Home GPU Comparison NVIDIA RTX A1000 Embedded vs NVIDIA Tesla K8

NVIDIA RTX A1000 Embedded vs NVIDIA Tesla K8

We compared two Professional market GPUs: 4GB VRAM RTX A1000 Embedded and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A1000 Embedded 's Advantages
Released 7 years and 4 months late
Boost Clock has increased by 101% (1627MHz vs 811MHz)
Larger VRAM bandwidth (224.0GB/s vs 160.0GB/s)
512 additional rendering cores
Lower TDP (60W vs 100W)
NVIDIA Tesla K8 's Advantages
More VRAM (8GB vs 4GB)

Score

Benchmark

FP32 (float)
RTX A1000 Embedded +167%
6.664 TFLOPS
Tesla K8
2.491 TFLOPS

Graphics Card

Jan 2022
Release Date
Sep 2014
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

1192 MHz
Base Clock
693 MHz
1627 MHz
Boost Clock
811 MHz
1750 MHz
Memory Clock
1250 MHz

Memory

4GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5
128bit
Memory Bus
256bit
224.0GB/s
Bandwidth
160.0GB/s

Render Config

-
-
-
16
SM Count
-
2048
Shading Units
1536
64
TMUs
128
48
ROPs
32
64
Tensor Cores
-
16
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
2 MB
L2 Cache
512 KB
-
-
-

Theoretical Performance

78.10 GPixel/s
Pixel Rate
25.95 GPixel/s
104.1 GTexel/s
Texture Rate
103.8 GTexel/s
6.664 TFLOPS
FP16 (half)
-
6.664 TFLOPS
FP32 (float)
2.491 TFLOPS
104.1 GFLOPS
FP64 (double)
103.8 GFLOPS

Board Design

60W
TDP
100W
-
Suggested PSU
300 W
No outputs
Outputs
No outputs
None
Power Connectors
1x 6-pin

Graphics Processor

GA107S
GPU Name
GK104
-
-
-
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
Unknown
Transistors
3.54 billion
Unknown
Die Size
294 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.6
CUDA
3.0
6.6
Shader Model
5.1
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