Home GPU Comparison NVIDIA RTX A1000 Embedded vs NVIDIA Tesla K40d

NVIDIA RTX A1000 Embedded vs NVIDIA Tesla K40d

We compared two Professional market GPUs: 4GB VRAM RTX A1000 Embedded and 12GB VRAM Tesla K40d to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A1000 Embedded 's Advantages
Released 8 years and 2 months late
Boost Clock has increased by 86% (1627MHz vs 876MHz)
Lower TDP (60W vs 245W)
NVIDIA Tesla K40d 's Advantages
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (288.4GB/s vs 224.0GB/s)
832 additional rendering cores

Score

Benchmark

FP32 (float)
RTX A1000 Embedded +32%
6.664 TFLOPS
Tesla K40d
5.046 TFLOPS
VS

Graphics Card

Jan 2022
Release Date
Nov 2013
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1192 MHz
Base Clock
745 MHz
1627 MHz
Boost Clock
876 MHz
1750 MHz
Memory Clock
1502 MHz

Memory

4GB
Memory Size
12GB
GDDR6
Memory Type
GDDR5
128bit
Memory Bus
384bit
224.0GB/s
Bandwidth
288.4GB/s

Render Config

-
-
-
16
SM Count
-
2048
Shading Units
2880
64
TMUs
240
48
ROPs
48
64
Tensor Cores
-
16
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
2 MB
L2 Cache
1536 KB
-
-
-

Theoretical Performance

78.10 GPixel/s
Pixel Rate
52.56 GPixel/s
104.1 GTexel/s
Texture Rate
210.2 GTexel/s
6.664 TFLOPS
FP16 (half)
-
6.664 TFLOPS
FP32 (float)
5.046 TFLOPS
104.1 GFLOPS
FP64 (double)
1.682 TFLOPS

Board Design

60W
TDP
245W
-
Suggested PSU
550 W
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GA107S
GPU Name
GK110B
-
-
-
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
Unknown
Transistors
7.08 billion
Unknown
Die Size
561 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.6
CUDA
3.5
6.6
Shader Model
5.1

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