NVIDIA A10G
NVIDIA graphics card specifications and benchmark scores
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.
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.
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.
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.
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_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.
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.
Popular NVIDIA A10G Comparisons
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