Home GPU Comparison NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro FX 2800M

NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA Quadro FX 2800M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 DGXS 16 GB and 1024MB VRAM Quadro FX 2800M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages
Released 8 years and 3 months late
Boost Clock1530MHz
More VRAM (16GB vs 1024GB)
Larger VRAM bandwidth (897.0GB/s vs 64.00GB/s)
5024 additional rendering cores
NVIDIA Quadro FX 2800M 's Advantages
Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 DGXS 16 GB +5340%
15.67 TFLOPS
Quadro FX 2800M
0.288 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
Dec 2009
Tesla
Generation
Quadro FX Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
MXM-B (3.0)

Clock Speeds

1327 MHz
Base Clock
-
1530 MHz
Boost Clock
-
876 MHz
Memory Clock
1000 MHz

Memory

16GB
Memory Size
1024MB
HBM2
Memory Type
GDDR3
4096bit
Memory Bus
256bit
897.0GB/s
Bandwidth
64.00GB/s

Render Config

-
-
-
80
SM Count
12
5120
Shading Units
96
320
TMUs
48
128
ROPs
16
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
-
6 MB
L2 Cache
64 KB
-
-
-

Theoretical Performance

195.8 GPixel/s
Pixel Rate
9.600 GPixel/s
489.6 GTexel/s
Texture Rate
28.80 GTexel/s
31.33 TFLOPS
FP16 (half)
-
15.67 TFLOPS
FP32 (float)
288.0 GFLOPS
7.834 TFLOPS
FP64 (double)
-

Board Design

250W
TDP
75W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GV100
GPU Name
G92
-
GPU Variant
N10E-GLM
Volta
Architecture
Tesla
TSMC
Foundry
TSMC
12 nm
Process Size
65 nm
21.1 billion
Transistors
0.754 billion
815 mm²
Die Size
324 mm²

Graphics Features

12 (12_1)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1
1.3
Vulkan
N/A
7.0
CUDA
1.1
6.6
Shader Model
4.0

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