NVIDIA A10G
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA A10G Specifications
GPU Core
Shader units and compute resources
The NVIDIA A10G 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.
A10G Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A10G'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 A10G by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A10G Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A10G'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.
A10G by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A10G, 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.
A10G Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A10G 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.
A10G Ray Tracing & AI
Hardware acceleration features
The NVIDIA A10G 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 A10G capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A10G 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 A10G will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A10G 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 A10G to maintain boost clocks without throttling.
A10G by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A10G 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 A10G. 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.
A10G Product Information
Release and pricing details
The NVIDIA A10G 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 A10G by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA A10G
Benchmark data for the NVIDIA A10G places it in the 98th percentile of all GPUs in the database, with an average benchmark score of 151963 across Geekbench OpenCL and Geekbench Vulkan tests. The A10G is built on NVIDIA’s GA102 chip, an Ampere-architecture part belonging to the Server Ampere (Axx) generation. Samsung’s 8 nm process is used for the die, which contains 28,300 million transistors over a 628 mm² area, for a transistor density of 45.1 million per square millimeter. The board is configured with 24 GB of GDDR6 memory on a 384-bit bus, delivering 600.2 GB/s of bandwidth. Its compute array includes 9,216 shading units, 288 texture mapping units, 96 ROPs, 72 RT cores, and 288 tensor cores. The base clock is 1320 MHz, with a boost clock of 1710 MHz, while memory runs at 1563 MHz, or 12.5 Gbps effective. Fill rates are listed at 164.2 GPixel/s and 492.5 GTexel/s. FP32 throughput is 31.52 TFLOPS, and FP16 throughput is also 31.52 TFLOPS on a 1:1 basis. The card is a single-slot design measuring 267 mm in length and 112 mm in height, uses an 8-pin EPS power connector, and carries a 150 W TDP with a 450 W suggested PSU. It has no display outputs.
How It Compares
Against the AMD Radeon Pro W6900X, the A10G trails in aggregate benchmark score. The W6900X averages 160049, while the A10G averages 151963. The deltaPct of -5.1 means the A10G’s average score is 5.1% below the W6900X. This is a relatively narrow gap, placing the two cards close together in the database’s ranking.
The AMD Radeon PRO W7800 presents a nearly identical challenge. It averages 160108, with a deltaPct of -5.1 against the A10G. The A10G therefore sits 5.1% behind this rival as well, and the W7800’s average score is only slightly higher than the W6900X’s, so the A10G faces effectively the same competitive position against both.
The AMD Radeon Pro W6800X Duo is the one nearest rival where the A10G leads. The Duo averages 143766, while the A10G averages 151963. The deltaPct is 5.7, indicating the A10G’s average benchmark score is 5.7% higher than the Duo’s. That advantage is similar in size to the deficits seen against the other rivals, just in the opposite direction.
The AMD Radeon Pro W6800X posts the highest average score of the four listed rivals at 160309. The deltaPct of -5.2 shows the A10G is 5.2% behind. Taken together, the nearest rivals bracket the A10G closely: the fastest competitor is about 5.2% ahead, and the slowest is about 5.7% behind.
Who Should Consider It
The A10G is a server-oriented accelerator rather than a desktop display card, since its specification lists no display outputs. That makes it a fit for systems where rendering or compute happens offscreen and results are delivered through other means. The 24 GB GDDR6 frame buffer, paired with 600.2 GB/s of bandwidth, gives it capacity for large datasets, textures, and geometry buffers. Its 98th-percentile ranking among all GPUs indicates strong overall performance for demanding workloads.
For environments that rely on OpenCL, the A10G’s Geekbench OpenCL score of 158063 is above its own average of 151963, making OpenCL the stronger of the two benchmark paths. Vulkan-based workloads still score 145863, which is below the average but in the same general performance class as its nearest rivals. The 1:1 FP16 and FP32 ratio at 31.52 TFLOPS suggests workloads that can use lowered precision will not lose throughput relative to FP32, a useful trait for mixed-precision compute.
The physical design also matters for deployment. The A10G is single-slot, 267 mm long, and uses an 8-pin EPS connector. The 150 W TDP and 450 W suggested PSU are modest for the performance class indicated by the 98th-percentile score. Because the production status is end-of-life, the data positions this as a card for existing server fleets or planned builds that can take advantage of the listed interfaces and power envelope.
Benchmark Performance
The A10G’s aggregate benchmark score of 151963 is supported by two API-specific results: 158063 in Geekbench OpenCL and 145863 in Geekbench Vulkan. The OpenCL result is above the average, while the Vulkan result is below it, showing that the A10G’s average is pulled strongly by its OpenCL performance. The delta between the two API scores is meaningful, but the A10G remains competitive with all four listed rivals regardless of which API is considered.
The nearest rival data gives clear percentage positions. The A10G is 5.1% behind the AMD Radeon Pro W6900X, whose average score is 160049. It is also 5.1% behind the AMD Radeon PRO W7800, which averages 160108. The AMD Radeon Pro W6800X is the highest-scoring rival at 160309, and the A10G trails it by 5.2%. Conversely, the A10G leads the AMD Radeon Pro W6800X Duo by 5.7%, with the Duo’s average sitting at 143766.
These percentage gaps are compact. The four rivals span a range from 143766 to 160309, and the A10G’s average of 151963 sits essentially in the middle of that range. The percentileVsAllGpus value of 98 reinforces that this is a high-end part relative to the broader GPU database, even though the nearest rivals are within roughly 5% of the A10G in either direction.
The compute throughput numbers in the specification are consistent with that positioning. The A10G is rated for 31.52 TFLOPS in both FP32 and FP16, with a texture rate of 492.5 GTexel/s and a pixel rate of 164.2 GPixel/s. The memory bus width of 384 bit and bandwidth of 600.2 GB/s provide a wide data path for the compute array. In short, the benchmark data shows a card that sits just below the strongest AMD workstation rivals while staying clearly ahead of the lower-scoring W6800X Duo.
FAQ
Q: What is the A10G’s average benchmark score and overall rank?
A: The average benchmark score is 151963, based on Geekbench OpenCL and Geekbench Vulkan results. The card ranks in the 98th percentile of all GPUs in the database.
Q: How does the A10G compare to the AMD Radeon Pro W6800X Duo?
A: The A10G has an average score of 151963, while the W6800X Duo averages 143766. The deltaPct of 5.7 means the A10G is 5.7% faster in aggregate benchmark score.
Q: Does the A10G have display outputs?
A: No. The specification lists “No outputs” for display outputs, so the card is not equipped for direct display connection.
Q: What memory configuration does the A10G use?
A: It uses 24 GB of GDDR6 on a 384-bit bus, with a memory clock of 1563 MHz, 12.5 Gbps effective, and 600.2 GB/s of bandwidth.
Q: Which APIs are supported by the A10G?
A: The supported APIs are DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The hardware also includes 72 RT cores and 288 tensor cores.
Q: What power connector and PSU recommendation are listed?
A: The A10G uses an 8-pin EPS power connector, carries a 150 W TDP, and lists a 450 W suggested PSU.
Ray Tracing and Feature Set
The A10G is an Ampere-architecture GPU with a dedicated ray tracing hardware block: 72 RT cores are present in the specification. This is supported by 288 tensor cores, which handle matrix-style compute workloads. The API list includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, giving the card a broad set of modern graphics interfaces.
Feature-level data also matters for deployment decisions. The bus interface is PCIe 4.0 x16, and the card is single-slot with an 8-pin EPS power connector. The card uses a 150 W TDP and suggests a 450 W PSU. Its memory system is 24 GB GDDR6 over a 384-bit bus, which is relevant for ray traced scenes that need large resident geometry and texture data. The 600.2 GB/s bandwidth provides the data movement capacity to feed the 72 RT cores and 288 tensor cores.
The absence of display outputs separates the A10G from workstation cards aimed at direct visualization. Instead, the feature set is oriented toward server acceleration, where rendering and compute are performed without a local display. The DirectX 12 Ultimate (12_2) entry, Vulkan 1.4 support, and OpenGL 4.6 support together allow integration into a variety of compute and rendering stacks without requiring a direct attached monitor.
Detailed benchmark scores and charts for the NVIDIA A10G are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA A10G handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA A10G performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL. Modern games and applications increasingly use Vulkan for cross-platform GPU acceleration.
Top 5 Performers
Nearby Performers
Popular NVIDIA A10G Comparisons
See how the A10G stacks up against similar graphics cards from the same generation and competing brands.
Compare with Other GPUs
Select another GPU to compare specifications and benchmarks side-by-side.
Browse GPUs