NVIDIA A800 PCIe 40 GB
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA A800 PCIe 40 GB Specifications
A800 PCIe 40 GB GPU Core
Shader units and compute resources
The NVIDIA A800 PCIe 40 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 40 GB Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A800 PCIe 40 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 40 GB by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A800 PCIe 40 GB Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A800 PCIe 40 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 40 GB by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A800 PCIe 40 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 40 GB Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A800 PCIe 40 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 40 GB Ray Tracing & AI
Hardware acceleration features
The NVIDIA A800 PCIe 40 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 40 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 40 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 40 GB will perform in GPU benchmarks compared to previous generations.
NVIDIA's A800 PCIe 40 GB Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A800 PCIe 40 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 40 GB to maintain boost clocks without throttling.
A800 PCIe 40 GB by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A800 PCIe 40 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 40 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 40 GB Product Information
Release and pricing details
The NVIDIA A800 PCIe 40 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 40 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 40 GB Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA A800 PCIe 40 GB
Benchmark Performance
The NVIDIA A800 PCIe 40 GB is a compute-oriented card with a raw FP32 throughput of 19.49 TFLOPS, placing it at the 50th percentile among all GPUs in the database. This score reflects a balanced position in the middle of the pack, not a top-tier performer for gaming or general consumer workloads, but a serious instrument for parallel compute. The card's FP16 performance is dramatically higher at 77.97 TFLOPS (4:1 ratio), indicating that its design philosophy prioritizes mixed-precision and AI workloads where tensor operations dominate. The 4:1 ratio between FP16 and FP32 means that for every floating-point operation at single precision, the card can execute four at half precision, which is a hallmark of accelerator-focused silicon.
Benchmark results indicate that the A800's pixel rate of 225.6 GPixel/s and texture rate of 609.1 GTexel/s are consistent with its 6912 shading units and 432 texture mapping units. These figures are not record-breaking for rasterization-heavy tasks, but they are respectable for a card that draws 250 W. The 160 ROPs provide adequate fill-rate capacity for high-resolution output, though the card's primary mission is not frame generation. The absence of any benchmark scores in the database (avgBenchmarkScore = 0) means the percentile ranking is derived from architectural characteristics rather than direct testing; the 50th percentile is a midpoint, suggesting the A800 sits exactly between the slowest and fastest accelerators ever catalogued.
How It Compares
The nearestRivals list is empty for this entry, which means the database currently has no directly comparable products with recorded scores and deltaPct values. This is not unusual for server-grade accelerators that are sold in low volumes and targeted at niche data-center deployments. Without rival data, the A800's performance must be interpreted in absolute terms: its FP32 output of 19.49 TFLOPS is roughly a third of what a flagship consumer GPU from the same era would deliver in rasterization, but its FP16 throughput of 77.97 TFLOPS is competitive with dedicated AI accelerators. The lack of rivals also indicates that the A800 occupies a specific niche—one where direct competition is either absent or not yet catalogued in this benchmark database. Buyers should treat the 50th percentile as a warning that this is not a category-leading card; it is a workhorse with a clear specialization.
Ray Tracing and Feature Set
The A800 has no dedicated ray tracing cores listed in the fact pack, which is a significant omission for anyone expecting real-time ray traced workloads. The architecture is Ampere, the same generation that introduced second-generation RT cores in consumer GeForce products, but the GA100 chip used here is stripped of those units. Instead, the card relies on 432 tensor cores, which are the key to its machine learning capabilities. These tensor cores accelerate matrix math for training and inference, and the 77.97 TFLOPS FP16 figure is indicative of their peak throughput when operating in tensor mode. API support is absent from the fact pack—no DirectX, OpenGL, or Vulkan versions are provided—which further confirms that this is not a graphics-first product. The card has no display outputs, so it cannot drive a monitor directly; it is meant to be installed in a server and accessed remotely. For ray tracing specifically, the data shows no hardware acceleration, meaning any ray tracing would have to be performed on the shader cores, which is inefficient and not recommended for production use.
Who Should Consider It
The A800 PCIe 40 GB is not for gamers or workstation users who need a display. With no outputs and no ray tracing cores, it is squarely aimed at compute environments. The 19.49 TFLOPS FP32 and 77.97 TFLOPS FP16 performance make it suitable for scientific simulation, deep learning training, and inference tasks where the 40 GB memory capacity is essential. The 50th percentile ranking suggests it is a mid-tier option among all accelerators, so high-end AI research labs with massive budgets may find it underpowered compared to newer server GPUs, but smaller teams or edge deployments could find it adequate. The card's 250 W TDP and dual-slot design mean it can fit into most server chassis without special cooling, and the 600 W suggested PSU requirement is modest for a data-center component. If your workload is FP16-heavy, the 4:1 ratio is a huge advantage; if you need FP32 for legacy code, the 19.49 TFLOPS is still a solid number, though not class-leading. The 1.56 TB/s memory bandwidth is the real differentiator—it ensures that large datasets can be fed to the compute units without stalling, which is critical for training large models or processing high-resolution volumetric data. For anyone running CUDA-based workloads at 1080p, 1440p, or 4K resolutions, the A800 will handle them, but resolution is irrelevant here since there is no display output; the card operates on data, not pixels.
Power and Cooling
The A800 has a TDP of 250 W, which is moderate for an accelerator with this much memory and compute density. The suggested power supply is 600 W, which is a reasonable headroom for a system with a single card and a standard server CPU. Power is delivered via an 8-pin EPS connector, which is typical for server components but different from the 8-pin PCIe power connectors found on consumer cards; ensure your power supply has the correct EPS cable, as adapters may not be readily available. The card is dual-slot, so it occupies two expansion slots, and its physical dimensions are 267 mm in length and 111 mm in height, making it shorter than many flagship gaming GPUs but still requiring a full-size chassis. The 7 nm process node from TSMC, with 54,200 million transistors on an 826 mm² die, contributes to the 250 W power draw being manageable—the transistor density of 65.6M per mm² is high, but the clock speeds are conservative at 765 MHz base and 1410 MHz boost, which keeps thermals in check. The 8-pin EPS connector is rated for higher current delivery than PCIe connectors, so there is no concern about power draw spikes. In a dual-slot air-cooled configuration, the A800 should operate within safe temperatures in a standard server airflow path, though the fact pack does not specify a heatsink design. The end-of-life production status means that replacement units may be hard to source, so factor that into long-term reliability planning.
Memory Subsystem
The A800 is equipped with 40 GB of HBM2e memory, which is a substantial capacity that exceeds most consumer GPUs by a wide margin. The memory bus is 5120 bits wide, which is five times wider than a typical 1024-bit bus on high-end consumer cards, and this is what enables the 1.56 TB/s bandwidth. To put that in perspective, the bandwidth alone is sufficient to transfer over one and a half terabytes of data per second, which is critical for feeding the 6912 shading units and 432 tensor cores without bottlenecks. The memory clock is 1215 MHz, with an effective data rate of 2.4 Gbps per pin, but the sheer width of the bus is what delivers the massive aggregate bandwidth. For high-resolution workloads, this memory subsystem is overkill in the best way—it can handle 4K and 8K textures, large simulation grids, and massive neural network weight matrices without paging to system memory. The 40 GB capacity is particularly valuable for large language models or scientific datasets that exceed the 24 GB typically found on consumer cards. However, the HBM2e type means that the memory is soldered to the interposer and cannot be upgraded, so the 40 GB is a fixed ceiling. The bandwidth of 1.56 TB/s is more than sufficient for the FP32 throughput of 19.49 TFLOPS; in fact, the arithmetic intensity is low enough that the GPU is likely memory-bound in many workloads, meaning the bandwidth is the limiting factor rather than compute. This is a deliberate design choice for data-center workloads where memory capacity and bandwidth are prized over raw FLOPS. The 5120-bit bus width is also why the card has no display outputs—the memory is optimized for data movement, not frame buffer scanning.
The AMD Equivalent of A800 PCIe 40 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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