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NVIDIA A2

NVIDIA graphics card specifications and benchmark scores

16 GB
VRAM
1770
MHz Boost
60W
TDP
128
Bus Width
Ray Tracing 🤖Tensor Cores

NVIDIA A2 Specifications

⚙️

A2 GPU Core

Shader units and compute resources

The NVIDIA A2 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
1,280
Shaders
1,280
TMUs
40
ROPs
32
SM Count
10
⏱️

A2 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the A2'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 A2 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1440 MHz
Base Clock
1,440 MHz
Boost Clock
1770 MHz
Boost Clock
1,770 MHz
Memory Clock
1563 MHz 12.5 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's A2 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A2'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
16 GB
VRAM
16,384 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
128 bit
Bus Width
128-bit
Bandwidth
200.1 GB/s
💾

A2 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the A2, 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
2 MB
📈

A2 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA A2 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)
4.531 TFLOPS
FP64 (Double)
70.80 GFLOPS (1:64)
FP16 (Half)
4.531 TFLOPS (1:1)
Pixel Rate
56.64 GPixel/s
Texture Rate
70.80 GTexel/s

A2 Ray Tracing & AI

Hardware acceleration features

The NVIDIA A2 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 A2 capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
10
Tensor Cores
40
🏗️

Ampere Architecture & Process

Manufacturing and design details

The NVIDIA A2 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 A2 will perform in GPU benchmarks compared to previous generations.

Architecture
Ampere
GPU Name
GA107
Process Node
8 nm
Foundry
Samsung
Transistors
8,700 million
Die Size
200 mm²
Density
43.5M / mm²
🔌

NVIDIA's A2 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA A2 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 A2 to maintain boost clocks without throttling.

TDP
60 W
TDP
60W
Power Connectors
None
Suggested PSU
250 W
📐

A2 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA A2 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
Bus Interface
PCIe 4.0 x8
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 A2. 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
📦

A2 Product Information

Release and pricing details

The NVIDIA A2 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 A2 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
Nov 2021
Production
End-of-life
Predecessor
Quadro Turing
Successor
Workstation Ada

A2 Benchmark Scores

geekbench_openclSource

Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA A2 handles parallel computing tasks like video encoding and scientific simulations.

geekbench_opencl #223 of 582
34,866
9%
Max: 380,114
Compare with other GPUs

🏆 Top 5 Performers

About NVIDIA A2

The NVIDIA A2, often termed a compact powerhouse, carves its niche in the professional and edge computing landscape, but its architectural DNA invites questions about gaming viability. Built on NVIDIA's efficient Ampere architecture and an 8 nm process, this card's 16 GB GDDR6 memory seems generous on paper, yet its PCIe 4.0 x8 interface and modest 60W TDP signal a design focused on density and power efficiency, not raw frame pushing. With a base clock of 1440 MHz and a boost up to 1770 MHz, one must ask: can this hardware truly deliver a compelling gaming experience, or is it destined solely for server racks? The Geekbench OpenCL score of 34,866 points hints at competent compute performance, but how does that translate to the real-time demands of modern game engines? While it supports advanced graphics features like ray tracing and DLSS, its thermal design prioritizes silent, passive, or minimal active cooling, raising immediate concerns about sustained boost clocks during intense gaming sessions. Is this an untapped budget gem, or are gamers better served by explicitly consumer-focused SKUs from the same manufacturer?

Delving into frame rates and resolution support, the A2 by NVIDIA presents a fascinating paradox of capability and constraint. Its 16 GB VRAM buffer is theoretically ample for 1440p and even 4K textures, but the core GPU silicon, with its 60W power envelope, may struggle to drive those pixels at high refresh rates in demanding titles. Could this card be the ultimate solution for lightweight esports titles or older AAA games at 1080p, where its memory advantage and feature set shine? The cooling considerations are paramount; its typical server-oriented cooling solutions might not handle the sporadic, bursty loads of gaming without thermal throttling, prompting enthusiasts to ponder custom cooling modifications. For cloud gaming instances or media servers handling game streaming, however, this GPU's balance of hardware encoding prowess and low power draw could be optimal. So, where does that leave the traditional desktop gamer evaluating this pro-centric card?

Let's dissect its optimal use cases, because frankly, trying to slot this Ampere-based card into a standard gaming rig might be missing its intended brilliance. This isn't a flagship gaming beast; it's a precision instrument for edge AI, inferencing, and dense virtualization environments where its 60W TDP is a major asset. The professional A2 accelerator excels in dedicated applications:

  • Edge AI servers performing real-time video analytics.
  • VDI (Virtual Desktop Infrastructure) deployments for lightweight professional workloads.
  • Media streaming servers leveraging its NVENC encoders.
  • Compact workstations for AI prototyping and inference.
  • Silent, low-power builds for specific compute tasks.
For a gamer, its value is highly situational perhaps in a ultra-small-form-factor (USFF) HTPC that occasionally games, or as a secondary card for streaming. The question becomes: are you buying a GPU for its intended purpose, or trying to force a square peg into a round hole?

Ultimately, the NVIDIA Ampere A2 demands a clear-eyed assessment of needs versus wants. This particular graphics card from NVIDIA challenges conventional categorization, offering a tantalizing spec sheet that belies its specialized design. It’s a reminder that not all performance is measured in frames per second; sometimes it's in inferences per second or virtual desktops per watt. For the tech-savvy tinkerer with specific, mixed-use needs, it presents an intriguing, power-efficient puzzle. Yet, for the dedicated gamer seeking high frame rates at high resolutions, its constraints in thermal design and core clock speeds are likely too significant to overlook. The final verdict hinges on whether your primary metric is computational efficiency or gaming fluency, as this card is engineered to excel decisively at the former.

The AMD Equivalent of A2

Looking for a similar graphics card from AMD? The AMD Radeon RX 6600 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 6600

AMD • 8 GB VRAM

View Specs Compare

Popular NVIDIA A2 Comparisons

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