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