 slots plus OCP mezzanine slot available, one has 48 PCIe lanes dedicated to those three I/O slots, plus four more for the M.2. That is 52 lanes or 4 more than the Intel Xeon Scalable single processor solution has. The additional 12 lanes from the first CPU are powering the BMC, 1GbE NICs, and the SATA III ports. One can add 50GbE or 100GbE OCP Mezzanine cards and use the PCIe x16 lanes for external hard drive arrays, NVMe JBOFs, or even GPUs and accelerators in external chassis. With Intel Xeon Scalable to achieve this level of connectivity, two CPUs must be used. With AMD EPYC, a single, lower-cost CPU can be used. A very valid use case is to use the Gigabyte H261-Z60 as a 2U4N system with one CPU per node.

Next, we are going to explore the management options before moving onto the power and performance testing.

Design & Aesthetics
Feature Set
Previous articlePutting AWS Graviton and its Arm CPU Performance in Context
Next articleSynology RackStation RS1619xs Plus Launched
Patrick has been running STH since 2009 and covers a wide variety of SME, SMB, and SOHO IT topics. Patrick is a consultant in the technology industry and has worked with numerous large hardware and storage vendors in the Silicon Valley. The goal of STH is simply to help users find some information about server, storage and networking, building blocks. If you have any helpful information please feel free to post on the forums.
gigabyte-h261-z60-server-review-2u4n-amd-epycOur Gigabyte H261-Z60 server review shows how this 2U 4-node AMD EPYC server is targeted at dense compute deployments. We test the server with 256 core and 512 threads to see how it performs versus four 1U servers using fewer cables, using fewer components, and achieving lower power consumption.


  1. Great STH review!

    One thing though – how about linking the graphics to a full size graphics files? it’s really hard to read text inside these images…

  2. My old Dell C6105 burned in fire last May and I hadn’t fired it up for a year or more before that, but I recall using a single patch cable to access the BMC functionality on all 4 nodes. There may be critical differences, but that ancient 2U4N box certainly provided single-cable access to all 4 nodes.

    Other than the benefits of html5 and remote media, what’s the standout benefit of the new CMC?


Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.