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GPU Comparison
NVIDIA Tesla V100 FHHL vs NVIDIA GRID K500
NVIDIA Tesla V100 FHHL vs NVIDIA GRID K500
VS
NVIDIA Tesla V100 FHHL
NVIDIA GRID K500
We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 4GB VRAM GRID K500 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla V100 FHHL 's Advantages
Released 3 years and 8 months late
Boost Clock1290MHz
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (829.4GB/s vs 160.0GB/s)
3584 additional rendering cores
NVIDIA GRID K500 's Advantages
Lower TDP (225W vs 250W)
Score
Benchmark
FP32 (float)
Tesla V100 FHHL
+477%
13.21 TFLOPS
GRID K500
2.289 TFLOPS
Tesla V100 FHHL
VS
GRID K500
Graphics Card
Mar 2018
Release Date
Jul 2014
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
937 MHz
Base Clock
-
1290 MHz
Boost Clock
-
810 MHz
Memory Clock
1250 MHz
Memory
16GB
Memory Size
4GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
256bit
829.4GB/s
Bandwidth
160.0GB/s
Render Config
80
SM Count
-
-
Compute Units
-
5120
Shading Units
1536
320
TMUs
128
128
ROPs
32
640
Tensor Cores
-
-
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
6 MB
L2 Cache
512 KB
Theoretical Performance
165.1 GPixel/s
Pixel Rate
23.84 GPixel/s
412.8 GTexel/s
Texture Rate
95.36 GTexel/s
26.42 TFLOPS
FP16 (half)
-
13.21 TFLOPS
FP32 (float)
2.289 TFLOPS
6.605 TFLOPS
FP64 (double)
95.36 GFLOPS
Graphics Processor
GV100
GPU Name
GK104
-
GPU Variant
-
Volta
Architecture
Kepler
TSMC
Foundry
TSMC
12 nm
Process Size
28 nm
21.1 billion
Transistors
3.54 billion
815 mm²
Die Size
294 mm²
Board Design
250W
TDP
225W
600 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
-
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
7.0
CUDA
3.0
6.6
Shader Model
5.1
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