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NVIDIA A800 PCIe 80 GB

NVIDIA graphics card specifications and benchmark scores

80 GB
VRAM
1410
MHz Boost
250W
TDP
5120
Bus Width
🤖Tensor Cores

NVIDIA A800 PCIe 80 GB Specifications

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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.

Shading Units
6,912
Shaders
6,912
TMUs
432
ROPs
160
SM Count
108
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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.

Base Clock
1065 MHz
Base Clock
1,065 MHz
Boost Clock
1410 MHz
Boost Clock
1,410 MHz
Memory Clock
1512 MHz 3 Gbps effective
GDDR GDDR 6X 6X

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.

Memory Size
80 GB
VRAM
81,920 MB
Memory Type
HBM2e
VRAM Type
HBM2e
Memory Bus
5120 bit
Bus Width
5120-bit
Bandwidth
1.94 TB/s
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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.

L1 Cache
192 KB (per SM)
L2 Cache
80 MB
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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.

FP32 (Float)
19.49 TFLOPS
FP64 (Double)
9.746 TFLOPS (1:2)
FP16 (Half)
77.97 TFLOPS (4:1)
Pixel Rate
225.6 GPixel/s
Texture Rate
609.1 GTexel/s

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.

Tensor Cores
432
BF16
311.84 TFLOPS (16:1)
TF32
155.92 TFLOPs (8:1)
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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.

Architecture
Ampere
GPU Name
GA100
Process Node
7 nm
Foundry
TSMC
Transistors
54,200 million
Die Size
826 mm²
Density
65.6M / mm²
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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.

TDP
250 W
TDP
250W
Power Connectors
8-pin EPS
Suggested PSU
600 W
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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.

Slot Width
Dual-slot
Length
267 mm 10.5 inches
Height
111 mm 4.4 inches
Bus Interface
PCIe 4.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
🎮

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.

OpenCL
3.0
CUDA
8.0
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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.

Manufacturer
NVIDIA
Release Date
Nov 2022
Production
End-of-life
Predecessor
Tesla Turing
Successor
Server Ada

A800 PCIe 80 GB Benchmark Scores

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No benchmark data available for this GPU.

About NVIDIA A800 PCIe 80 GB

When evaluating the NVIDIA A800 PCIe 80 GB from a pure cost perspective, its value is defined by its specialized role in large-scale enterprise and research computing. This isn't a consumer gaming card; its 80 GB of HBM2e memory commands a premium price justified by its ability to process massive datasets that would overwhelm other GPUs. The total cost of ownership must factor in its 250W TDP and the requisite high-wattage, multi-GPU server infrastructure needed to support it. For organizations training frontier AI models or performing complex simulations, the per-GPU cost is often secondary to the capability of avoiding costly data partitioning or communication bottlenecks. The NVIDIA A800 PCIe 80 GB delivers this by placing an exceptional amount of fast memory directly on a single board. This makes its substantial upfront investment a calculated operational necessity rather than an optional luxury, targeting a very specific high-stakes workload.

Identifying direct competitive alternatives to the NVIDIA A800 PCIe 80 GB is challenging due to its unique market positioning and compliance-driven design. The closest architectural comparison would be NVIDIA's own A100, though the A800's modified interconnect speeds create a distinct performance profile for export-controlled markets. In the broader data center landscape, alternatives would include purchasing multiple lower-memory GPUs or considering other accelerators like AMD's MI250X, which also offers high memory capacity. However, the software ecosystem and CUDA dependency for many HPC and AI workloads often solidify NVIDIA's dominance. The decision ultimately hinges on whether an application is memory-bound or compute-bound; for the former, the 80 GB frame buffer is a decisive advantage. This positions the NVIDIA A800 PCIe 80 GB as a pragmatic solution for entities requiring Ampere architecture performance within specific regulatory frameworks.

Future-proofing an infrastructure investment with this GPU centers on its massive memory headroom, which is increasingly critical as AI model sizes grow exponentially. The 80 GB capacity ensures relevance for several generations of model development, protecting against near-term obsolescence. Its PCIe 4.0 interface, while not the latest, provides sufficient bandwidth for many deployment scenarios, though it is the memory, not the host interface, that will be the primary limiter. Adopting the NVIDIA A800 PCIe 80 GB signals a commitment to tackling problems that are scaling faster than hardware improvements, making it a strategic asset. Organizations must weigh this against the eventual arrival of next-generation architectures with even greater memory efficiency. Nonetheless, for memory-saturated workloads, this card provides a substantial runway, delaying the need for a costly architectural refresh for several years.

Build recommendations for the NVIDIA A800 PCIe 80 GB are exclusively for high-end servers and compute clusters, not traditional desktop workstations. A compatible system requires a server-grade motherboard with robust PCIe slot spacing and power delivery, paired with a CPU offering sufficient PCIe lanes to avoid bottlenecking multiple cards. Power supplies must be redundantly configured to handle the sustained 250W draw per GPU, with premium cooling being non-negotiable for maintaining boost clocks. The software environment should be a certified enterprise Linux distribution with the appropriate NVIDIA datacenter drivers and stack. Deploying the NVIDIA A800 PCIe 80 GB effectively means building around it as the central compute element, with all other components selected to sustain its peak memory bandwidth and thermal output. This results in a highly specialized machine where every component choice is dictated by the demands of this flagship accelerator.

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.

AMD Radeon RX 7900 XTX

AMD • 24 GB VRAM

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