NVIDIA A30X
NVIDIA graphics card specifications and benchmark scores
Tensor CoresAt a Glance
NVIDIANVIDIA A30X Specifications
GPU Core
Shader units and compute resources
The NVIDIA A30X 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.
A30X Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A30X'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 A30X by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A30X Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A30X'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.
A30X by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A30X, 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.
A30X Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A30X 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.
A30X Ray Tracing & AI
Hardware acceleration features
The NVIDIA A30X 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 A30X capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A30X 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 A30X will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A30X 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 A30X to maintain boost clocks without throttling.
A30X by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A30X 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 A30X. 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.
A30X Product Information
Release and pricing details
The NVIDIA A30X 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 A30X by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA A30X
The NVIDIA A30X is a specialized server accelerator built on the Ampere architecture, and its data reveals a product with a very specific purpose: high-efficiency compute within a constrained power envelope. While it lacks the raw gaming focus of consumer parts, its specifications indicate a capable performer for professional workloads. The benchmark data positions it at the 50th percentile among all GPUs, indicating a mid-pack standing in the broader performance hierarchy.
Power and Cooling
The A30X is defined by a moderate thermal design power (TDP) of 230 W, which is notably modest for a server accelerator of its class. This power target allows for a dual-slot cooling solution, making it a practical option for dense server configurations where space and airflow are at a premium. The cooling design is sufficient to manage the heat output from the GA100 chip, but the absence of specific thermal metrics in the data means the focus remains on its power efficiency rather than peak cooling capability.
For system integration, the A30X requires a single 16-pin power connector. This is a straightforward requirement, but it mandates that the host system's power supply is equipped with the appropriate modern connector. The suggested power supply rating for a system housing this card is 550 W. This figure likely accounts for the card's own draw and a reasonable allowance for the rest of the system's components, ensuring stable operation under load. The 230 W TDP is a key differentiator, suggesting that systems can be built around this card without the extreme power delivery infrastructure required by higher-tier accelerators.
Memory Subsystem
The A30X is equipped with a substantial 24 GB of HBM2e memory, a configuration that signals its design for large datasets and complex models. The memory interface is a massive 3072-bit bus, which is a hallmark of high-bandwidth computing. This wide bus, combined with the HBM2e technology, yields a staggering memory bandwidth of 1.22 TB/s. This figure is critical for performance in memory-bound workloads, such as large language model inference or high-resolution scientific simulations.
In practical terms, this bandwidth means the GPU can feed its 3584 shading units and 224 tensor cores with data at an extremely rapid rate, minimizing stalls and maximizing compute utilization. For high-resolution tasks, the 24 GB capacity ensures that large textures, datasets, or intermediate buffers can reside entirely on the card, avoiding the severe performance penalty of spilling to system memory. This combination of capacity and bandwidth makes the A30X well-suited for tasks that would cripple GPUs with smaller memory pools. The 1:1 FP16/FP32 ratio in the compute performance suggests a balanced architecture, but the memory subsystem is clearly the star, providing the data throughput necessary to keep the compute units busy.
Who Should Consider It
The data suggests the A30X is not a general-purpose consumer graphics card, but a targeted solution for specific professional environments. With its 24 GB memory and 50th percentile standing, it is positioned for users who need to process large datasets but do not require the absolute peak performance of flagship accelerators. This card is best suited for compute workloads like AI inference, data analytics, and scientific computing, where memory capacity and bandwidth are more critical than raw pixel-pushing power.
For resolution and settings guidance, the lack of standard gaming benchmarks means we must infer from its specifications. The card's compute focus and high memory bandwidth suggest it would handle high-resolution rendering tasks well, but its 96 ROPs and 138.2 GPixel/s pixel rate indicate it is not optimized for high-refresh-rate gaming. Instead, consider it for tasks where data throughput is paramount. It is an ideal choice for a server node dedicated to processing large batches of data or running models that exceed the memory capacity of consumer cards. Its 230 W TDP makes it a more manageable component for multi-GPU servers where power and cooling budgets are a primary concern.
How It Compares
The FACT PACK provides no nearest rivals or comparative benchmark scores, making a direct performance ranking impossible. Therefore, a comparative analysis must be based on its internal specifications and known architectural positioning. The A30X sits in the "Server Ampere (Axx)" generation, following "Tesla Turing" and preceding "Server Ada". This places it as a middle-generation product, likely offering an improvement over its predecessor but being superseded by newer technology.
Without direct rival data, the comparison is contextual. Its 50th percentile score against all GPUs suggests it outperforms a significant portion of the market, likely including older server parts and many consumer cards. However, it is equally clear that it does not compete with the top-tier accelerators that would occupy the 90th percentile and above. The A30X's value proposition is not about being the fastest, but about being a well-balanced, power-efficient compute unit. Its 3584 shading units and 224 tensor cores provide a solid compute foundation, but the lack of a specified RT core count and API support data makes it difficult to assess its capabilities in modern graphics workloads compared to contemporary rivals.
Benchmark Performance
The benchmark data for the A30X is sparse, with no specific scores and no rival comparisons. The only performance indicator available is the `percentileVsAllGpus` field, which reports a value of 50. This indicates that the A30X performs better than half of all GPUs in the database. While this is a useful general indicator, it is a single data point and lacks the granularity to draw conclusions about specific workload performance.
The performance profile is better understood through its theoretical specifications. The FP32 compute throughput is 10.32 TFLOPS, which is a solid number for a mid-range accelerator. This is matched by an equal FP16 throughput of 10.32 TFLOPS (1:1), indicating that the card does not have a dedicated, accelerated path for half-precision data as seen in some other architectures. This "1:1" ratio is unusual and suggests a design where FP16 is processed at the same rate as FP32, which could be a limiting factor for AI workloads that heavily rely on FP16. The texture rate of 322.6 GTexel/s and pixel rate of 138.2 GPixel/s are respectable, but again, they point towards compute density rather than pure graphics throughput.
FAQ
Q: What is the memory bandwidth of the NVIDIA A30X?
A: The A30X features a memory bandwidth of 1.22 TB/s, enabled by its 3072-bit bus and HBM2e memory type.
Q: How much power does the A30X consume and what PSU is recommended?
A: The card has a TDP of 230 W and requires a single 16-pin power connector. NVIDIA suggests a 550 W power supply for systems using this card.
Q: What is the performance percentile of the A30X compared to all other GPUs?
A: The A30X is at the 50th percentile of all GPUs in the database, meaning it performs better than half of them.
Q: Does the A30X support standard graphics APIs like DirectX or Vulkan?
A: The data does not list support for DirectX, OpenGL, or Vulkan, indicating it is not designed for standard gaming or graphics rendering tasks.
Q: What is the transistor count and die size of the A30X?
A: The A30X is built on a GA100 chip containing 54,200 million transistors on an 826 mm² die, manufactured on a 7 nm process at TSMC.
Ray Tracing and Feature Set
The A30X's feature set is defined by its compute-centric design. The data does not specify a number of ray tracing cores (RT cores are listed as null), which strongly suggests that ray tracing acceleration is not a primary focus or may not be present in the traditional sense. This is consistent with its positioning as a server accelerator rather than a consumer graphics card. The absence of API support details (DirectX, OpenGL, Vulkan are all null) further reinforces that this is not a card for gaming or workstation graphics applications that rely on these standard interfaces.
Instead, the key feature is the 224 tensor cores, which are dedicated to accelerating AI and deep learning operations. This makes the A30X a relevant piece of hardware for inference and training tasks. The lack of display outputs confirms its headless server role, where all computations are performed and results are passed over the PCIe 4.0 x8 interface. The card's "End-of-life" production status and its release in April 2021 indicate it is a mature product, likely being phased out in favor of its "Server Ada" successor. Its feature set is thus a snapshot of the Ampere generation's server capabilities, focused on dense compute and AI acceleration, with a deliberate omission of graphics-oriented features.
Detailed benchmark scores and charts for the NVIDIA A30X are below.
Benchmark Scores
No benchmark data available for this GPU.
Compare with Other GPUs
Select another GPU to compare specifications and benchmarks side-by-side.
Browse GPUs