Home GPU Comparison NVIDIA GRID K240Q vs NVIDIA Tesla V100 FHHL

NVIDIA GRID K240Q vs NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 1024MB VRAM GRID K240Q and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K240Q 's Advantages
Lower TDP (225W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
Released 4 years and 9 months late
Boost Clock1290MHz
More VRAM (16GB vs 1024GB)
Larger VRAM bandwidth (829.4GB/s vs 160.0GB/s)
3584 additional rendering cores

Score

Benchmark

FP32 (float)
GRID K240Q
2.289 TFLOPS
Tesla V100 FHHL +477%
13.21 TFLOPS
VS

Graphics Card

Jun 2013
Release Date
Mar 2018
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
937 MHz
-
Boost Clock
1290 MHz
1250 MHz
Memory Clock
810 MHz

Memory

1024MB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
160.0GB/s
Bandwidth
829.4GB/s

Render Config

-
-
-
-
SM Count
80
1536
Shading Units
5120
128
TMUs
320
32
ROPs
128
-
Tensor Cores
640
-
-
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
6 MB
-
-
-

Theoretical Performance

23.84 GPixel/s
Pixel Rate
165.1 GPixel/s
95.36 GTexel/s
Texture Rate
412.8 GTexel/s
-
FP16 (half)
26.42 TFLOPS
2.289 TFLOPS
FP32 (float)
13.21 TFLOPS
95.36 GFLOPS
FP64 (double)
6.605 TFLOPS

Board Design

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

Graphics Processor

GK104
GPU Name
GV100
-
-
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
3.54 billion
Transistors
21.1 billion
294 mm²
Die Size
815 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
7.0
5.1
Shader Model
6.6

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