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NVIDIA A10G

NVIDIA graphics card specifications and benchmark scores

24 GB
VRAM
1710
MHz Boost
150W
TDP
384
Bus Width
Ray Tracing 🤖Tensor Cores

NVIDIA A10G Specifications

⚙️

A10G 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.

Shading Units
9,216
Shaders
9,216
TMUs
288
ROPs
96
SM Count
72
⏱️

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.

Base Clock
1320 MHz
Base Clock
1,320 MHz
Boost Clock
1710 MHz
Boost Clock
1,710 MHz
Memory Clock
1563 MHz 12.5 Gbps effective
GDDR GDDR 6X 6X

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.

Memory Size
24 GB
VRAM
24,576 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
384 bit
Bus Width
384-bit
Bandwidth
600.2 GB/s
💾

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.

L1 Cache
128 KB (per SM)
L2 Cache
6 MB
📈

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.

FP32 (Float)
31.52 TFLOPS
FP64 (Double)
985.0 GFLOPS (1:32)
FP16 (Half)
31.52 TFLOPS (1:1)
Pixel Rate
164.2 GPixel/s
Texture Rate
492.5 GTexel/s

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.

RT Cores
72
Tensor Cores
288
🏗️

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.

Architecture
Ampere
GPU Name
GA102
Process Node
8 nm
Foundry
Samsung
Transistors
28,300 million
Die Size
628 mm²
Density
45.1M / mm²
🔌

NVIDIA's A10G 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.

TDP
150 W
TDP
150W
Power Connectors
8-pin EPS
Suggested PSU
450 W
📐

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.

Slot Width
Single-slot
Length
267 mm 10.5 inches
Height
112 mm 4.4 inches
Bus Interface
PCIe 4.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
🎮

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.

DirectX
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
8.6
Shader Model
6.8
📦

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.

Manufacturer
NVIDIA
Release Date
Apr 2021
Production
End-of-life
Predecessor
Tesla Turing
Successor
Server Ada

A10G 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.

geekbench_opencl #39 of 582
158,063
42%
Max: 380,114
Compare with other GPUs

geekbench_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.

geekbench_vulkan #37 of 386
145,863
38%
Max: 379,571
Compare with other GPUs

About NVIDIA A10G

Is the NVIDIA A10G the ideal accelerator for your professional workloads? With 24 GB of GDDR6 VRAM and an Ampere architecture built on an 8 nm process, it excels in compute-intensive tasks, boasting Geekbench OpenCL scores of 158,063 points. Have you evaluated its PCIe 4.0 x16 interface for seamless integration into modern workstations? The base clock of 1320 MHz and boost up to 1710 MHz ensure reliable performance under load. Does its 150 W TDP make it suitable for power-efficient content creation suitability? Released in April 2021, the NVIDIA A10G continues to deliver stability in demanding environments.

Are you questioning the driver support and stability of the A10G for long-term workstation builds? NVIDIA's robust software ecosystem provides optimized drivers that minimize crashes and maximize uptime. With Geekbench Vulkan benchmarks reaching 145,863 points, it handles rendering and simulation workloads with precision. Have you considered how its low thermal design power fits into dense server configurations? Is the A10G's architecture future-proof for evolving professional needs? What about its proven track record in content creation pipelines?

  • 24 GB GDDR6 VRAM for memory-intensive applications
  • Ampere architecture with 8 nm process for efficiency
  • Geekbench OpenCL: 158,063 points
  • Geekbench Vulkan: 145,863 points
  • 150 W TDP and PCIe 4.0 x16 for versatile workstation deployment

The AMD Equivalent of A10G

Looking for a similar graphics card from AMD? The AMD Radeon RX 6700 XT offers comparable performance and features in the AMD lineup.

AMD Radeon RX 6700 XT

AMD • 12 GB VRAM

View Specs Compare

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