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GPU Comparison
NVIDIA GRID K240Q vs NVIDIA Tesla C870
NVIDIA GRID K240Q vs NVIDIA Tesla C870
VS
NVIDIA GRID K240Q
NVIDIA Tesla C870
We compared two Professional market GPUs: 1024MB VRAM GRID K240Q and 1536MB VRAM Tesla C870 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA GRID K240Q 's Advantages
Released 6 years and 1 months late
Larger VRAM bandwidth (160.0GB/s vs 76.80GB/s)
1408 additional rendering cores
NVIDIA Tesla C870 's Advantages
More VRAM (1536GB vs 1024GB)
Lower TDP (171W vs 225W)
Score
Benchmark
FP32 (float)
GRID K240Q
+561%
2.289 TFLOPS
Tesla C870
0.346 TFLOPS
GRID K240Q
VS
Tesla C870
Graphics Card
Jun 2013
Release Date
May 2007
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 1.0 x16
Clock Speeds
-
Base Clock
-
-
Boost Clock
-
1250 MHz
Memory Clock
800 MHz
Memory
1024MB
Memory Size
1536MB
GDDR5
Memory Type
GDDR3
256bit
Memory Bus
384bit
160.0GB/s
Bandwidth
76.80GB/s
Render Config
-
SM Count
16
-
Compute Units
-
1536
Shading Units
128
128
TMUs
32
32
ROPs
24
-
Tensor Cores
-
-
RT Cores
-
16 KB (per SMX)
L1 Cache
-
512 KB
L2 Cache
96 KB
Theoretical Performance
23.84 GPixel/s
Pixel Rate
14.40 GPixel/s
95.36 GTexel/s
Texture Rate
38.40 GTexel/s
-
FP16 (half)
-
2.289 TFLOPS
FP32 (float)
345.6 GFLOPS
95.36 GFLOPS
FP64 (double)
-
Graphics Processor
GK104
GPU Name
G80
-
GPU Variant
-
Kepler
Architecture
Tesla
TSMC
Foundry
TSMC
28 nm
Process Size
90 nm
3.54 billion
Transistors
0.681 billion
294 mm²
Die Size
484 mm²
Board Design
225W
TDP
171W
550 W
Suggested PSU
450 W
No outputs
Outputs
No outputs
-
Power Connectors
2x 6-pin
Graphics Features
12 (11_0)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
3.0
OpenCL
1.1 (1.0)
1.1
Vulkan
N/A
3.0
CUDA
1.0
5.1
Shader Model
4.0
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7
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8
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9
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10
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