NVIDIA Tesla K40st vs NVIDIA GRID M6 8Q
We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 8GB VRAM GRID M6 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K40st 's Advantages
More VRAM (12GB vs 8GB)
Larger VRAM bandwidth (288.4GB/s vs 160.4GB/s)
1344 additional rendering cores
NVIDIA GRID M6 8Q 's Advantages
Released 1 years and 9 months late
Lower TDP (100W vs 245W)
Score
Benchmark
FP32 (float)
Tesla K40st
+49%
3.312 TFLOPS
GRID M6 8Q
2.218 TFLOPS
Graphics Card
Nov 2013
Release Date
Aug 2015
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
-
-
-
-
-
1502 MHz
Memory Clock
1253 MHz
Memory
12GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
256bit
288.4GB/s
Bandwidth
160.4GB/s
Render Config
-
-
-
-
-
-
2880
Shading Units
1536
240
TMUs
96
48
ROPs
64
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
48 KB (per SMM)
1536 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
34.50 GPixel/s
Pixel Rate
46.21 GPixel/s
138.0 GTexel/s
Texture Rate
69.31 GTexel/s
-
-
-
3.312 TFLOPS
FP32 (float)
2.218 TFLOPS
1104 GFLOPS
FP64 (double)
69.31 GFLOPS
Board Design
245W
TDP
100W
550 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
-
Power Connectors
None
Graphics Processor
GK110B
GPU Name
GM204
-
GPU Variant
GM204-995-A1
Kepler
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
7.08 billion
Transistors
5.2 billion
561 mm²
Die Size
398 mm²
Graphics Features
12 (11_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
5.2
5.1
Shader Model
6.4
