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GPU Comparison
NVIDIA RTX A500 Embedded vs NVIDIA Tesla C870
NVIDIA RTX A500 Embedded vs NVIDIA Tesla C870
VS
NVIDIA RTX A500 Embedded
NVIDIA Tesla C870
We compared two Professional market GPUs: 4GB VRAM RTX A500 Embedded and 1536MB VRAM Tesla C870 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA RTX A500 Embedded 's Advantages
Released 14 years and 10 months late
Boost Clock1335MHz
More VRAM (4GB vs 1536GB)
Larger VRAM bandwidth (96.00GB/s vs 76.80GB/s)
1920 additional rendering cores
Lower TDP (20W vs 171W)
Score
Benchmark
FP32 (float)
RTX A500 Embedded
+1480%
5.468 TFLOPS
Tesla C870
0.346 TFLOPS
NVIDIA RTX A500 Embedded
VS
NVIDIA Tesla C870
Graphics Card
Mar 2022
Release Date
May 2007
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 1.0 x16
Clock Speeds
435 MHz
Base Clock
-
1335 MHz
Boost Clock
-
1500 MHz
Memory Clock
800 MHz
Memory
4GB
Memory Size
1536MB
GDDR6
Memory Type
GDDR3
64bit
Memory Bus
384bit
96.00GB/s
Bandwidth
76.80GB/s
Render Config
-
-
-
16
SM Count
16
2048
Shading Units
128
64
TMUs
32
32
ROPs
24
64
Tensor Cores
-
16
RT Cores
-
128 KB (per SM)
L1 Cache
-
2 MB
L2 Cache
96 KB
-
-
-
Theoretical Performance
42.72 GPixel/s
Pixel Rate
14.40 GPixel/s
85.44 GTexel/s
Texture Rate
38.40 GTexel/s
5.468 TFLOPS
FP16 (half)
-
5.468 TFLOPS
FP32 (float)
345.6 GFLOPS
85.44 GFLOPS
FP64 (double)
-
Board Design
20W
TDP
171W
-
Suggested PSU
450 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
2x 6-pin
Graphics Processor
GA107S
GPU Name
G80
-
-
-
Ampere
Architecture
Tesla
Samsung
Foundry
TSMC
8 nm
Process Size
90 nm
8.7 billion
Transistors
0.681 billion
200 mm²
Die Size
484 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1 (1.0)
1.3
Vulkan
N/A
8.6
CUDA
1.0
6.7
Shader Model
4.0
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