RDNA vs Navi vs GCN – What Is The Difference?

When it comes to GPUs, you might have heard the words RDNA, GCN, and Navi been thrown around. Here's the ultimate guide on how they are different.

If you have recently been looking to buy a new graphics card, you have probably stumbled across these terms and wondered what they mean. It’s time to break them down to understand what’s what.

It’s natural to be confused, especially as Navi and RDNA have incorrectly been used interchangeably. As this is a rather complex topic, we will cover the basics first.

Firstly, there is the Instruction Set Architecture or ISA, which can be thought of as an abstract model of a computer. It defines the supported data types, registers, hardware support for managing main memory, and the input/output model of a family of implementations of the ISA. Simply put, it is an interface between hardware and software.

Microarchitecture is the way a given ISA is implemented in a specific processor. This means Computer Architecture is the combination of Microarchitecture and ISA.

To simplify, RDNA and GCN are the codenames for both ISA and Microarchitecture for AMD GPUs. Navi is the codename for the GPUs made with these architectures. With that out of the way, it’s time to get technical.

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Graphics Core Next (GCN)

AMD Radeon RX Vega

Let’s start with Graphics Core Next or GCN.

This is AMD’s codename for both a series of microarchitectures and an instruction set which was, back in 2012, part of a released product for the first time.

PCIe 3.0 standard was originally used, but understandably, these products are far less power-efficient by today’s standards. Cards prior to GCN 4.0 were made on the 28nm manufacturing process, while their successors used the 14nm process.

Another clear benefit of these cards is the fact that they supported GDDR5 memory; some later models even supported HBM2 and HBM memory. It’s worth noting that GCN is also used in graphics portions of AMD’s Accelerated Processing Units, such as those in PlayStation 4 and Xbox One APUs.

Radeon DNA (RDNA)

AMD RDNA - The Next Generation Of Gaming

RDNA is a quite recent item. It is the immediate heir of GCN and was showcased for the initial occasion on the Radeon RX 5000 series that unveiled in 2019.

Naturally, it attempted to outdo GCN’s capabilities with its ability to support GDDR6 memory and PCIe 4.0 bus interface, which almost doubles the bandwidth offered by PCIe 3.0.

It also features an enhanced rendering pipeline, multilevel cache, operating primitive shaders, and a modernized display controller. It is currently manufactured using the 7nm process.


Radeon Rx Navi

Navi refers to the GPU series constructed on the RDNA architecture with FinFET’s 7nm process. This is where things could become perplexing but think of RDNA as a more inclusive term, as Navi GPUs have, so far, been exclusively found in the RX 5000 series and expanded to the RX 6000 series in 2020.


The rule of thumb in the technology world is that newer equals better. That is no different in this case. This doesn’t mean that GCN isn’t good, but considering the increasing demands and technological advances, it falls short of RDNA’s results.

The recent processing units of RDNA were modified to provide better efficiency advancements and boost the performance of one task compared to the previous GCN units.

RDNA’s IPC is 1, which is a significant upgrade from GCN’s 0.25. This means that RDNA can perform four times as many instructions per cycle, which is a crucial aspect of gaming.

The width of the wavefront of RDNA, 32, is also a big improvement compared to GCN’s 64. In other words, for GCN, this meant that 64 threads were bundled together for execution. This increases single-threaded performance by decreasing clock cycles, which comes in handy in games.

Something else that AMD has done in favor of RDNA was to expand the width of their SIMDs from 16 to 32, which means the size of the wavefront now matches the size of the SIMD.

GCN combined the shader hardware into “compute units,” which contained memory access, LDS, scalar ALUs, and vector ALUs. One of these units contains 4 SIMD16s that share one path to memory.

In turn, RDNA has a “workgroup processor” that replaces the compute unit as the base shader computation unit with a 2 to 1 ratio. In practice, this allows RDNA to have more computing power and also more memory bandwidth, which can be steered at a single workgroup.

is yet another breakthrough brought by RDNA. This hierarchy decreases the cache latency at every level, enhances load bandwidth two-fold, and enhances effective bandwidth. Essentially, double the amount of work is achievable with the same amount of power.

RDNA vs. Navi

There isn’t much to be said about this, but as RDNA came out as a clear winner in comparison to GCN, it’s only fair to mention Navi as well.

As previously mentioned, Navi refers mostly to the RX 5000 series’ use of RDNA, so these two terms are about as comparable as apples and oranges. Well, perhaps Braeburn apples and Granny Smith apples.


Once you understand these confusing terms, it’s clear that RDNA is the most advanced technology of the three. As such, it’s probably the safest choice at the moment.

It is important to mention that AMD launched RDNA 2 in the later part of 2020. Furthermore, RDNA 2 or “Big Navi” (to add more confusion) is included in Microsoft’s next-generation Xbox Series X and its rival from Sony, PlayStation 5.

For now, endurance might pay off; you should be able to get your hands on an even fresher option in the next few months.

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Aleksandar Cosic

Alex is a Computer Science student and a former game designer. That has enabled him to develop skills in critical thinking and fair analysis. As a CS student, Aleksandar has very in-depth technical knowledge about computers, and he also likes to stay current with new technologies.