Home GPU Comparison NVIDIA Tesla V100 FHHL vs NVIDIA GRID K280Q

NVIDIA Tesla V100 FHHL vs NVIDIA GRID K280Q

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 4GB VRAM GRID K280Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages
Released 4 years and 9 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 K280Q 's Advantages
Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 FHHL +477%
13.21 TFLOPS
GRID K280Q
2.289 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
Jun 2013
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
-
5120
Shading Units
1536
320
TMUs
128
128
ROPs
32
640
Tensor 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

Board Design

250W
TDP
225W
600 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
-

Graphics Processor

GV100
GPU Name
GK104
-
-
-
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

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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