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NVIDIA RTX A500

NVIDIA graphics card specifications and benchmark scores

4 GB
VRAM
1770
MHz Boost
60W
TDP
64
Bus Width
Ray Tracing 🤖Tensor Cores

NVIDIA RTX A500 Specifications

⚙️

RTX A500 GPU Core

Shader units and compute resources

The NVIDIA RTX A500 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
2,048
Shaders
2,048
TMUs
64
ROPs
32
SM Count
16
⏱️

RTX A500 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the RTX A500'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 RTX A500 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
1750 MHz 14 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's RTX A500 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX A500'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
4 GB
VRAM
4,096 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
64 bit
Bus Width
64-bit
Bandwidth
112.0 GB/s
💾

RTX A500 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the RTX A500, 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
📈

RTX A500 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX A500 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)
7.250 TFLOPS
FP64 (Double)
113.3 GFLOPS (1:64)
FP16 (Half)
7.250 TFLOPS (1:1)
Pixel Rate
56.64 GPixel/s
Texture Rate
113.3 GTexel/s

RTX A500 Ray Tracing & AI

Hardware acceleration features

The NVIDIA RTX A500 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 RTX A500 capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
16
Tensor Cores
64
🏗️

Ampere Architecture & Process

Manufacturing and design details

The NVIDIA RTX A500 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 RTX A500 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 RTX A500 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA RTX A500 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 RTX A500 to maintain boost clocks without throttling.

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

RTX A500 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA RTX A500 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 RTX A500. 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
📦

RTX A500 Product Information

Release and pricing details

The NVIDIA RTX A500 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 RTX A500 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

RTX A500 Benchmark Scores

📊

No benchmark data available for this GPU.

About NVIDIA RTX A500

Delving into the Radeon NVIDIA RTX A500 reveals a compact powerhouse tailored for entry-level professional workloads, boasting 4GB of GDDR6 VRAM on the efficient Ampere architecture with an 8nm process. Its base clock of 1440 MHz ramps up to a 1770 MHz boost, all within a modest 60W TDP that screams energy efficiency for always-on systems. Investigators like us can't ignore the PCIe 4.0 x8 interface, ensuring solid bandwidth without demanding top-tier slots. But does this translate to real value? For light CAD, video editing, or AI inference, the Radeon NVIDIA RTX A500 punches above its weight, especially post its November 2021 release. Scrutinizing the specs, it's a no-frills option that avoids the bloat of consumer cards.

Positioning the Radeon NVIDIA RTX A500 in today's market uncovers its niche as a budget workstation GPU, sidestepping gaming hype for pro apps like Adobe Suite or basic rendering. Hardware sleuths note its low power draw makes it ideal for dense server racks or small form-factor builds where heat is the enemy. Without benchmark data, we probe deeper: expect smooth 1080p performance in targeted software, but don't push 4K workflows here. Pair it with Ryzen or Intel Core i5 for balanced entry-level rigs. For upgrades, it's a smart swap from older Quadro relics. One build recommendation list stands out after our analysis:

  1. Pair with AMD Ryzen 5 5600G for cost-effective APU fallback in compact ITX cases.
  2. Combine with 16GB DDR4-3200 and NVMe SSD for fast CAD prototyping setups.
  3. Integrate into Dell Precision or HP Z series minis for certified pro deployments.
  4. Cluster multiples in PCIe risers for edge compute nodes under 100W total.

Weighing investment value, the Radeon NVIDIA RTX A500 holds steady appeal for SMBs eyeing long-term reliability over raw speed, with its mature Ampere silicon promising years of driver support. Price probes show it lingering under $300 street, a bargain for PCIe 4.0 entry. Resale holds decent due to NVIDIA's pro ecosystem lock-in. For hobbyist tinkerers, it's a gateway to CUDA experimentation without wallet wreckage. Ultimately, if your workflow fits light pro viz or ML training, this card's value endures grab it before stock vanishes.

The AMD Equivalent of RTX A500

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

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