NVIDIA A800 SXM4 80 GB
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA A800 SXM4 80 GB Specifications
A800 SXM4 80 GB GPU Core
Shader units and compute resources
The NVIDIA A800 SXM4 80 GB 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.
A800 SXM4 80 GB Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A800 SXM4 80 GB'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 A800 SXM4 80 GB by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A800 SXM4 80 GB Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A800 SXM4 80 GB'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.
A800 SXM4 80 GB by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A800 SXM4 80 GB, 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.
A800 SXM4 80 GB Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A800 SXM4 80 GB 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.
A800 SXM4 80 GB Ray Tracing & AI
Hardware acceleration features
The NVIDIA A800 SXM4 80 GB 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 A800 SXM4 80 GB capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A800 SXM4 80 GB 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 A800 SXM4 80 GB will perform in GPU benchmarks compared to previous generations.
NVIDIA's A800 SXM4 80 GB Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A800 SXM4 80 GB 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 A800 SXM4 80 GB to maintain boost clocks without throttling.
A800 SXM4 80 GB by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A800 SXM4 80 GB 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 A800 SXM4 80 GB. 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.
A800 SXM4 80 GB Product Information
Release and pricing details
The NVIDIA A800 SXM4 80 GB 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 A800 SXM4 80 GB by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
A800 SXM4 80 GB Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA A800 SXM4 80 GB
The NVIDIA A800 SXM4 80 GB is a server-oriented accelerator built on the Ampere architecture, featuring the GA100 chip produced on a 7 nm process at TSMC. With a transistor count of 54,200 million on an 826 mm² die, it delivers a transistor density of 65.6M per mm². The card is positioned at the 50th percentile among all GPUs in the database, indicating a mid-pack standing in overall benchmark distribution, though its specialized compute profile makes direct consumer comparisons less straightforward.
How It Compares
The FACT PACK provides no nearest rival entries, benchmark scores, or percentile deltas for the A800 SXM4 80 GB. Consequently, direct numerical comparisons against other specific accelerators are not available from the data. What can be stated is that the card's percentile rank of 50 places it exactly at the median of the database's GPU population, meaning half of all listed graphics cards score higher and half score lower. This is a neutral positioning, reflecting that the A800 is neither a top-tier outlier nor a low-end performer within the aggregate dataset. Without rival names or deltaPct values, the analysis must rely on its intrinsic specifications rather than head-to-head metrics.
The absence of rival data also means no statements can be made about the A800 being ahead or behind any named competitor. The only comparative anchor is the percentile field, which situates it in the middle of the distribution. For a server-grade compute card, this percentile likely reflects its narrow focus on specific workloads rather than general-purpose gaming or rendering tasks, but the data does not permit further interpretation. The card's predecessor is listed as Tesla Turing and its successor as Server Ada, indicating a generational lineage within NVIDIA's data center lineup, but no performance deltas between these generations are provided.
Ray Tracing and Feature Set
The A800 SXM4 80 GB does not include dedicated ray tracing cores, as the rtCores field is null. This absence is consistent with its server-oriented design, where real-time ray tracing for consumer graphics is not a priority. Instead, the card is equipped with 432 tensor cores, which are specialized for matrix operations and deep learning workloads. These tensor cores support AI inference and training tasks, providing 77.97 TFLOPS of FP16 performance at a 4:1 ratio, which is four times the FP32 throughput of 19.49 TFLOPS. This ratio highlights the card's bias toward mixed-precision compute, common in neural network applications.
The API support fields for DirectX, OpenGL, and Vulkan are all null, meaning the card does not expose standard graphics APIs. This is expected for a compute-focused SXM module that has no display outputs, as listed in the displayOutputs field. The feature set is therefore entirely compute-centric, with no rasterization or ray tracing capabilities exposed to the software stack. The tensor cores are the primary programmable units beyond the 6912 shading units, 432 texture mapping units, and 160 ROPs, which provide a texture rate of 609.1 GTexel/s and a pixel rate of 225.6 GPixel/s. These rates are theoretical maxima and indicate raw throughput for any compute or rendering tasks that do use the shading units, though the card is not marketed for such purposes.
Who Should Consider It
Given the benchmark scores are all zero and no average score exists, the A800 SXM4 80 GB cannot be evaluated on traditional gaming or rendering performance metrics. Instead, its suitability must be inferred from its memory and compute specifications. The card features 80 GB of HBM2e memory with a 5120-bit bus width and 2.04 TB/s of bandwidth, which is exceptionally high. This configuration is tailored for large datasets that exceed the capacity of typical consumer cards, making it suitable for training large language models, scientific simulations, or in-memory databases that require massive VRAM footprints.
For resolution-specific recommendations, the data does not provide any frame rate or workload scores, so no concrete settings can be advised. However, the memory bandwidth of 2.04 TB/s suggests that the card can handle high-resolution textures and large batch sizes without memory bottlenecks, but this is a qualitative inference. The FP32 performance of 19.49 TFLOPS indicates a capability for double-precision-adjacent tasks, though the card's FP16 throughput of 77.97 TFLOPS is four times higher, implying that mixed-precision workloads will see substantial acceleration. Users with AI training or inference needs that fit within the 80 GB frame buffer are the primary audience, as the card's design offers no display outputs and is meant for server racks rather than desktop use.
Power and Cooling
The A800 SXM4 80 GB has a thermal design power (TDP) of 400 W, which is a fixed power envelope for the SXM module form factor. The card's slot width is listed as "SXM Module," which is not a standard PCIe slot width but rather a proprietary mounting for server chassis. It requires no power connectors, as power is delivered through the SXM socket itself, and the suggested PSU is 800 W, which accounts for the rest of the system's components rather than the card alone. This PSU recommendation is a minimum for a single-card configuration, and the card's power delivery is managed by the host server's power subsystem.
Cooling is not specified in terms of cooler size or type, but the SXM form factor typically relies on server chassis airflow or liquid cooling solutions, though no specific cooler details are in the data. The 400 W TDP is a fixed thermal load that the server must dissipate, and the absence of power connectors simplifies cabling but requires a compatible SXM motherboard. The card's production status is end-of-life, meaning it is no longer actively manufactured, which may affect availability but does not change its power characteristics. For multi-card configurations, the 800 W PSU suggestion would need to be scaled accordingly, but the data only provides this single figure.
FAQ
Q: What is the memory capacity and type of the NVIDIA A800 SXM4 80 GB?
A: The card features 80 GB of HBM2e memory with a 5120-bit bus width and a bandwidth of 2.04 TB/s.
Q: Does the A800 support ray tracing?
A: No, the rtCores field is null, indicating no dedicated ray tracing cores are present.
Q: What is the FP16 performance relative to FP32?
A: The FP16 performance is 77.97 TFLOPS at a 4:1 ratio, which is exactly four times the FP32 throughput of 19.49 TFLOPS.
Q: What is the required power supply for a system with this card?
A: The suggested PSU is 800 W, and the card itself has a TDP of 400 W with no power connectors, as it draws power from the SXM socket.
Q: What is the production status of the A800?
A: The production status is listed as end-of-life, with a release date of 2022-08-10.
Q: Are there any display outputs on this card?
A: No, the displayOutputs field is "No outputs," and the API support for DirectX, OpenGL, and Vulkan is null, confirming it is a compute-only accelerator.
Memory Subsystem
The memory subsystem of the A800 SXM4 80 GB is its most distinctive feature. It comprises 80 GB of HBM2e memory, which is a high-bandwidth memory type typically used in data center accelerators. The bus width is 5120 bits, which is significantly wider than typical consumer GPUs, and this width, combined with a memory clock of 1593 MHz (3.2 Gbps effective), yields a total bandwidth of 2.04 TB/s. This bandwidth is a theoretical peak and is critical for feeding the 6912 shading units and 432 tensor cores with data. For high-resolution workloads or large model training, this bandwidth allows the card to process vast amounts of data without stalling on memory access.
The 80 GB capacity is four times larger than many consumer cards, enabling the loading of entire datasets or models into VRAM, which reduces the need for constant data transfers over the PCIe 4.0 x16 bus interface. The memory type HBM2e is known for its energy efficiency and compact footprint, which is why it is used in the SXM module form factor. The combination of 80 GB capacity and 2.04 TB/s bandwidth means that memory-intensive tasks such as sparse matrix operations or high-resolution 3D rendering (if used for compute) would not be constrained by memory size or speed. However, since no benchmark scores are provided, the practical impact of this memory subsystem cannot be quantified in performance terms; it remains a specification-level analysis. The card's pixel rate of 225.6 GPixel/s and texture rate of 609.1 GTexel/s are also tied to the memory bandwidth, as these rates depend on the ability to read and write data quickly, but again, no real-world tests are available to validate these theoretical figures.
The AMD Equivalent of A800 SXM4 80 GB
Looking for a similar graphics card from AMD? The AMD Radeon RX 7900 XTX offers comparable performance and features in the AMD lineup.
Popular NVIDIA A800 SXM4 80 GB Comparisons
See how the A800 SXM4 80 GB stacks up against similar graphics cards from the same generation and competing brands.
Compare A800 SXM4 80 GB with Other GPUs
Select another GPU to compare specifications and benchmarks side-by-side.
Browse GPUs