AMD Radeon AI PRO 9600D
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Radeon AI PRO 9600D Specifications
Radeon AI PRO 9600D GPU Core
Shader units and compute resources
The AMD Radeon AI PRO 9600D 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.
AI PRO 9600D Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon AI PRO 9600D'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 Radeon AI PRO 9600D by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon AI PRO 9600D Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon AI PRO 9600D'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.
Radeon AI PRO 9600D by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the AI PRO 9600D, 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.
AI PRO 9600D Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon AI PRO 9600D 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.
Radeon AI PRO 9600D Ray Tracing & AI
Hardware acceleration features
The AMD Radeon AI PRO 9600D includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the AI PRO 9600D capable of delivering both stunning graphics and smooth frame rates in modern titles.
RDNA 4.0 Architecture & Process
Manufacturing and design details
The AMD Radeon AI PRO 9600D is built on AMD's RDNA 4.0 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 AI PRO 9600D will perform in GPU benchmarks compared to previous generations.
AMD's Radeon AI PRO 9600D Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon AI PRO 9600D 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 Radeon AI PRO 9600D to maintain boost clocks without throttling.
Radeon AI PRO 9600D by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon AI PRO 9600D 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 Radeon AI PRO 9600D. 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.
Radeon AI PRO 9600D Product Information
Release and pricing details
The AMD Radeon AI PRO 9600D 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 Radeon AI PRO 9600D by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon AI PRO 9600D Benchmark Scores
No benchmark data available for this GPU.
About AMD Radeon AI PRO 9600D
AMD Radeon AI PRO 9600D is a workstation-oriented GPU built on the RDNA 4.0 architecture, featuring the Navi 48 chip manufactured on TSMC’s 4 nm process. The card is positioned around the 50th percentile among all GPUs in the database, indicating it sits at the midpoint of overall performance distribution, though its specific benchmark scores are currently unlisted. The following analysis is based strictly on the provided specifications and comparative data.
Benchmark Performance
The FACT PACK provides no benchmark scores, average benchmark scores, or nearest rival comparisons for the AMD Radeon AI PRO 9600D. The `benchmarks` array is empty, the `avgBenchmarkScore` is 0, and the `nearestRivals` list is empty. Consequently, there are no exact percentage deltas, percentile shifts, or rival score comparisons to report. The only performance-related data point is the `percentileVsAllGpus` field, which places this card at the 50th percentile. This means the Radeon AI PRO 9600D is expected to outperform roughly half of all GPUs in the database and underperform relative to the other half, but without concrete scores or rival deltas, any further quantitative interpretation is impossible.
What can be inferred from the raw compute specifications is the card’s theoretical throughput. The FP32 performance is rated at 24.82 TFLOPS, and FP16 performance is identical at 24.82 TFLOPS (1:1 ratio), indicating no half-rate penalty for FP16 workloads. The pixel rate is 193.9 GPixel/s, and the texture rate is 387.8 GTexel/s. These figures suggest a card designed for balanced rasterization and compute tasks rather than extreme throughput at the top end. The absence of benchmark data means that real-world application performance cannot be validated against these theoretical numbers, so the analysis must rely on architectural capabilities rather than measured results.
Given the lack of rival data, no statements about being “30% ahead” or “20% behind” any specific competitor can be made. The 50th percentile ranking is the sole comparative metric available, and it implies a mid-tier standing rather than a flagship or entry-level position. Users should interpret this as a card that offers moderate performance relative to the entire GPU landscape, but precise positioning against named rivals is not possible from the provided information.
Who Should Consider It
Without benchmark scores or resolution-specific testing data, recommendations must be grounded in the memory subsystem and compute capabilities. The card features 32 GB of GDDR6 memory, a 256-bit bus width, and 576.0 GB/s of bandwidth. This configuration is well-suited for workloads that demand large memory pools, such as high-resolution texture sets, complex 3D scenes, or data-intensive compute tasks. For gaming, the 32 GB capacity far exceeds typical requirements, even at 4K resolutions, where 16 GB is often sufficient; this suggests the card is not primarily aimed at gamers but rather at professionals handling massive datasets.
The compute throughput of 24.82 TFLOPS (FP32) and 24.82 TFLOPS (FP16) indicates strong double-duty capability for single-precision and half-precision workloads. This makes the Radeon AI PRO 9600D a candidate for machine learning inference, scientific simulations, or rendering tasks that leverage FP16 acceleration. The 48 ray tracing cores and support for DirectX 12 Ultimate (12_2) mean it can handle ray-traced content, but without benchmark numbers, the playability at specific settings cannot be quantified. The 150 W TDP and single-slot design suggest it is intended for dense workstation environments rather than high-power gaming rigs.
For resolution-specific advice, the 576.0 GB/s bandwidth is moderate by modern standards, which could become a bottleneck at very high resolutions with heavy texture loads, but the 32 GB VRAM mitigates capacity issues. Users working with 8K textures or multi-display setups may find the memory pool advantageous, while those seeking maximum frame rates in competitive games at 1080p or 1440p might find the card overkill in capacity but underprovisioned in raw speed compared to gaming-optimized parts. The lack of benchmark data prevents any definitive statement about settings (e.g., “ultra settings at 1440p” or “high settings at 4K”), so recommendations must remain qualitative: this card is for professionals who need large VRAM and balanced compute, not for gamers chasing specific frame rate targets.
How It Compares
The `nearestRivals` array is empty, meaning there are no named rivals, score deltas, or percentage differences to analyze. The only comparative data point is the 50th percentile ranking, which indicates a median position among all GPUs. Without rival names or scores, no paragraph-by-paragraph comparison can be written. The predecessor is listed as “Radeon Pro Vega,” but no performance figures for that older card are provided, so no generational improvement percentage can be calculated. The successor is null, so no forward-looking comparison exists either.
In the absence of rival data, the analysis must note that this card occupies a middle ground in the GPU hierarchy, but its exact competitive standing against specific models, whether from AMD or NVIDIA, is undocumented in the FACT PACK. The 50th percentile suggests it is neither a dominant performer nor a weak one, but this is a relative measure without absolute context. Any attempt to compare against, for example, a hypothetical rival with a higher score would require numbers that are not present. Therefore, the comparison section is limited to stating the absence of data and the percentile rank as the sole positional indicator.
FAQ
Q: What is the FP32 compute performance of the AMD Radeon AI PRO 9600D?
A: The FP32 performance is rated at 24.82 TFLOPS, and the FP16 performance is also 24.82 TFLOPS (1:1 ratio), meaning both single-precision and half-precision workloads are processed at the same rate.
Q: How much memory does the card have, and what is its bandwidth?
A: The card is equipped with 32 GB of GDDR6 memory on a 256-bit bus, providing a total bandwidth of 576.0 GB/s. The memory clock is 2250 MHz, which translates to 18 Gbps effective.
Q: What is the thermal design power (TDP) and what power supply is recommended?
A: The TDP is 150 W, and the suggested power supply is 450 W. The card requires a single 16-pin power connector.
Q: Does the card support ray tracing?
A: Yes, it includes 48 ray tracing cores and supports DirectX 12 Ultimate (12_2), which encompasses ray tracing features. It also supports Vulkan 1.4 and OpenGL 4.6.
Q: What is the physical size of the card?
A: It is a single-slot card with dimensions of 241 mm (9.5 inches) in length, 111 mm (4.4 inches) in height, and 19 mm (0.7 inches) in width.
Q: What process node is the chip built on?
A: The Navi 48 chip is manufactured on a 4 nm process at TSMC, with 53,900 million transistors on a die size of 357 mm².
Memory Subsystem
The memory subsystem is a defining characteristic of the AMD Radeon AI PRO 9600D. It features 32 GB of GDDR6 memory, which is a substantial capacity for professional workloads. The 256-bit bus width is standard for this class of card, and the memory clock of 2250 MHz (18 Gbps effective) yields a total bandwidth of 576.0 GB/s. This bandwidth is adequate for most tasks, but it is not exceptionally high compared to the fastest consumer or workstation cards that might exceed 1 TB/s, though such figures are not in the FACT PACK for comparison.
For high-resolution work, the 32 GB capacity is the primary advantage. At 4K or 8K resolutions, textures and frame buffers can consume large amounts of VRAM, and 32 GB provides headroom for complex scenes, multi-monitor setups, or large compute datasets that would exceed the 8–16 GB found on many consumer GPUs. The 576.0 GB/s bandwidth, while moderate, is sufficient to feed the 3072 shading units and 192 texture mapping units without obvious starvation, based on the pixel rate of 193.9 GPixel/s and texture rate of 387.8 GTexel/s. However, in scenarios where the memory capacity is fully utilized, such as loading massive texture atlases, the bandwidth could become a limiting factor for real-time frame rates, though no benchmark data exists to confirm this.
The GDDR6 type, as opposed to GDDR6X or HBM, suggests a balance between cost and performance, but since pricing is not discussed, the implication is purely technical. The 32 GB pool is likely intended for AI inference, scientific visualization, or rendering, where capacity trumps raw bandwidth. Users moving from a card with less memory (e.g., a predecessor like Radeon Pro Vega, which is not specified) would see a significant increase in available VRAM, but without numbers on that older card, the magnitude of improvement remains unquantified.
Power and Cooling
The AMD Radeon AI PRO 9600D has a TDP of 150 W, which is modest for a card with 32 GB of memory and 3072 shading units. This low power draw is enabled by the 4 nm process node and the RDNA 4.0 architecture’s efficiency. The suggested power supply is 450 W, which is a conservative recommendation that leaves ample headroom for the rest of a system. The card requires a single 16-pin power connector, which is a modern standard for high-end GPUs, though the 150 W TDP means it will not draw near the connector’s maximum capability.
Cooling is handled by a single-slot design, as indicated by the `slotWidth` field. This is notable because many cards with similar memory capacities and compute capabilities use dual-slot or triple-slot coolers. The single-slot form factor, combined with the 241 mm length, 111 mm height, and 19 mm width, makes it suitable for dense workstation builds where space is constrained, such as multi-GPU servers or small-form-factor chassis. The 150 W TDP is low enough that a single-slot cooler can dissipate heat effectively, assuming adequate airflow, though the FACT PACK does not specify the cooler type (e.g., blower or axial). The 4 nm process contributes to this efficiency, as smaller transistors generally reduce power consumption for a given performance level.
The power connector’s 16-pin configuration is worth noting because it may require an adapter for older power supplies, but the 450 W PSU recommendation ensures compatibility with most modern units. The card’s power draw is not detailed beyond the TDP, so peak transient power spikes are unknown, but the 150 W figure suggests it will not stress a 450 W PSU under typical loads. For users upgrading from older cards, the power requirements are likely lower than many high-end options, but no comparative data is available.
Ray Tracing and Feature Set
The Radeon AI PRO 9600D includes 48 ray tracing cores, which are dedicated hardware units for accelerating ray-traced workloads. The card supports DirectX 12 Ultimate (12_2), which is the API level that includes DirectX Raytracing (DXR), variable rate shading, and mesh shaders. It also supports Vulkan 1.4 and OpenGL 4.6, making it compatible with a wide range of professional and gaming applications. The presence of these APIs means the card can handle modern graphics features, but without benchmark scores, the actual ray tracing performance cannot be quantified.
The FP16 compute rate of 24.82 TFLOPS (1:1) is particularly relevant for ray tracing, as some ray tracing algorithms use half-precision for denoising or shading calculations. The 1:1 ratio indicates that FP16 throughput is not halved compared to FP32, which is advantageous for workloads that mix precision types. The 48 ray tracing cores are a moderate count; higher-end cards might have more, but this is a workstation-oriented part where ray tracing is not the primary focus. The card’s feature set is rounded out by a single DisplayPort 2.1a output, which supports high refresh rates and high resolutions, though the exact capabilities are not detailed.
The API support for DirectX 12 Ultimate ensures compatibility with the latest game engines and professional visualization tools. Vulkan 1.4 offers cross-platform flexibility, and OpenGL 4.6 covers legacy applications. The absence of tensor cores (null in the FACT PACK) means that AI-accelerated features like DLSS (on NVIDIA) are not applicable; instead, any machine learning tasks would rely on the general-purpose shaders and ray tracing cores. The 24.82 TFLOPS FP16 performance could be used for neural network inference, but without dedicated tensor cores, the efficiency may be lower than specialized hardware.
Architecture and Design
The AMD Radeon AI PRO 9600D is built on the RDNA 4.0 architecture, which is a significant iteration of AMD’s graphics core design. The chip, named Navi 48, is manufactured on a 4 nm process at TSMC, a cutting-edge node that allows for high transistor density. The chip contains 53,900 million transistors on a die size of 357 mm², resulting in a transistor density of 151.0 million per square millimeter. This density is indicative of a modern, compact design that balances performance and power efficiency.
The core configuration includes 3072 shading units, 192 texture mapping units (TMUs), and 96 raster output units (ROPs). This configuration yields a pixel rate of 193.9 GPixel/s and a texture rate of 387.8 GTexel/s. The 3072 shading units are organized in a manner typical for RDNA 4.0, with compute units that share resources for ray tracing. The 48 ray tracing cores are integrated into these compute units, providing dedicated hardware for ray intersection and traversal. The card also includes 48 ray tracing cores, but no tensor cores, as noted earlier.
The generation is listed as “Radeon Pro Navi (Navi IV Series),” indicating it is part of the professional Radeon Pro lineup. The predecessor is “Radeon Pro Vega,” which suggests a generational leap from the older Vega architecture to RDNA 4.0, but no performance comparison between the two is provided. The die size of 357 mm² is relatively large for a 150 W card, but the 4 nm process allows for efficient power delivery. The card’s single-slot design and 241 mm length make it a compact option for workstations, and the PCIe 5.0 x16 interface ensures high bandwidth to the host system, which is beneficial for data transfer in compute workloads. The 19 mm width is thinner than many dual-slot cards, reinforcing its suitability for dense configurations.
The NVIDIA Equivalent of Radeon AI PRO 9600D
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