NVIDIA A100 PCIe 80 GB

The NVIDIA A100 PCIe 80 GB is a server-grade accelerator built on the Ampere architecture, utilizing the GA100 chip fabricated on a 7 nm process at TSMC. It holds a 50th percentile position among all GPUs in the database, with an average benchmark score of zero, indicating that its performance is measured through specialized compute workloads rather than traditional gaming benchmarks.

Benchmark Performance

The A100 PCIe 80 GB does not have standard benchmark scores listed in the database, making direct numeric comparisons against rivals impossible through the provided data. Its performance profile is defined entirely by its raw compute specifications: 19.49 TFLOPS of FP32 throughput, 77.97 TFLOPS of FP16 performance (at a 4:1 ratio), and 432 tensor cores dedicated to AI and matrix operations. These figures place it firmly in the datacenter compute tier, where raw floating-point throughput and tensor core capability matter more than rasterization or ray tracing performance.

The 50th percentile ranking suggests that while the A100 is not the absolute fastest accelerator in the database, it sits squarely in the middle of all GPUs tracked, which includes consumer gaming cards. This is notable because the A100 has no display outputs and is not designed for graphical workloads; its compute-focused architecture means that its FP32 and FP16 numbers are achieved without the overhead of graphics pipelines. The 19.49 TFLOPS FP32 figure is substantial, but the real differentiator is the 77.97 TFLOPS FP16 throughput, which is exactly four times the FP32 rate, a ratio that indicates heavy optimization for mixed-precision AI training and inference workloads.

The texture rate of 609.1 GTexel/s and pixel rate of 225.6 GPixel/s are secondary metrics for a compute card, but they still show a highly capable memory pipeline. Benchmark results, where they exist for comparable server accelerators, would show the A100 trading blows with other Ampere and Hopper parts, but without specific rival scores, the analysis must rely on the architectural strengths visible in the transistor count of 54,200 million and die size of 826 mm². These physical characteristics are among the largest in the industry, enabling the 6912 shading units and 432 tensor cores to operate at base clock of 1065 MHz and boost clock of 1410 MHz.

Who Should Consider It

Given the absence of game clocks or DirectX, OpenGL, and Vulkan API support, the A100 PCIe 80 GB is unequivocally not for gaming or real-time graphics rendering. The data indicates a compute-first design with no display outputs, so any user expecting frame rates or resolution scaling will be disappointed. Instead, this accelerator targets workloads where FP16 throughput and tensor core operations dominate, such as large language model training, scientific simulations, and high-performance computing clusters.

For deep learning practitioners working with massive datasets, the 77.97 TFLOPS FP16 performance is the key specification. This throughput, combined with 432 tensor cores, makes the A100 suitable for training models that require mixed-precision arithmetic, where the 4:1 FP16 to FP32 ratio allows for significant speedups over traditional FP32 compute. The 19.49 TFLOPS FP32 rate also handles traditional HPC workloads that cannot use reduced precision, making the card a dual-purpose solution for organizations running both AI and classical simulation codes.

Resolution and settings recommendations do not apply here, as the card has no video outputs and no graphics API support. Instead, the relevant "resolution" is memory capacity and bandwidth, where the 80 GB HBM2e frame buffer shines. Users with models that exceed 40 GB of VRAM will find the A100 necessary, while those with smaller models might consider lower-capacity accelerators. The end-of-life production status suggests that this is a mature product, still relevant for deployment but no longer the newest option in NVIDIA's server lineup, with its successor belonging to the Server Ada generation.

Memory Subsystem

The memory subsystem is a defining feature of the A100 PCIe 80 GB. It packs 80 GB of HBM2e memory across a 5120-bit bus, delivering a bandwidth of 1.94 TB/s. This is an enormous amount of memory bandwidth, crucial for feeding the 6912 shading units and 432 tensor cores without starvation. The 5120-bit bus width is among the widest ever produced, allowing the HBM2e stacks to operate at an effective 3 Gbps per pin, resulting in the 1.94 TB/s aggregate bandwidth.

For high-resolution compute workloads, the 80 GB capacity is the primary differentiator. Many AI models, particularly in natural language processing and computer vision, require more than 40 GB of memory for training batches or inference caches. The 80 GB capacity allows the A100 to hold larger models entirely in VRAM, avoiding the performance penalty of swapping data to system memory over the PCIe 4.0 x16 interface. The 1.94 TB/s bandwidth ensures that when data is in VRAM, it can be fed to the compute units at rates that keep the tensor cores saturated.

The effective memory clock of 3 Gbps is modest compared to GDDR6X consumer parts, but the HBM2e architecture compensates with the extreme bus width. The result is that the A100's memory bandwidth is over three times what typical consumer cards achieve, which is essential for the 77.97 TFLOPS FP16 throughput. Without this bandwidth, the tensor cores would stall waiting for data. The pixel rate of 225.6 GPixel/s and texture rate of 609.1 GTexel/s, while not relevant for graphics, indicate that the memory pipeline can also handle traditional compute operations efficiently.

How It Compares

The database lists no nearest rivals for the A100 PCIe 80 GB, so direct percentage comparisons against specific competitor scores cannot be made. The 50th percentile ranking among all GPUs places it in the middle of the performance distribution, but this is skewed by the inclusion of consumer gaming cards that are optimized for entirely different workloads. Within the server accelerator space, the A100's position would be higher, but the lack of rival data prevents a precise percentile calculation.

Without rival names or deltaPct values, the comparison must be qualitative. The A100's 54,200 million transistors and 826 mm² die size are indicative of a flagship-class chip, larger than most consumer GPUs and rivaling other datacenter parts. The 7 nm process node from TSMC is mature, and the 65.6 million transistors per square millimeter density shows efficient packing of the 6912 shading units and 432 tensor cores. The FP32 throughput of 19.49 TFLOPS is competitive with other server accelerators of its generation, while the FP16 figure of 77.97 TFLOPS is a strong selling point for AI workloads.

The predecessor is listed as Tesla Turing, and the successor as Server Ada, which places the A100 in the middle of NVIDIA's server product evolution. The 300 W TDP is modest for the compute performance offered, suggesting that the 7 nm process allows for good power efficiency. The 8-pin EPS power connector is a server-standard interface, and the suggested 700 W PSU provides ample headroom. The dual-slot form factor and 267 mm length are standard for PCIe server cards, allowing for easy integration into existing racks.

Power and Cooling

The A100 PCIe 80 GB has a TDP of 300 W, which is specified as the maximum power draw under sustained compute loads. This is a relatively modest figure for the performance class, especially considering the 54,200 million transistors and the 1.94 TB/s memory bandwidth. The 7 nm manufacturing process contributes to this efficiency, allowing the chip to deliver 19.49 TFLOPS FP32 and 77.97 TFLOPS FP16 without exceeding the 300 W envelope.

The suggested power supply is 700 W, which provides a comfortable margin over the TDP. This recommendation accounts for the rest of the system components, including CPUs, memory, and storage, which will draw additional power. The power connector is a single 8-pin EPS, which is typical for server accelerators and distinct from the 8-pin PCIe connectors found on consumer graphics cards. This connector type is designed for sustained high-current delivery and is compatible with server power supplies that include EPS headers.

Cooling is handled by a dual-slot design, with the card measuring 267 mm in length and 111 mm in height. The dual-slot form factor allows for a substantial heatsink and fan assembly, capable of dissipating the 300 W TDP in a server chassis with adequate airflow. The card has no display outputs, which means all the PCB space is dedicated to the GA100 chip, HBM2e memory stacks, and power delivery circuitry. The end-of-life production status indicates that this cooling solution has been validated across many deployments, and the 300 W TDP is well within the capabilities of standard server cooling infrastructure. For high-density compute clusters, the 300 W TDP per card is manageable, though multiple cards would require careful thermal planning to ensure sustained boost clocks of 1410 MHz are maintained under load.