NVIDIA A30 PCIe
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA A30 PCIe Specifications
GPU Core
Shader units and compute resources
The NVIDIA A30 PCIe 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.
A30 PCIe Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A30 PCIe'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 A30 PCIe by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A30 PCIe Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A30 PCIe'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.
A30 PCIe by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A30 PCIe, 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.
A30 PCIe Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A30 PCIe 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.
A30 PCIe Ray Tracing & AI
Hardware acceleration features
The NVIDIA A30 PCIe 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 A30 PCIe capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A30 PCIe 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 A30 PCIe will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A30 PCIe 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 A30 PCIe to maintain boost clocks without throttling.
A30 PCIe by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A30 PCIe 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 A30 PCIe. 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.
A30 PCIe Product Information
Release and pricing details
The NVIDIA A30 PCIe 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 A30 PCIe by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA A30 PCIe
The NVIDIA A30 PCIe is a server-focused accelerator built on the Ampere architecture, designed for compute workloads rather than traditional gaming. It is a dual-slot card with no display outputs, indicating its purpose as a dedicated compute accelerator for data centers and enterprise servers. The card is now end-of-life, with its predecessor in the Tesla Turing line and its successor in the Server Ada generation.
Power and Cooling
The A30 PCIe carries a thermal design power (TDP) of 165 W, a modest figure for a card with a 7 nm process node and a die size of 826 mm². This relatively low power envelope suggests efficient operation for the compute density on offer. For system integration, the manufacturer recommends a 450 W power supply, which is a standard requirement for a card of this class and leaves ample headroom for the rest of the server platform.
Power delivery is handled via a single 8-pin EPS connector. This is a notable distinction from consumer graphics cards, which typically use PCIe power connectors. The EPS connector is standard for server and workstation components, so system builders should ensure their power supply has the appropriate cable available. The card’s physical footprint is 267 mm in length and 112 mm in height, making it a dual-slot solution that will fit in most server chassis designed for full-length accelerator cards. The cooling solution is unspecified, but given the 165 W TDP, a capable air cooler is sufficient to maintain operational temperatures.
Who Should Consider It
The A30 PCIe is not a gaming card, and its benchmark percentile of 50 compared to all GPUs places it in the middle of the pack for overall performance, but its architecture and memory configuration target specific professional tasks. Given its 24 GB of HBM2e memory and high bandwidth, it is suited for workloads that require large datasets to be resident on the GPU, such as machine learning inference, data analytics, and scientific simulations.
In terms of resolution-based gaming recommendations, the data does not support using this card for that purpose, as it has no display outputs and its FP32 performance of 10.32 TFLOPS is not aligned with real-time rendering demands. Instead, the card is for compute tasks where FP16 and FP32 throughput are important, offering 10.32 TFLOPS for both data types at a 1:1 ratio. For users running inference workloads on large models or processing high-resolution scientific data, the 933.1 GB/s bandwidth will be the primary asset, allowing rapid movement of data across the 3072-bit memory bus. For those with training workloads, the 224 tensor cores provide acceleration for matrix operations, though the card is positioned as a mid-range server option rather than a top-tier training accelerator.
Memory Subsystem
The A30 PCIe is equipped with 24 GB of HBM2e memory, a high-bandwidth memory type that is stacked and situated close to the processor. This memory is connected via a 3072-bit bus, which is exceptionally wide compared to GDDR-based solutions. The memory clock is 1215 MHz, translating to an effective data rate of 2.4 Gbps. The combination of the wide bus and the HBM2e technology yields a total memory bandwidth of 933.1 GB/s.
This bandwidth figure is crucial for high-resolution compute tasks. In scientific computing and AI inference, the bottleneck is often moving data into and out of the compute cores, not the computation itself. With 933.1 GB/s, the A30 can feed its 3584 shading units and 224 tensor cores without stalling, which is essential for maintaining high utilization on large batch sizes or high-resolution tensors. The 24 GB capacity allows for larger models or datasets to be processed in a single pass, reducing the need for frequent data transfers over the PCIe 4.0 x16 interface. While the bus interface supports up to 16 lanes of PCIe 4.0, the high on-card bandwidth means that the card is less reliant on system memory bandwidth for performance.
How It Compares
The FACT PACK provides no nearest rivals for the A30 PCIe, so a direct comparison against specific competing models is not possible based on the available data. However, the card’s position within the broader GPU landscape can be inferred from its percentile score of 50, which indicates that half of all GPUs in the benchmark database perform better and half perform worse. This places the A30 as a median performer in the overall spectrum of graphics hardware.
Without rival names or scores, the analysis must focus on the card’s own specifications. Its predecessor is the Tesla Turing line, and its successor is the Server Ada generation. This generational placement suggests that the A30 occupies a specific niche in NVIDIA’s server lineup, offering a balance of memory capacity and compute throughput at a lower power draw than higher-end accelerators. The lack of display outputs and the use of an EPS power connector reinforce its role as a compute-only device, distinct from any consumer-oriented product. The data shows a card that is end-of-life, meaning it is likely superseded by more efficient or faster options in the Server Ada family, but it remains a viable option for legacy deployments or specific workloads where its 24 GB memory capacity is sufficient.
Benchmark Performance
The benchmark data for the A30 PCIe is notably sparse, with an average benchmark score of 0 and an empty benchmarks list. This indicates that no standardized performance metrics have been recorded in the database for this card, likely due to its server-focused nature and the difficulty of running typical gaming benchmarks on a card without display outputs. The percentile rank of 50 is a relative measure, but without specific scores, it is difficult to quantify its absolute performance against other GPUs.
The compute capabilities are defined by its raw specifications. The card achieves a pixel rate of 138.2 GPixel/s and a texture rate of 322.6 GTexel/s, which are derived from its 96 ROPs and 224 TMUs, respectively, at the boost clock of 1440 MHz. The FP32 performance of 10.32 TFLOPS is the standard measure for single-precision compute, and the FP16 performance is identical at 10.32 TFLOPS, indicating a 1:1 ratio. This is unusual for consumer cards, which often have a 2:1 ratio for FP16, and it highlights the card’s focus on workloads that require consistent precision across data types.
The base clock is 930 MHz, with a boost clock of 1440 MHz, giving a substantial dynamic range. The 54,200 million transistors on a 826 mm² die yield a transistor density of 65.6 million transistors per square millimeter, which is a reflection of the 7 nm manufacturing process from TSMC. For comparative analysis, the data shows no rival scores or delta percentages to reference, so the interpretation is limited to the card’s own specifications. The 50th percentile ranking suggests that while it is not a top-tier performer, it is by no means a weak one, and its strengths lie in memory bandwidth and capacity rather than raw shader throughput.
FAQ
Q: What type of memory does the NVIDIA A30 PCIe use, and how much is there?
A: The card uses 24 GB of HBM2e memory, which is a high-bandwidth memory type suited for compute workloads.
Q: What is the memory bandwidth of the A30 PCIe?
A: The memory bandwidth is 933.1 GB/s, achieved through a 3072-bit memory bus and a 1215 MHz memory clock with a 2.4 Gbps effective data rate.
Q: Does the A30 PCIe support display outputs?
A: No, the card has no display outputs, making it a compute-only accelerator for server use.
Q: What power supply is recommended for the A30 PCIe?
A: The suggested PSU rating is 450 W, and the card itself has a TDP of 165 W with a single 8-pin EPS power connector.
Q: What is the FP32 performance of the A30 PCIe?
A: The FP32 performance is 10.32 TFLOPS, and the FP16 performance is also 10.32 TFLOPS, indicating a 1:1 ratio.
Q: What is the production status of the A30 PCIe?
A: The card is end-of-life, with a release date of April 2021, and it is succeeded by the Server Ada generation.
Detailed benchmark scores and charts for the NVIDIA A30 PCIe are below.
Benchmark Scores
No benchmark data available for this GPU.
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