NVIDIA A100X
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA A100X Specifications
GPU Core
Shader units and compute resources
The NVIDIA A100X 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.
A100X Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A100X'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 A100X by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A100X Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A100X'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.
A100X by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A100X, 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.
A100X Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A100X 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.
A100X Ray Tracing & AI
Hardware acceleration features
The NVIDIA A100X 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 A100X capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A100X is built on NVIDIA's Ampere 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 A100X will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A100X 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 A100X to maintain boost clocks without throttling.
A100X by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A100X 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.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA A100X. 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.
A100X Product Information
Release and pricing details
The NVIDIA A100X is manufactured by NVIDIA 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 A100X by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA A100X
The NVIDIA A100X is a server-grade accelerator built on the 7 nm Ampere architecture, featuring the GA100 chip with 54,200 million transistors on an 826 mm² die. It is positioned for compute-heavy workloads, offering 19.91 TFLOPS of FP32 performance and 79.63 TFLOPS of FP16 performance (4:1 ratio), alongside 80 GB of HBM2e memory on a 5120-bit bus.
Benchmark Performance
The benchmark data for the NVIDIA A100X shows a percentile rank of 50 among all GPUs, with an average benchmark score of 0. This indicates that the card sits at the median of the database’s tested hardware, but the lack of specific scores in the data set means direct numerical comparisons are limited. The FP32 throughput of 19.91 TFLOPS reflects a compute-oriented design rather than a gaming focus, as the shading units (6912) and texture units (432) are configured for parallel processing tasks. The FP16 performance of 79.63 TFLOPS is exactly four times the FP32 figure, confirming the 4:1 ratio typical of Ampere architecture accelerators, which is critical for AI training and inference workloads.
The memory subsystem delivers 2.04 TB/s of bandwidth through HBM2e, which is a substantial figure for data-intensive applications. The pixel rate of 230.4 GPixel/s and texture rate of 622.1 GTexel/s further illustrate the card’s capacity for high-throughput rendering tasks, though the absence of display outputs suggests this is not intended for direct visual output. Because the nearestRivals array is empty, the percentile ranking of 50 serves as the primary positional reference, placing the A100X exactly in the middle of the database’s GPU population — an unusual spot for a server part, which typically skews toward the top percentiles in compute benchmarks. The benchmark results indicate that while the raw compute capabilities are strong, the lack of a measurable average score suggests either limited testing coverage or a focus on specialized workloads that do not translate to standard gaming or consumer benchmarks.
How It Compares
Without nearest rivals listed in the data, the comparison must rely on the broader context of the GPU’s generation and architecture. The A100X falls under the "Server Ampere (Axx)" generation, following the "Tesla Turing" predecessor and preceding the "Server Ada" successor. This timeline places it between two distinct architecture families: the older Turing-based server parts and the newer Ada-based ones. The performance per transistor is 65.6M transistors per mm², a density figure that reflects the 7 nm TSMC process node, which is shared with other Ampere products but not directly comparable to rival figures in this data set.
The production status is marked as End-of-life, which affects its availability but not its theoretical capabilities. The card’s 50th percentile rank suggests that in the database’s aggregate scoring, it is neither a standout performer nor a laggard, but this is ambiguous without rival scores. The FP32 and FP16 numbers, however, position it as a compute-first device: 19.91 TFLOPS in FP32 is high for a dual-slot card, and 79.63 TFLOPS in FP16 is competitive for AI accelerators of its generation. The absence of a launch MSRP and the lack of rival data means price-based positioning is impossible, but the architectural lineage from Turing to Ada suggests a generational leap in efficiency and throughput, which is consistent with the observed clock speeds of 795 MHz base and 1440 MHz boost.
Ray Tracing and Feature Set
The NVIDIA A100X does not list dedicated ray tracing cores in its specifications, and the API support fields for DirectX, OpenGL, and Vulkan are all null. This indicates that the card is not designed for real-time ray tracing in consumer or workstation graphics applications, which aligns with its server-oriented positioning. Instead, the compute feature set is anchored by 432 tensor cores, which are essential for matrix operations used in deep learning and scientific computing. The tensor cores operate in conjunction with the FP16 4:1 performance mode, enabling accelerated mixed-precision workloads.
The memory configuration of 80 GB HBM2e on a 5120-bit bus provides 2.04 TB/s of bandwidth, which is a critical feature for large model training and inference tasks that require rapid data movement. The card has no display outputs, reinforcing that its feature set is entirely compute-focused, with no video encoding or decoding capabilities mentioned in the data. The PCIe 4.0 x8 interface provides a moderate host connection, which is sufficient for many server workloads but may bottleneck data transfer in scenarios requiring high host-to-device communication. The absence of ray tracing cores and API support means that any ray tracing performance claims would be speculative; the data clearly shows that this is a compute accelerator, not a graphics card.
FAQ
Q: What is the memory configuration of the NVIDIA A100X?
A: The card features 80 GB of HBM2e memory on a 5120-bit bus, delivering 2.04 TB/s of memory bandwidth.
Q: Does the A100X support ray tracing?
A: No, the specifications list no ray tracing cores, and the API fields for DirectX, OpenGL, and Vulkan are null, indicating no support for real-time ray tracing.
Q: What is the FP16 performance of the A100X?
A: The FP16 performance is 79.63 TFLOPS, which is exactly four times the FP32 performance of 19.91 TFLOPS, confirming a 4:1 ratio.
Q: What is the production status of the A100X?
A: The production status is listed as End-of-life, meaning it is no longer actively manufactured.
Q: How many tensor cores does the A100X have?
A: The card includes 432 tensor cores, which are used for accelerated matrix operations in AI and scientific workloads.
Q: What is the bus interface of the A100X?
A: The card uses a PCIe 4.0 x8 interface, which is a moderate bandwidth connection for server integration.
Power and Cooling
The NVIDIA A100X has a TDP of 300 W, which is a modest figure for a compute accelerator of its capabilities. The suggested PSU is 700 W, providing ample headroom for the card’s power draw along with other system components. Power is delivered via a single 16-pin connector, which is a modern standard for high-power GPUs. The card is dual-slot in width, with physical dimensions of 267 mm in length (10.5 inches) and 112 mm in height (4.4 inches), making it compatible with standard server chassis that accommodate dual-slot cards.
The cooling solution is not specified in the data, but the 300 W TDP suggests that a capable air cooler or server-style passive cooling with adequate airflow would be required. The absence of display outputs simplifies the thermal design, as no video output circuitry is present. The 700 W PSU recommendation is notably higher than the TDP alone would suggest, likely accounting for transient power spikes and the needs of surrounding server hardware. The 16-pin connector requirement means that older power supplies without this connector will need an adapter, which is a practical consideration for system integrators. The dual-slot design and 267 mm length are standard for server accelerators, ensuring broad compatibility with rack-mounted systems.
Detailed benchmark scores and charts for the NVIDIA A100X are below.
Benchmark Scores
No benchmark data available for this GPU.
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