NVIDIA A800 PCIe 80 GB
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA A800 PCIe 80 GB Specifications
A800 PCIe 80 GB GPU Core
Shader units and compute resources
The NVIDIA A800 PCIe 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 PCIe 80 GB Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A800 PCIe 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 PCIe 80 GB by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A800 PCIe 80 GB Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A800 PCIe 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 PCIe 80 GB by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A800 PCIe 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 PCIe 80 GB Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A800 PCIe 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 PCIe 80 GB Ray Tracing & AI
Hardware acceleration features
The NVIDIA A800 PCIe 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 PCIe 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 PCIe 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 PCIe 80 GB will perform in GPU benchmarks compared to previous generations.
NVIDIA's A800 PCIe 80 GB Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A800 PCIe 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 PCIe 80 GB to maintain boost clocks without throttling.
A800 PCIe 80 GB by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A800 PCIe 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 PCIe 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 PCIe 80 GB Product Information
Release and pricing details
The NVIDIA A800 PCIe 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 PCIe 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 PCIe 80 GB Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA A800 PCIe 80 GB
The NVIDIA A800 PCIe 80 GB is a server-class Ampere accelerator from the Server Ampere (Axx) generation, built on the GA100 chip at TSMC's 7 nm process. It packs 54,200 million transistors into an 826 mm² die, with a density of 65.6 million per square millimeter. The dual-slot card is 267 mm (10.5 inches) long and 111 mm (4.4 inches) tall, draws 250 W through a single 8-pin EPS connector, and lists a 600 W suggested PSU. Released on 2022-11-07, it is now end-of-life and sits at the 50th percentile of all GPUs in the database. Its defining feature is the memory subsystem: 80 GB of HBM2e on a 5120-bit bus delivering 1.94 TB/s. With no display outputs and no graphics API support listed, this is a pure compute accelerator for memory-capacity-bound workloads.
Benchmark Performance
The database records no individual benchmark scores for this card — the benchmark array is empty and the average score is 0. The aggregate percentile versus all GPUs is 50, placing it at the median of the database. No nearest rivals are listed, so there are no direct percentage deltas to report; instead, the card's raw throughput figures define its position.
Base clock is 1065 MHz with a 1410 MHz boost. FP32 compute is 19.49 TFLOPS, while FP16 reaches 77.97 TFLOPS at a 4:1 ratio. That ratio is the key: this card is tuned for FP16 work. The FP32 figure is modest for a server accelerator, but the FP16 number is the one that matters for AI training and inference. Pixel throughput is 225.6 GPixel/s and texture throughput is 609.1 GTexel/s, driven by 6912 shading units, 432 TMUs, and 160 ROPs. These figures exist in the specification even though the card has no display outputs — they reflect internal compute pipeline hardware, not graphics workloads.
The 50th percentile placement requires careful reading. With no tested game scores and no rivals, the percentile is a class-level indicator: this card sits in the middle of the database's entire GPU population. For a server accelerator with 80 GB of memory, that median position understates its relevance to memory-bound tasks, where the 1.94 TB/s bandwidth and large capacity dominate.
Ray Tracing and Feature Set
The specification lists no RT core count — the rtCores field is empty. The API table shows no DirectX, OpenGL, or Vulkan support. This is consistent with a compute card that has no display outputs: there is no graphics path to feed, so ray tracing and traditional graphics APIs are not part of the feature set.
What the card does have is 432 tensor cores. These are the engines behind the 77.97 TFLOPS FP16 throughput. The 4:1 FP16-to-FP32 ratio is enabled by these tensor cores, which accelerate matrix operations common in deep learning. The card also includes 6912 shading units, 432 TMUs, and 160 ROPs — present in the specification but, without display outputs or graphics APIs, they contribute to raw compute rather than rendering. The 225.6 GPixel/s pixel rate and 609.1 GTexel/s texture rate are theoretical maxima for the internal rasterization pipeline, not achievable in any user-facing graphics workload.
The absence of RT cores and graphics APIs means the A800 PCIe 80 GB should not be evaluated as a gaming or rendering card. Its feature set is entirely compute-oriented.
Power and Cooling
The card is rated at 250 W TDP, modest for a server accelerator with this memory capacity. Power arrives through a single 8-pin EPS connector. Builders should verify their power supply has an EPS header; the suggested PSU rating is 600 W.
The dual-slot form factor is 267 mm (10.5 inches) long and 111 mm (4.4 inches) tall, with no width specified. These dimensions fit standard server chassis. With no display outputs, the card does not need a rear bracket with display ports; airflow management is entirely through the chassis. The 7 nm TSMC process and 54,200 million transistors in an 826 mm² die contribute to power efficiency — 250 W for 80 GB of HBM2e and 1.94 TB/s of bandwidth is a favorable ratio. The transistor density of 65.6 million per square millimeter reflects a dense, compute-focused layout.
Because the card is end-of-life, builders should weigh cooling and power requirements against the card's remaining useful life in a server.
Who Should Consider It
This card has no display outputs, so it cannot drive a monitor at any resolution. The recommendation is therefore about workload fit, not resolution or graphics settings.
The 80 GB memory capacity and 1.94 TB/s bandwidth suit datasets that exceed the memory of smaller accelerators. The 77.97 TFLOPS FP16 throughput is the relevant metric for mixed-precision training and inference. The 4:1 FP16-to-FP32 ratio means workloads that can use FP16 will see four times the throughput of FP32-only code.
The 50th percentile placement suggests a mid-pack position overall, but that percentile is not weighted for memory capacity. For memory-bound compute, the A800 PCIe 80 GB is in a different class than cards with smaller memory pools. Given its end-of-life status and the Server Ada successor, this card is best considered for specific deployments where the 80 GB footprint is the deciding factor — large model inference, scientific simulation with massive in-memory datasets, or similar. It is not a card for FP32-heavy general-purpose computing, as the 19.49 TFLOPS FP32 figure is comparatively modest.
Memory Subsystem
The memory subsystem defines this card. It uses 80 GB of HBM2e across a 5120-bit bus, yielding 1.94 TB/s of bandwidth. The memory clock is 1512 MHz, listed as 3 Gbps effective.
The 5120-bit bus is exceptionally wide. This width is what allows 1.94 TB/s without extreme clock speeds. For high-resolution or large-batch workloads, memory bandwidth and capacity are often the bottleneck. The 1.94 TB/s figure means the card can feed its compute units without stalling. The 80 GB capacity means large models or datasets can reside entirely in video memory, avoiding PCIe transfers over the PCIe 4.0 x16 interface.
The 1512 MHz memory clock is modest, but the 5120-bit bus compensates. The effective 3 Gbps data rate per pin, multiplied across the bus, produces the 1.94 TB/s aggregate. This is the number that matters for memory-bound kernels.
FAQ
Q: What memory configuration does the A800 PCIe 80 GB use?
A: It uses 80 GB of HBM2e on a 5120-bit bus, with 1.94 TB/s of bandwidth and a 1512 MHz (3 Gbps effective) memory clock.
Q: Does this card support ray tracing?
A: The specification lists no RT core count and no DirectX, OpenGL, or Vulkan support, so ray tracing is not part of the documented feature set.
Q: What power supply is recommended?
A: The suggested PSU rating is 600 W, with a 250 W TDP card that uses a single 8-pin EPS connector.
Q: Can this card be used for gaming?
A: No — it has no display outputs and no graphics API support listed, so it cannot drive a monitor.
Q: How many tensor cores does it have?
A: It has 432 tensor cores, which enable the 77.97 TFLOPS FP16 throughput (at a 4:1 ratio to FP32).
Q: What is the production status?
A: The card is end-of-life, was released on 2022-11-07, succeeded the Tesla Turing generation, and has Server Ada as its successor.
The AMD Equivalent of A800 PCIe 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.
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