NVIDIA Tesla K8 vs NVIDIA RTX A1000 Embedded
We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 4GB VRAM RTX A1000 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K8 's Advantages
More VRAM (8GB vs 4GB)
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)
Score
Benchmark
FP32 (float)
Tesla K8
2.491 TFLOPS
RTX A1000 Embedded
+167%
6.664 TFLOPS
Graphics Card
Sep 2014
Release Date
Jan 2022
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
693 MHz
Base Clock
1192 MHz
811 MHz
Boost Clock
1627 MHz
1250 MHz
Memory Clock
1750 MHz
Memory
8GB
Memory Size
4GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
128bit
160.0GB/s
Bandwidth
224.0GB/s
Render Config
-
-
-
-
SM Count
16
1536
Shading Units
2048
128
TMUs
64
32
ROPs
48
-
Tensor Cores
64
-
RT Cores
16
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
25.95 GPixel/s
Pixel Rate
78.10 GPixel/s
103.8 GTexel/s
Texture Rate
104.1 GTexel/s
-
FP16 (half)
6.664 TFLOPS
2.491 TFLOPS
FP32 (float)
6.664 TFLOPS
103.8 GFLOPS
FP64 (double)
104.1 GFLOPS
Board Design
100W
TDP
60W
300 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 6-pin
Power Connectors
None
Graphics Processor
GK104
GPU Name
GA107S
-
-
-
Kepler
Architecture
Ampere
TSMC
Foundry
Samsung
28 nm
Process Size
8 nm
3.54 billion
Transistors
Unknown
294 mm²
Die Size
Unknown
Graphics Features
12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
8.6
5.1
Shader Model
6.6
