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GPU Comparison
NVIDIA Quadro K5000M vs NVIDIA Tesla K8
NVIDIA Quadro K5000M vs NVIDIA Tesla K8
VS
NVIDIA Quadro K5000M
NVIDIA Tesla K8
We compared two Professional market GPUs: 4GB VRAM Quadro K5000M and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K8 's Advantages
Released 2 years and 1 months late
Boost Clock811MHz
More VRAM (8GB vs 4GB)
Larger VRAM bandwidth (160.0GB/s vs 96.00GB/s)
192 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro K5000M
1.615 TFLOPS
Tesla K8
+54%
2.491 TFLOPS
Quadro K5000M
VS
Tesla K8
Graphics Card
Aug 2012
Release Date
Sep 2014
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-B (3.0)
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
Base Clock
693 MHz
-
Boost Clock
811 MHz
750 MHz
Memory Clock
1250 MHz
Memory
4GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
256bit
Memory Bus
256bit
96.00GB/s
Bandwidth
160.0GB/s
Render Config
-
SM Count
-
-
Compute Units
-
1344
Shading Units
1536
112
TMUs
128
32
ROPs
32
-
Tensor Cores
-
-
RT Cores
-
16 KB (per SMX)
L1 Cache
16 KB (per SMX)
512 KB
L2 Cache
512 KB
Theoretical Performance
16.83 GPixel/s
Pixel Rate
25.95 GPixel/s
67.31 GTexel/s
Texture Rate
103.8 GTexel/s
-
FP16 (half)
-
1.615 TFLOPS
FP32 (float)
2.491 TFLOPS
67.31 GFLOPS
FP64 (double)
103.8 GFLOPS
Graphics Processor
GK104
GPU Name
GK104
N14E-Q5-A2
GPU Variant
-
Kepler
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
3.54 billion
Transistors
3.54 billion
294 mm²
Die Size
294 mm²
Board Design
100W
TDP
100W
-
Suggested PSU
300 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 6-pin
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.1
3.0
CUDA
3.0
5.1
Shader Model
5.1
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