AMD Instinct MI308X vs NVIDIA RTX 4000 Mobile Ada Generation Comparison
AMD Instinct MI308X
RTX 4000 Mobile Ada Generation
Analysis: AMD Instinct MI308X vs NVIDIA RTX 4000 Mobile Ada Generation
Head-to-Head Benchmarks
The database records no direct benchmark comparisons between the AMD Instinct MI308X and the NVIDIA RTX 4000 Mobile Ada Generation. Both entries hold a percentile score of 50 against all GPUs, with an average benchmark score of 0. This means neither part has a recorded performance sample in the database, so no head-to-head deltas or win counts can be derived from measured data.
The absence of benchmark data is itself informative. The MI308X is an accelerator with no display outputs and no DirectX, OpenGL, or Vulkan API support, so it targets compute workloads rather than graphics rendering. The RTX 4000 Mobile Ada is a laptop GPU with full graphics API support, including DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The database shows zero wins for either side, which reflects the lack of overlapping test suites rather than any performance equivalence.
For raw compute throughput, the specification sheets provide the only numbers. The MI308X lists FP32 performance of 81.72 TFLOPS and FP16 performance of 81.72 TFLOPS with a 1:1 ratio. The RTX 4000 Mobile lists 24.72 TFLOPS for both FP32 and FP16, also at 1:1. The MI308X therefore offers roughly 3.3 times the FP32 throughput on paper, and the same ratio applies to FP16. Texture rate follows a similar pattern: the MI308X records 2,553.6 GTexel/s versus 386.3 GTexel/s for the RTX 4000 Mobile, a factor of about 6.6.
The RTX 4000 Mobile counters with pixel throughput. It records 133.2 GPixel/s, while the MI308X lists 0 MPixel/s, because the AMD part has no raster output units. The NVIDIA part also brings 58 ray tracing cores and 232 tensor cores, features that the MI308X does not list at all. In graphics-specific workloads, the RTX 4000 Mobile has the only available capabilities, while the MI308X cannot render frames by design.
Memory bandwidth heavily favors the AMD accelerator. The MI308X uses HBM3 with a 8192-bit bus and reaches 5.32 TB/s. The RTX 4000 Mobile uses GDDR6 with a 192-bit bus and reaches 432.0 GB/s. That is a 12.3 times bandwidth advantage for the MI308X. Memory capacity differs similarly: 192 GB versus 12 GB, a 16 times difference.
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The AMD Instinct MI308X records 81.72 TFLOPS FP32, while the NVIDIA RTX 4000 Mobile Ada Generation records 24.72 TFLOPS. The MI308X is about 3.3 times higher on paper.
Q: Does the AMD Instinct MI308X support graphics APIs?
A: No. The database lists DirectX as N/A, OpenGL as N/A, and Vulkan as N/A for the MI308X. It also has no display outputs. The RTX 4000 Mobile supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.
Q: What is the memory capacity difference?
A: The MI308X has 192 GB of HBM3 memory, while the RTX 4000 Mobile has 12 GB of GDDR6. The MI308X also uses a 8192-bit bus versus a 192-bit bus.
Q: Which part has ray tracing and tensor core hardware?
A: The RTX 4000 Mobile lists 58 ray tracing cores and 232 tensor cores. The MI308X does not list any values for those fields in the database.
Q: What are the power consumption figures?
A: The MI308X has a TDP of 750 W and a suggested PSU of 1150 W. The RTX 4000 Mobile has a TDP of 110 W and no suggested PSU figure.
Q: Which GPU has a higher boost clock?
A: The MI308X boosts to 2100 MHz, while the RTX 4000 Mobile boosts to 1665 MHz. The base clocks are 1000 MHz for the MI308X and 1290 MHz for the RTX 4000 Mobile.
Architecture Differences
The two GPUs come from entirely different design philosophies. The MI308X uses AMD's CDNA 3.0 architecture, built for compute acceleration, and the RTX 4000 Mobile uses NVIDIA's Ada Lovelace architecture, designed for graphics and ray tracing. This split shows up in nearly every structural choice.
The MI308X is built on the Aqua Vanjaram chip, with 153,000 million transistors on a 1017 mm² die. The RTX 4000 Mobile uses the AD104 chip, with 35,800 million transistors on a 294 mm² die. Both use a 5 nm process from TSMC, but the transistor density differs: 150.4 million transistors per mm² for the AMD chip versus 121.8 million per mm² for the NVIDIA chip. The MI308X therefore packs more logic into a much larger area, which is consistent with a server accelerator that has no graphics pipeline.
The MI308X has 19,456 shading units and 1,216 texture mapping units, but zero raster output units. This is a compute-first layout: it can process vertices and texels for non-graphics workloads, but it cannot generate pixels for display. The RTX 4000 Mobile has 7,424 shading units, 232 texture mapping units, and 80 raster output units, plus dedicated ray tracing and tensor cores. The NVIDIA part is a full graphics processor with fixed-function hardware for real-time rendering.
Memory architecture reinforces the divergence. The MI308X uses HBM3 with an 8192-bit interface, which explains the 5.32 TB/s bandwidth. The RTX 4000 Mobile uses GDDR6 with a 192-bit interface, yielding 432.0 GB/s. HBM3 is a stacked, high-bandwidth memory designed for large working sets, while GDDR6 is a conventional discrete memory used in mobile graphics. The MI308X also has no power connectors, as it is an OAM Module format, whereas the RTX 4000 Mobile is an IGP (integrated graphics processor) package for laptops.
The MI308X lacks any display outputs and has no graphics API support. The RTX 4000 Mobile lists "Portable Device Dependent" display outputs and full API compatibility. The AMD card is also not marked as Active in production status, while the NVIDIA card is Active. The release dates differ by about 8.5 months: the MI308X was released on 2023-12-05, and the RTX 4000 Mobile on 2023-03-20.
Specification Differences
The two parts differ on nearly every measurable specification in the database. The table below summarizes the key fields where they diverge.
| Specification | AMD Instinct MI308X | NVIDIA RTX 4000 Mobile Ada |
|---|---|---|
| Architecture | CDNA 3.0 | Ada Lovelace |
| Process node | 5 nm | 5 nm |
| Transistors | 153,000 million | 35,800 million |
| Die size | 1017 mm² | 294 mm² |
| Transistor density | 150.4M / mm² | 121.8M / mm² |
| Base clock | 1000 MHz | 1290 MHz |
| Boost clock | 2100 MHz | 1665 MHz |
| Memory clock | 1300 MHz, 5.2 Gbps effective | 2250 MHz, 18 Gbps effective |
| Memory size | 192 GB | 12 GB |
| Memory type | HBM3 | GDDR6 |
| Memory bus width | 8192 bit | 192 bit |
| Memory bandwidth | 5.32 TB/s | 432.0 GB/s |
| Shading units | 19,456 | 7,424 |
| Texture mapping units | 1,216 | 232 |
| Raster output units | 0 | 80 |
| Ray tracing cores | Not listed | 58 |
| Tensor cores | Not listed | 232 |
| Pixel rate | 0 MPixel/s | 133.2 GPixel/s |
| Texture rate | 2,553.6 GTexel/s | 386.3 GTexel/s |
| FP32 performance | 81.72 TFLOPS | 24.72 TFLOPS |
| FP16 performance | 81.72 TFLOPS | 24.72 TFLOPS |
| TDP | 750 W | 110 W |
| Slot width | OAM Module | IGP |
| Bus interface | PCIe 5.0 x16 | PCIe 4.0 x16 |
| Display outputs | No outputs | Portable Device Dependent |
| DirectX | N/A | 12 Ultimate (12_2) |
| OpenGL | N/A | 4.6 |
| Vulkan | N/A | 1.4 |
| Production status | Not listed | Active |
| Release date | 2023-12-05 | 2023-03-20 |
The MI308X has a higher boost clock by 435 MHz, but a lower base clock by 290 MHz. The NVIDIA part has a higher memory clock in absolute terms (2250 MHz versus 1300 MHz), but the effective data rate notation differs: 18 Gbps versus 5.2 Gbps. The MI308X uses PCIe 5.0 x16, while the RTX 4000 Mobile uses PCIe 4.0 x16. The MI308X has a much higher TDP at 750 W versus 110 W, reflecting the server form factor.
Where Each One Wins
The MI308X wins decisively in compute throughput and memory capacity. Its 81.72 TFLOPS FP32 and FP16 figures are more than triple the RTX 4000 Mobile's 24.72 TFLOPS. The 192 GB HBM3 memory with 5.32 TB/s bandwidth is a 16 times capacity advantage and a 12.3 times bandwidth advantage. Texture rate also favors the AMD part at 2,553.6 GTexel/s versus 386.3 GTexel/s. These numbers point to workloads that need large models, massive data sets, or sustained floating-point math, such as training or inference on large neural networks, scientific simulation, or data-center scale processing.
The RTX 4000 Mobile wins in graphics-specific features and practical deployment. It has 80 raster output units and a pixel rate of 133.2 GPixel/s, while the MI308X has zero pixel throughput. The NVIDIA part includes 58 ray tracing cores and 232 tensor cores, which the database does not list for the AMD card. It also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it usable for real-time rendering, game development, or any graphics application. Its 110 W TDP and IGP form factor mean it can fit in a laptop, whereas the MI308X requires an OAM Module slot with a 750 W TDP and a suggested PSU of 1150 W.
The RTX 4000 Mobile also has a higher base clock (1290 MHz versus 1000 MHz) and a higher memory clock (2250 MHz versus 1300 MHz), which helps in latency-sensitive or lightly threaded tasks. Its production status is Active, while the MI308X has no production status listed, suggesting the NVIDIA part is the one currently available for purchase.
The Verdict
Based strictly on the recorded data, the AMD Instinct MI308X is the choice for compute-heavy, non-graphics workloads. It delivers 3.3 times the FP32 throughput, 16 times the memory capacity, and 12.3 times the memory bandwidth of the RTX 4000 Mobile. Its lack of display outputs and graphics API support means it cannot render frames, but that is not its purpose. The 750 W TDP and OAM Module format indicate a data-center accelerator designed for dense computation.
The NVIDIA RTX 4000 Mobile Ada Generation is the choice for any workload that requires graphics output, ray tracing, or laptop deployment. It is the only one of the two with raster output units, ray tracing cores, tensor cores, and full API support. Its 110 W TDP and IGP slot width make it suitable for mobile systems. The lower compute figures are irrelevant if the task needs a display or a rendering pipeline.
The database shows no benchmark overlap, so no direct performance comparison can be made. However, the specification differences are stark enough to separate the use cases. A builder assembling a compute node for large-scale parallel math should look at the MI308X. A builder configuring a portable workstation for graphics development or real-time rendering should look at the RTX 4000 Mobile. The release dates also matter: the MI308X came out on 2023-12-05, and the RTX 4000 Mobile on 2023-03-20. Both are 5 nm parts from TSMC, but they serve different markets entirely.