Launched | December 13, 2022 |
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Designed by | AMD |
Manufactured by | |
Fabrication process | |
Codename(s) |
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Product Series | |
Desktop | |
Professional/workstation | |
Specifications | |
Compute |
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Clock rate | 1500 MHz to 2500 MHz |
Shader clock rate | 2269 MHz |
L0 cache | 64 KB (per WGP):
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L1 cache | 256 KB (per array) |
L2 cache | 6 MB |
L3 cache | up to 96 MB (16 MB per MCD) |
Memory support | GDDR6 |
Memory clock rate | up to 20 Gbps |
PCIe support | PCIe 4.0 |
Supported Graphics APIs | |
Direct3D | Direct3D 12.0 Ultimate (feature level 12_2) |
Shader Model | Shader Model 6.7 |
OpenCL | OpenCL 2.1 |
OpenGL | OpenGL 4.6 |
Vulkan | Vulkan 1.3 |
Media Engine | |
Encode codecs | |
Decode codecs | |
Color bit-depth |
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Encoder(s) supported |
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Display outputs | |
History | |
Predecessor | RDNA 2 |
Variant | CDNA 3 (datacenter) |
Successor | RDNA 4 |
Support status | |
Supported |
RDNA 3 is a GPU microarchitecture designed by AMD, released with the Radeon RX 7000 series on December 13, 2022. Alongside powering the RX 7000 series, RDNA 3 is also featured in the SoCs designed by AMD for the Asus ROG Ally, Lenovo Legion Go, and the PlayStation 5 Pro consoles.
On June 9, 2022, AMD held their Financial Analyst Day where they presented a client GPU roadmap which contained mention of RDNA 3 coming in 2022 and RDNA 4 coming in 2024. [1] AMD announced to investors their intention to achieve a performance-per-watt uplift of over 50% with RDNA 3 and that the upcoming architecture would be built using chiplet packaging on a 5 nm process. [2]
A sneak preview for RDNA 3 was included towards the end of AMD's Ryzen 7000 unveiling event on August 29, 2022. The preview included RDNA 3 running gameplay of Lies of P , AMD CEO Lisa Su confirming that a chiplet design would be used, and a partial look at AMD's reference design for an RDNA 3 GPU. [3]
Full details for the RDNA 3 architecture were unveiled on November 3, 2022 at an event in Las Vegas. [4]
For the first time ever in a consumer GPU, RDNA 3 utilizes modular chiplets rather than a single large monolithic die. AMD previously had great success with its use of chiplets in its Ryzen desktop and Epyc server processors. [5] The decision to move to a chiplet-based GPU microarchitecture was led by AMD Senior Vice President Sam Naffziger who had also lead the chiplet initiative with Ryzen and Epyc. [6] The development of RDNA 3's chiplet architecture began towards the end of 2017 with Naffziger leading the AMD graphics team in the effort. [7] The benefit of using chiplets is that dies can be fabricated on different process nodes depending on their functions and intended purpose. According to Naffziger, cache and SRAM do not scale as linearly as logic does on advanced nodes like N5 in terms of density and power consumption so they can instead be fabricated on the cheaper, more mature N6 node. The use of smaller dies rather than one large monolithic die is beneficial for maximizing wafer yields as more dies can be fitted onto a single wafer. [7] Alternatively, a large monolithic RDNA 3 die built on N5 would be more expensive to produce with lower yields.
RDNA 3 uses two types of chiplets: the Graphics Compute Die (GCD) and Memory Cache Dies (MCDs). On Ryzen and Epyc processors, AMD used its PCIe-based Infinity Fabric protocol with the package's dies connected via traces on an organic substrate. This approach is easily scalable in a cost-effective manner but has the drawbacks of increased latency, increased power consumption when moving data between dies at around 1.5 picojoules per bit, and it cannot achieve the connection density needed for high-bandwidth GPUs. [8] An organic package could not host the number of wires that would be needed to connect multiple dies in a GPU. [9]
RDNA 3's dies are instead connected using TSMC's Integrated Fan-Out Re-Distribution Layer (InFO-RDL) packaging technique which provides a silicon bridge for high bandwidth and high density die-to-die communication. [10] InFO allows dies to be connected without the use of a more costly silicon interposer such as the one used in AMD's Instinct MI200 and MI300 datacenter accelerators. Each Infinity Fanout link has 9.2 Gbps in bandwidth. Naffziger explains that "The bandwidth density that we achieve is almost 10x" with the Infinity Fanout rather than the wires used by Ryzen and Epyc processors. The chiplet interconnects in RDNA achieve cumulative bandwidth of 5.3 TB/s. [10]
With a respective 2.05 billion transistors, each Memory Cache Die (MCD) contains 16 MB of L3 cache. Theoretically, additional L3 cache could be added to the MCDs via AMD's 3D V-Cache die stacking technology as the MCDs contain unused TSV connection points. [11] [12] Also present on each MCD are two physical 32-bit GDDR6 memory interfaces for a combined 64-bit interface per MCD. [13] The Radeon RX 7900 XTX has a 384-bit memory bus through the use of six MCDs while the RX 7900 XT has a 320-bit bus due to its five MCDs.
RDNA 3's Compute Units (CUs) for graphics processing are organized in dual CU Work Group Processors (WGPs). Rather than including a very large number of WGPs in RDNA 3 GPUs, AMD instead focused on improving per-WGP throughput. This is done with improved dual-issue shader ALUs with the ability to execute two instructions per cycle. It can contain up to 96 graphics Compute Units that can provide up to 61 TFLOPS of compute. [14]
While RDNA 3 doesn't include dedicated execution units for AI acceleration like the Matrix Cores found in AMD's compute-focused CDNA architectures, the efficiency of running inference tasks on FP16 execution resources is improved with Wave MMA (matrix multiply–accumulate) instructions. This results in increased inference performance compared to RDNA 2. [15] [16] WMMA supports FP16, BF16, INT8, and INT4 data types. [17] Tom's Hardware found that AMD's fastest RDNA 3 GPU, the RX 7900 XTX, was capable of generating 26 images per minute with Stable Diffusion, compared to only 6.6 images per minute of the RX 6950 XT, the fastest RDNA 2 GPU. [18]
RDNA 3 features second generation ray-tracing accelerators. Each Compute Unit contains one ray tracing accelerator. The overall number of ray tracing accelerators is increased due to the higher number of Compute Units, though the number of ray tracing accelerators per Compute Unit has not increased over RDNA 2.
RDNA 3 was designed to support high clock speeds. On RDNA 3, clock speeds have been decoupled with the front end operating at a 2.5 GHz frequency while the shaders operate at 2.3 GHz. The shaders operating at a lower clock speed gives up to 25% power savings according to AMD and RDNA 3's shader clock speed is still 15% faster than RDNA 2. [19]
RDNA 3 increased the capacity of L1 and L2 caches. The 16-way associative L1 cache shared across a shader array is doubled in RDNA 3 to 256 KB. The L2 cache increased from 4 MB on RDNA 2 to 6 MB on RDNA 3. The L3 Infinity Cache has been lowered in capacity from 128 MB to 96 MB and latency has increased as it is physically present on the MCDs rather than being closer to the WGPs within the GCD. [20] The Infinity Cache capacity was decreased due to RDNA 3 having wider a memory interface up to 384-bit whereas RDNA 2 used memory interfaces up to 256-bit. RDNA 3 having a wider 384-bit memory means that its cache hitrate does not have to be as high to still avoid bandwidth bottlenecks as there is higher memory bandwidth. [20] RDNA 3 GPUs use GDDR6 memory rather than faster GDDR6X due to the latter's increased power consumption.
RDNA 3 is the first RDNA architecture to have a dedicated media engine. It is built into the GCD and is based on VCN 4.0 encoding and decoding core. [21] AMD's AMF AV1 encoder is comparable in quality to Nvidia's NVENC AV1 encoder but can handle a higher number of simultaneous encoding streams compared to the limit of 3 on the GeForce RTX 40 series. [22]
Resolution | H.264 | H.265 | AV1 |
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1080p60 | 360 | 360 | 360 |
1440p60 | 360 | 360 | 360 |
4K60 | 180 | 180 | 240 |
8K60 | 48 | 48 | 60 |
RDNA 3 GPUs feature a new display engine called the "Radiance Display Engine". AMD touted its support for DisplayPort 2.1 UHBR 13.5, delivering up to 54Gbps bandwidth for high refresh rates at 4K and 8K resolutions. [24] The Radeon Pro W7900 and W7800 support the 80Gbps UHBR20 standard. DisplayPort 2.1 can support 4K at 480 Hz and 8K at 165 Hz with Display Stream Compression (DSC). The previous DisplayPort 1.4 standard with DSC was limited to 4K at 240 Hz and 8K at 60 Hz.
AMD claims that RDNA 3 achieves a 54% increase in performance-per-watt which is in line with their previous claims of 50% performance-per-watt increases for both RDNA and RDNA 2.
Graphics Compute Die (GCD) | Memory Cache Die (MCD) | |||||
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Navi 31 [13] | Navi 32 [25] | Navi 33 | ||||
Launch | Dec 2022 | Sep 2023 | Jan 2023 | Dec 2022 | ||
Codename | Plum Bonito | Wheat Nas | Hotpink Bonefish | — | ||
Compute units (Stream processors) [FP32 cores] | 96 (6144) [12288] | 60 (3840) [7680] | 32 (2048) [4096] | |||
Process | TSMC N5 | TSMC N6 | ||||
Transistors | 45.4 bn. | 28.1 bn. | 13.3 bn. | 2.05 bn. | ||
Transistor density | 150.2 MTr/mm2 | 143.4 MTr/mm2 | 65.2 MTr/mm2 | 54.64 MTr/mm2 | ||
Die size | 304.35 mm2 | 196 mm2 | 204 mm2 | 37.52 mm2 | ||
Max TDP | 405 W | 263 W | 200 W | — | ||
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Model (Code name) | Release Date & Price | Architecture & fab | Chiplets | Transistors & die size [lower-roman 1] | Core | Fillrate [lower-roman 2] [lower-roman 3] [lower-roman 4] | Processing power [lower-roman 2] [lower-roman 5] (TFLOPS) | Infinity Cache | Memory | TBP | Bus interface | ||||||||
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Config [lower-roman 6] | Clock [lower-roman 2] (MHz) | Texture (GT/s) | Pixel (GP/s) | Half | Single | Double | Size | Bandwidth (GB/s) | Size | Bandwidth (GB/s) | Bus type & width | Clock (MT/s) | |||||||
Radeon RX 7600 (Navi 33) [26] | May 25, 2023 $269 USD | RDNA 3 TSMC N6 | Monolithic | 13.3×109 204 mm2 | 2048:128:64:32:64 32 CU | 1720 2655 | 220.2 339.8 | 110.1 169.9 | 28.18 43.50 | 14.09 21.75 | 0.440 0.680 | 32 MB | 476.9 | 8 GB | 288 | GDDR6 128-bit | 18000 | 165 W | PCIe 4.0 ×8 |
Radeon RX 7600 XT (Navi 33) [27] [28] | Jan 24, 2024 $329 USD | 1720 2755 | 220.2 352.6 | 110.1 176.3 | 28.18 45.14 | 14.09 22.57 | 0.440 0.705 | 16 GB | 190 W | ||||||||||
Radeon RX 7700 XT (Navi 32) [29] | Sep 6, 2023 $449 USD | RDNA 3 TSMC N5 (GCD) TSMC N6 (MCD) | 1 × GCD 3 × MCD | 28.1×109 346 mm2 | 3456:216:96:54:108 54 CU | 1900 2544 | 410.4 549.5 | 182.4 244.2 | 52.53 70.34 | 26.27 35.17 | 0.821 1.099 | 48 MB | 1995 | 12 GB | 432 | GDDR6 192-bit | 245 W | PCIe 4.0 ×16 | |
Radeon RX 7800 XT (Navi 32) [30] | Sep 6, 2023 $499 USD | 1 × GCD 4 × MCD | 3840:240:96:60:120 60 CU | 1800 2430 | 432 583.2 | 172.8 233.2 | 55.30 74.65 | 27.64 37.32 | 0.864 1.166 | 64 MB | 2708 | 16 GB | 624 | GDDR6 256-bit | 19500 | 263 W | |||
Radeon RX 7900 GRE (Navi 31) [31] | Jul 27, 2023 China only, Feb 27, 2024 $549 USD | 57.7×109 529 mm2 | 5120:320:192:80:160 80 CU | 1270 2245 | 406.4 718.4 | 243.8 431.0 | 52.02 91.96 | 26.01 45.98 | 0.813 1.437 | 2250 | 576 | 18000 | 260 W | ||||||
Radeon RX 7900 XT (Navi 31) [32] | Dec 13, 2022 $899 USD | 1 × GCD 5 × MCD | 5376:336:192:84:168 84 CU | 1500 2400 | 504.0 806.4 | 288.0 460.8 | 64.51 103.2 | 32.26 51.61 | 1.008 1.613 | 80 MB | 2900 | 20 GB | 800 | GDDR6 320-bit | 20000 | 315 W | |||
Radeon RX 7900 XTX (Navi 31) [33] | Dec 13, 2022 $999 USD | 1 × GCD 6 × MCD | 6144:384:192:96:192 96 CU | 1900 2500 | 729.6 960.0 | 364.8 480.0 | 93.39 122.9 | 46.69 61.44 | 1.459 1.920 | 96 MB | 3500 | 24 GB | 960 | GDDR6 384-bit | 355 W |
Model (Code name) | Release date | Architecture & fab | Chiplets | Transistors & die size | Core | Fillrate [lower-alpha 1] [lower-alpha 2] [lower-alpha 3] | Processing power [lower-alpha 1] [lower-alpha 4] (TFLOPS) [lower-alpha 5] | Infinity Cache | Memory | TDP | Interface | |||||||
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Config [lower-alpha 6] | Clock [lower-alpha 1] (MHz) | Texture (GT/s) | Pixel (GP/s) | Half | Single | Double | Size | Bandwidth (GB/s) | Bus type & width | Clock (MT/s) | ||||||||
Radeon RX 7600S (Navi 33) [34] | Jan 4, 2023 | RDNA 3 TSMC N6 | Monolithic | 13.3×109 204 mm2 | 1792:112:64:28:56 28 CU | 1500 2200 | 168.0 246.4 | 96.00 140.8 | 21.50 31.54 | 10.75 15.77 | 0.336 0.493 | 32 MB | 8 GB | 256 | GDDR6 128-bit | 16000 | 75 W | PCIe 4.0 ×8 |
Radeon RX 7600M (Navi 33) [35] | 1500 2410 | 168.0 269.9 | 96.0 154.2 | 21.50 34.55 | 10.75 17.28 | 0.336 0.540 | 90 W | |||||||||||
Radeon RX 7600M XT (Navi 33) [36] | 2048:128:64:32:64 32 CU | 1500 2615 | 192.0 334.1 | 96.00 167.0 | 24.58 42.84 | 12.29 21.42 | 0.384 0.669 | 288 | 18000 | 120 W | ||||||||
Radeon RX 7700S (Navi 33) [37] | 1500 2500 | 192.0 320.0 | 96.0 160.0 | 24.58 40.96 | 12.29 20.48 | 0.384 0.640 | 100 W | |||||||||||
Radeon RX 7900M (Navi 31) [38] | Oct 19, 2023 | RDNA 3 TSMC N5 (GCD) TSMC N6 (MCD) | 1 × GCD 4 × MCD | 57.7×109 529 mm2 | 4608:288:192:72:144 72 CU | 2090 | 601.9 | 401.3 | 77.05 | 38.52 | 1.204 | 64 MB | 16 GB | 576 | GDDR6 256-bit | 180 W | PCIe 4.0 ×16 |
Model (Code name) | Release Date & Price | Architecture & fab | Chiplets (active) | Transistors & die size [lower-alpha 1] | Core | Fillrate [lower-alpha 2] [lower-alpha 3] [lower-alpha 4] | Processing power [lower-alpha 2] [lower-alpha 5] (TFLOPS) | Infinity Cache | Memory | TDP | Bus interface | |||||||
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Config [lower-alpha 6] [lower-alpha 7] | Clock [lower-alpha 2] (MHz) | Texture (GT/s) | Pixel (GP/s) | Half | Single | Double | Size | Bandwidth (GB/s) | Bus type & width | Clock (MT/s) | ||||||||
Radeon Pro W7500 (Navi 33) [39] [40] | Aug 3, 2023 $429 USD | RDNA 3 TSMC N6 | — | 13.3×109 204 mm2 | 1792:112:64 28:56:28 CU | 1500 1700 | 168.0 190.4 | 96.0 108.8 | 24.37 | 12.19 | 0.381 | 32 MB | 8 GB | 172 | GDDR6 128-bit | 18000 | 70 W | PCIe 4.0 ×8 |
Radeon Pro W7600 (Navi 33) [39] [41] | Aug 3, 2023 $599 USD | 2048:128:64 32:64:32 CU | 1720 2440 | 220.1 312.3 | 110.0 156.2 | 39.98 | 19.99 | 0.625 | 288 | 130 W | ||||||||
Radeon Pro W7700 (Navi 32) | Nov 13, 2023 $999 USD | RDNA 3 TSMC N5 (GCD) TSMC N6 (MCD) | 1 × GCD 4 × MCD | 28.1×109 ~346 mm2 | 3072:192:96 48:96:48 CU | 1900 2600 | 364.8 499.2 | 182.4 249.2 | 56.54 | 28.3 | 0.884 | 64 MB | 16 GB | 576 | GDDR6 256-bit | 190 W | PCIe 4.0 ×16 | |
Radeon Pro W7800 (Navi 31) [42] [43] | Apr 13, 2023 $2499 USD | 57.7×109 ~531 mm2 | 4480:280:128 70:128:70 CU | 1855 2499 | 519.4 699.7 | 237.4 319.8 | 90.50 | 45.25 | 1.414 | 32 GB | 260 W | |||||||
Radeon Pro W7900 Dual Slot (Navi 31) [44] [45] | Jun 19, 2024 $3499 USD | 1 × GCD 6 × MCD | 6144:384:192 96:192:96 CU | 1855 2495 | 712.3 958.0 | 356.1 479.0 | 122.6 | 61.32 | 1.916 | 96 MB | 48 GB | 864 | GDDR6 384-bit | 295 W | ||||
Radeon Pro W7900 (Navi 31) [42] [46] | Apr 13, 2023 $3999 USD |
Model | Launch | Codename | Architecture & fab | Die size | Core | Fillrate [lower-alpha 1] [lower-alpha 2] [lower-alpha 3] | Processing power [lower-alpha 1] [lower-alpha 4] (GFLOPS) | Cache | TDP | ||||||
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Config [lower-alpha 5] [lower-alpha 6] | Clock [lower-alpha 1] (MHz) | Texture (GT/s) | Pixel (GP/s) | Half [FP16] | Single [FP32] | Double [FP64] | L0 | L1 | L2 | ||||||
RDNA 3 | |||||||||||||||
Radeon 740M | Apr 2023 | Phoenix Hawk Point | RDNA 3 TSMC N4 | 178 mm2 | 4 CUs 256:16:8:4 | 2,500 | 40.0 | 20.0 | 5,120 | 2,560 | 80.0 | 64 KB | 512 KB | 2 MB | 15–30 W |
Radeon 760M | 8 CUs 512:32:16:8 | 1,000 2,600 | 32.0 83.2 | 21.3 55.5 | 4,096 10,649 | 2,048 5,324 | 64.0 166.4 | 128 KB | 1 MB | 15–65 W | |||||
Radeon 780M | 12 CUs 768:48:24:12 | 1,000 2,800 | 40.0 | 20.0 | 6,144 17,203 | 3,072 8,601 | 192 537.6 | 192 KB | 1.5 MB | ||||||
Ryzen Z1 | Jun 13, 2023 | 4 CUs 256:16:8:4 | 2,500 | 40.0 | 20.0 | 5,120 | 2,560 | 80.0 | 64 KB | 512 KB | 9–30 W | ||||
Ryzen Z1 Extreme | 12 CUs 768:48:24:12 | 2,800 | 134.4 | 67.2 | 17,203 | 8,600 | 268.8 | 192 KB | 1.5 MB | ||||||
RDNA 3.5 | |||||||||||||||
Radeon 880M | Jul 2024 | Strix Point | RDNA 3.5 TSMC N4P | 232.5 mm2 | 12 CUs 768:48:24:12 | 2,900 | 139.2 | 69.6 | 17,818 | 8,909 | 278.4 | 192 KB | 1.5 MB | 2 MB | 15–54 W |
Radeon 890M | 16 CUs 1024:64:32:16 | 2,900 | 185.6 | 92.8 | 23,757 | 11,878 | 371.2 | 256 KB | 2 MB |
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We asked whether AMD would include some form of tensor core or matrix core in the architecture, similar to what both Nvidia and Intel are doing with their GPUs. He responded that the split between RDNA and CDNA means stuffing a bunch of specialized matrix cores into consumer graphics products really isn't necessary for the target market, plus the FP16 support that already exists in previous RDNA architectures should prove sufficient for inference-type workloads.