NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Tesla T10 Processor
We compared two Professional market GPUs: 16GB VRAM RTX 4000 SFF Ada Generation and 4GB VRAM Tesla T10 Processor to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 9 years and 7 months late
Boost Clock1746MHz
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (1.02TB/s vs 102.4GB/s)
3600 additional rendering cores
NVIDIA Tesla T10 Processor 's Advantages
Lower TDP (188W vs 300W)
Score
Benchmark
FP32 (float)
RTX 4000 SFF Ada Generation
+2055%
13.41 TFLOPS
Tesla T10 Processor
0.622 TFLOPS
OctaneBench
RTX 4000 SFF Ada Generation
+135%
443
Tesla T10 Processor
188
Graphics Card
Nov 2018
Release Date
Apr 2009
Radeon Instinct
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1200 MHz
Base Clock
-
1746 MHz
Boost Clock
-
1000 MHz
Memory Clock
800 MHz
Memory
16GB
Memory Size
4GB
HBM2
Memory Type
GDDR3
4096bit
Memory Bus
512bit
1.02TB/s
Bandwidth
102.4GB/s
Render Config
60
Compute Units
-
48
SM Count
30
3840
Shading Units
240
240
TMUs
80
64
ROPs
32
192
Tensor Cores
-
48
RT Cores
-
16 KB (per CU)
L1 Cache
-
4 MB
L2 Cache
256 KB
-
-
-
Theoretical Performance
111.7 GPixel/s
Pixel Rate
19.52 GPixel/s
419.0 GTexel/s
Texture Rate
48.80 GTexel/s
26.82 TFLOPS
FP16 (half)
-
13.41 TFLOPS
FP32 (float)
622.1 GFLOPS
6.705 TFLOPS
FP64 (double)
77.76 GFLOPS
Board Design
300W
TDP
188W
700 W
Suggested PSU
450 W
1x mini-DisplayPort 1.4a
Outputs
No outputs
2x 8-pin
Power Connectors
-
Graphics Processor
Vega 20
GPU Name
GT200B
Vega 20 GLXT
GPU Variant
-
GCN 5.1
Architecture
Tesla 2.0
TSMC
Foundry
TSMC
7 nm
Process Size
55 nm
13.23 billion
Transistors
1.4 billion
331 mm²
Die Size
470 mm²
Graphics Features
12 (12_1)
DirectX
11.1 (10_0)
4.6
OpenGL
3.3
2.1
OpenCL
1.1
1.3
Vulkan
N/A
8.9
CUDA
1.3
6.7
Shader Model
4.0
