NVIDIA PG506-207

The NVIDIA PG506-207 is a server accelerator built on the GA100 chip with Ampere architecture, fabricated on TSMC's 7 nm process. It integrates 54,200 million transistors on an 826 mm² die, achieving a transistor density of 65.6 million per square millimeter. This part belongs to the Server Ampere generation, succeeding Tesla Turing and being succeeded by Server Ada. In the benchmark database, it holds a 50th percentile rank against all GPUs, yet it has no recorded benchmark scores and no nearest rival entries, meaning positional analysis must rely on its theoretical specifications and the percentile indicator.

Benchmark Performance

The database lists an average benchmark score of zero for the PG506-207, and its benchmark array is empty. This indicates no standardized performance tests have been submitted for this part. The 50th percentile rank places it exactly at the median of the database's GPU population, suggesting it sits in the middle tier of overall performance. The theoretical compute rates provide a baseline: FP32 throughput is 10.32 TFLOPS, and FP16 throughput is also 10.32 TFLOPS with a 1:1 ratio. This 1:1 ratio is significant because it means the card does not accelerate FP16 workloads beyond its FP32 rate, a notable characteristic of this GA100 configuration. Pixel fill rate is 138.2 GPixel/s, and texture fill rate is 322.6 GTexel/s. The card contains 3584 shading units, 224 texture mapping units, and 96 raster operation units, which are the core graphics pipeline components, but the null API support means they are not exposed to standard graphics APIs. These rates, combined with the 10.32 TFLOPS peak, indicate a compute-oriented design rather than a graphics-first card. Without rival scores, the data cannot show percentage deltas; the only concrete positional fact is the 50th percentile. The absence of benchmark scores also means that real-world performance cannot be verified from this dataset, leaving theoretical rates as the sole performance indicators.

Memory Subsystem

The PG506-207 is equipped with 24 GB of HBM2 memory. The memory bus is 3072 bits wide, and the resulting bandwidth is 933.1 GB/s. The memory clock runs at 1215 MHz, translating to 2.4 Gbps effective. This combination of capacity and bandwidth is substantial for high-resolution or large-dataset compute tasks. For workloads that simulate high-resolution rendering or process large matrices, the 24 GB frame buffer prevents memory swapping, while the 933.1 GB/s bandwidth ensures data flows quickly to the compute units. The 3072-bit bus width is a defining feature, enabling this high bandwidth. The memory clock of 1215 MHz, with an effective data rate of 2.4 Gbps, is typical for HBM2 implementations. Since the card has no display outputs, this memory is exclusively used for compute and off-screen processing, not for driving monitors. The 24 GB capacity is particularly useful for models that exceed the memory limits of smaller accelerators. At high resolutions, such as those used in off-screen rendering or large-scale simulations, the 933.1 GB/s bandwidth reduces bottlenecks, while the 24 GB capacity allows for larger textures and datasets to reside entirely in memory.

Who Should Consider It

This card is clearly aimed at server or workstation compute environments. The absence of display outputs means it cannot be used for direct visual output. Therefore, it suits users running headless compute nodes, AI inference, or scientific simulations that benefit from 24 GB of HBM2 memory and 933.1 GB/s bandwidth. The 10.32 TFLOPS FP32 performance is adequate for general-purpose compute, though the 1:1 FP16 ratio means it won't excel in workloads that rely on FP16 acceleration. For high-resolution off-screen rendering tasks, the 24 GB capacity and high bandwidth are advantageous, but the lack of RT cores limits ray-traced workloads. The 165 W TDP makes it a power-efficient choice for dense server deployments. Users who need to process large datasets without the overhead of a display output will find this card suitable. Its end-of-life status, however, means it is no longer in active production, so procurement would rely on existing stock or secondary markets. For workloads that require high memory bandwidth and capacity but do not need real-time graphics output, this card offers a balanced specification set.

How It Compares

The fact pack provides no nearestRivals data for this SKU. Consequently, there are no rival names, scores, or deltaPct values to reference. The only positional metric is the 50th percentile against all GPUs in the database. This absence of rival data means direct comparative statements, such as percentage leads or deficits, cannot be made. The analysis must therefore rely on the theoretical specifications and the percentile rank to infer its standing. The predecessor, Tesla Turing, and successor, Server Ada, are noted in the fact pack, but no performance scores for these are provided, so a generational comparison is not possible from the data. The 50th percentile rank is the sole comparative anchor, indicating a median position within the database's entire GPU population, but without specific rival entries, the exact competitive margins remain undefined.

FAQ

Q: What is the memory configuration of the PG506-207?

A: It has 24 GB of HBM2 memory with a 3072-bit bus width and 933.1 GB/s bandwidth.

Q: Does the PG506-207 have ray tracing cores?

A: No. The fact pack lists RT cores as null, indicating no dedicated ray tracing hardware.

Q: What is the TDP and PSU recommendation?

A: The TDP is 165 W, and the suggested PSU is 450 W. It requires an 8-pin EPS power connector.

Q: What is the production status and release date?

A: It is end-of-life, with a release date of 2021-04-11.

Q: What API support is documented?

A: DirectX, OpenGL, and Vulkan are all listed as null, meaning no API support is recorded in the fact pack.

Q: What is the FP16 performance?

A: FP16 throughput is 10.32 TFLOPS, which is a 1:1 ratio with FP32 performance.

Power and Cooling

The PG506-207 has a TDP of 165 W. The suggested power supply is 450 W, and it uses a single 8-pin EPS power connector. This connector type is typical for server motherboards rather than consumer PSUs. The card is dual-slot in width, with a length of 267 mm (10.5 inches) and a height of 112 mm (4.4 inches). The 165 W TDP is modest, allowing for a simpler cooling solution within the dual-slot form factor. The dimensions ensure it fits standard server chassis, but the EPS connector requirement means a compatible motherboard or adapter is necessary. The power connector is specifically 8-pin EPS, which is distinct from the more common 8-pin PCIe power connector found on consumer cards. This reinforces the server-oriented design. The low TDP relative to the memory bandwidth and compute rates suggests a well-tuned power envelope, which is beneficial for multi-card server configurations where thermal density is a concern.

Ray Tracing and Feature Set

The PG506-207 includes 224 tensor cores, which are designed for AI and deep learning workloads. However, RT cores are listed as null, meaning there is no dedicated ray tracing acceleration hardware. The API support for DirectX, OpenGL, and Vulkan is all null, indicating that this card is not intended for consumer graphics APIs. The feature set is therefore focused on compute and tensor operations, not on real-time graphics. The 224 tensor cores provide the matrix math acceleration needed for neural network inference and training, while the absence of RT cores and graphics APIs confirms its server-oriented positioning. The 3584 shading units and 224 texture mapping units are present, but without API support, they serve compute workloads rather than traditional graphics rendering. The 96 raster operation units handle pixel processing, but again, these are not exposed to standard graphics pipelines. The combination of 224 tensor cores and the 1:1 FP16/FP32 ratio makes this card a specialized compute accelerator, with ray tracing and graphics API features entirely absent from its specification.