AMD Instinct MI325X
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Instinct MI325X Specifications
Instinct MI325X GPU Core
Shader units and compute resources
The AMD Instinct MI325X GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
Instinct MI325X Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Instinct MI325X's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The Instinct MI325X by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Instinct MI325X Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Instinct MI325X's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
Instinct MI325X by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Instinct MI325X, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
Instinct MI325X Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Instinct MI325X against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
CDNA 3.0 Architecture & Process
Manufacturing and design details
The AMD Instinct MI325X is built on AMD's CDNA 3.0 architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the Instinct MI325X will perform in GPU benchmarks compared to previous generations.
AMD's Instinct MI325X Power & Thermal
TDP and power requirements
Power specifications for the AMD Instinct MI325X determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the Instinct MI325X to maintain boost clocks without throttling.
Instinct MI325X by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Instinct MI325X are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
AMD API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the AMD Instinct MI325X. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
Instinct MI325X Product Information
Release and pricing details
The AMD Instinct MI325X is manufactured by AMD as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the Instinct MI325X by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Instinct MI325X Benchmark Scores
No benchmark data available for this GPU.
About AMD Instinct MI325X
The AMD Instinct MI325X is a data-center accelerator built for massive AI and HPC workloads, not a typical consumer graphics card. It is a compute-first product with no display outputs and no traditional graphics pipeline, so the data must be read through that lens. The benchmark results place it at the 50th percentile against all GPUs in the database, which is a direct consequence of its zero gaming benchmark scores, the hardware is designed for a different class of work entirely.
Memory Subsystem
The MI325X carries a staggering 256 GB of HBM3e memory, which is the largest capacity available on any accelerator in this class. The memory bus is 8192 bit wide, and the effective bandwidth is 6.14 TB/s. These are not incremental numbers; they represent a fundamental shift in what a single accelerator can hold and process. For high-resolution workloads, this memory capacity is the defining feature. A model that requires the entire dataset to reside in fast memory, such as a large language model with hundreds of billions of parameters, can be loaded in full on this single card. The bandwidth figure means that data can be fed to the compute cores at a rate that keeps them busy, avoiding the classic bottleneck where the processor stalls waiting for data.
The 6.14 TB/s bandwidth is roughly an order of magnitude higher than what a typical consumer GPU with GDDR6X or GDDR7 would offer, and the 256 GB capacity is several times larger than even the most high-end workstation cards. For multi-resolution rendering or training, the implication is that you can keep multiple datasets in-flight simultaneously without swapping to system memory. There is no need to manage memory paging or offloading to slower storage for the largest workloads. The bus width of 8192 bit is the physical enabler of this bandwidth; it is twice the width of most professional GPUs, which is why the per-pin data rate can remain modest while the total throughput is astronomical. The memory clock is listed as 1500 MHz 6 Gbps effective, which is a conservative clock speed, but the sheer width of the bus compensates completely. This is a system designed not for graphical fidelity but for data throughput.
Power and Cooling
The thermal design power (TDP) of the MI325X is 1000 W, which places it in the top tier of power-hungry accelerators. This is a sustained power draw, not a peak burst, and it has direct consequences for system design. The suggested PSU is 1400 W, but that is a recommendation for the entire system, not just the card. In a multi-GPU server, the power delivery requirements scale linearly with the number of accelerators. The card itself uses a OAM Module slot width, which is a standard form factor for open-accelerator modules in data centers. This is not a PCIe slot card; the physical mounting is different.
The power connectors are listed as None, which is a critical detail. OAM modules receive power through the baseboard, not through traditional 8-pin or 16-pin connectors. This means the card cannot be retrofitted into a standard desktop chassis. The cooling solution must also be designed for this form factor. The 1000 W TDP requires a robust thermal solution, typically a high-airflow server chassis with direct-attach heatsinks or a liquid-cooled loop. The card has No outputs, so it is not meant to be near a display; it is a headless compute node. The PCIe interface is PCIe 5.0 x16, which provides the host connection for data transfer, but the power delivery is entirely separate. For a system builder, the key takeaway is that this is a server-grade component requiring a matching platform. You cannot plug this into a consumer motherboard and expect it to work, regardless of PSU wattage.
Benchmark Performance
The benchmark data shows an avgBenchmarkScore of 0 and a percentileVsAllGpus of 50. These are the only performance metrics available, and they require interpretation. The zero score is not an indication of poor performance; it is a direct result of the benchmark suite used by this database, which is composed of gaming and rasterization tests. The MI325X does not execute these tests because it has no fixed-function graphics hardware. The ROPs count is 0, and the pixel rate is 0 MPixel/s, confirming that it does not perform traditional screen-space rendering. The FP32 compute is 81.72 TFLOPS, and FP16 is 81.72 TFLOPS (1:1), which means the card is not artificially halving its rate for reduced precision. This is a pure compute engine.
The 81.72 TFLOPS FP32 figure is the number to focus on. This is a measure of single-precision floating-point operations per second, and it is higher than almost any other accelerator on the market. For comparison, most high-end consumer GPUs are in the 40–60 TFLOPS range for FP32. The MI325X is not just ahead; it is in a different class. The texture rate is 2,553.6 GTexel/s, which is a measure of how fast it can fetch and filter texture data, a metric that is less relevant for compute but still indicates the raw throughput of the shader array. The shading units are 19456, and the TMUs are 1216, which are large counts, but they are used for general-purpose compute, not graphics. The lack of nearest rivals in the data means we cannot provide exact percentage deltas, but the absolute numbers place it at the top of the compute spectrum. The 50th percentile rank is a statistical artifact of being compared against gaming GPUs with actual benchmark scores; in a compute-only comparison, it would be near the top.
Who Should Consider It
This accelerator is for workloads that are memory-bound and compute-intensive. The 256 GB memory capacity is the primary filter. If you are training or running inference on models that exceed 128 GB, this card is one of the few options that can fit the entire model in memory. The 6.14 TB/s bandwidth means that even for models that fit, you will not be slowed by memory transfer. The FP32 and FP16 performance of 81.72 TFLOPS is suitable for dense matrix operations common in deep learning, scientific simulation, and data processing. For high-resolution workloads specifically, the memory size is the deciding factor. In image-based rendering or video processing, you can hold multiple high-resolution frames or volumes in memory simultaneously, avoiding the need for tiling or streaming.
For settings-based recommendations, the data does not support a direct mapping to gaming resolution presets. The card has no display outputs, so it cannot drive a monitor. Instead, think in terms of data resolution: the memory is sufficient for 8K texture atlases, full volumetric datasets, or large sparse matrices. The PCIe 5.0 x16 interface ensures that data can be moved from the host CPU to the card quickly, but the card is designed to operate as a standalone compute node. The 1000 W TDP and OAM Module form factor mean this is not a desktop part. It belongs in a rack-mounted server with adequate power and cooling. The 1400 W suggested PSU is for the host system, but in a multi-card configuration, the power budget will dominate the system design.
Ray Tracing and Feature Set
There are no ray tracing cores listed in the data, and the rtCores field is null. This is because the CDNA 3.0 architecture is not designed for real-time ray tracing in the traditional sense. The card has no DirectX, OpenGL, or Vulkan support, as indicated by the N/A values for all APIs. This is a compute-only accelerator. The tensorCores field is also null, but that does not mean there is no matrix acceleration. The CDNA 3.0 architecture implements matrix operations through the shader array, and the 81.72 TFLOPS FP16 rate is the relevant figure for AI workloads. The FP16 rate being 1:1 to FP32 is notable; it means there is no penalty for using half precision, which is common in training and inference.
The feature set is minimal by design. The card has No outputs, so it cannot display an image. It does not support any graphics APIs, so it cannot run games or traditional rendering software. The process node is 5 nm at TSMC, with 153,000 million transistors on a 1017 mm² die. This is a massive chip, and the transistor density of 150.4M / mm² is a reflection of the mature 5 nm process. The texture rate of 2,553.6 GTexel/s is a theoretical maximum for texture operations, but it is not a practical metric for this card. The pixel rate of 0 MPixel/s confirms that rasterization is not part of its function. For users who need ray tracing, this is the wrong product. For users who need matrix multiplication and memory capacity, this is a purpose-built tool.
FAQ
Q: What is the memory capacity and type of the AMD Instinct MI325X?
A: The card has 256 GB of HBM3e memory on an 8192 bit bus, providing 6.14 TB/s of bandwidth.
Q: Does the MI325X support standard graphics APIs like DirectX or Vulkan?
A: No. The API support for DirectX, OpenGL, and Vulkan is listed as N/A, and the card has no display outputs.
Q: What is the power consumption and what power supply is recommended?
A: The TDP is 1000 W, and the suggested PSU for the system is 1400 W. The card uses a OAM Module slot width with no power connectors, receiving power from the baseboard.
Q: What is the FP32 compute performance of the MI325X?
A: The FP32 performance is 81.72 TFLOPS, with the same 81.72 TFLOPS rate for FP16 (1:1).
Q: What is the manufacturing process and die size?
A: The chip is manufactured on a 5 nm process by TSMC, with 153,000 million transistors on a 1017 mm² die.
Q: Does the MI325X have ray tracing cores?
A: The data lists rtCores as null, indicating there are no dedicated ray tracing cores. The architecture is compute-focused, not graphics-focused.
How It Compares
The nearest rivals list is empty, which means there are no direct comparison scores in the database. This is expected for a product with no gaming benchmarks. The percentileVsAllGpus of 50 places it exactly in the middle of the database, but this is misleading. All other GPUs in the database have non-zero benchmark scores from gaming tests, while the MI325X has a score of 0 because it cannot run those tests. In a comparison against other compute accelerators, the 81.72 TFLOPS FP32 figure would place it above most competitors. The 256 GB memory capacity is unmatched by any consumer or workstation GPU, which typically max out at 24–48 GB. The 6.14 TB/s bandwidth is also higher than any single GPU in the database. The lack of rivals in the data means we cannot provide percentage deltas, but the absolute specifications are sufficient to establish its position: this is a niche product for a specific workload, and it dominates that niche. For any other workload, it is not a competitor because it lacks the necessary features. The comparison is not about speed; it is about capability.
The NVIDIA Equivalent of Instinct MI325X
Looking for a similar graphics card from NVIDIA? The NVIDIA GeForce RTX 4070 GDDR6 offers comparable performance and features in the NVIDIA lineup.
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