NVIDIA A10M
NVIDIA graphics card specifications and benchmark scores
NVIDIA A10M Specifications
A10M GPU Core
Shader units and compute resources
The NVIDIA A10M 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.
A10M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A10M'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 A10M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A10M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A10M'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.
A10M by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A10M, 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.
A10M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A10M 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.
A10M Ray Tracing & AI
Hardware acceleration features
The NVIDIA A10M 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 A10M capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A10M 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 A10M will perform in GPU benchmarks compared to previous generations.
NVIDIA's A10M Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A10M 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 A10M to maintain boost clocks without throttling.
A10M by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A10M 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 A10M. 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.
A10M Product Information
Release and pricing details
The NVIDIA A10M 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 A10M by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
A10M Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA A10M handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
About NVIDIA A10M
The NVIDIA A10M GPU is engineered for demanding professional workloads, leveraging its Ampere architecture and 20 GB of GDDR6 memory to accelerate complex simulations, rendering, and AI inference tasks. For video editing, this graphics processor delivers robust performance in applications like DaVinci Resolve and Adobe Premiere Pro, where its substantial memory buffer efficiently handles high-resolution timelines and effects. It carries key professional certifications from leading ISV partners, ensuring stability and optimized performance in critical software environments. When integrated into a modern workstation build centered on PCIe 4.0 and a capable CPU, the A10M forms a reliable core for content creation and technical computing. Its balanced 150W TDP makes it suitable for a variety of system configurations without excessive thermal overhead. Key specifications that enable this performance include:
- 20 GB GDDR6 memory for large datasets
- Ampere architecture with 3rd generation Tensor Cores
- PCIe 4.0 x16 interface for high bandwidth
- Professional driver certification for stability
The AMD Equivalent of A10M
Looking for a similar graphics card from AMD? The AMD Radeon RX 7700 offers comparable performance and features in the AMD lineup.
Popular NVIDIA A10M Comparisons
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