Home GPU Comparison NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Tesla K8

NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Tesla K8

We compared two Professional market GPUs: 20GB VRAM RTX 4000 SFF Ada Generation and 8GB VRAM Tesla K8 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 8 years and 6 months late
Boost Clock has increased by 92% (1560MHz vs 811MHz)
More VRAM (20GB vs 8GB)
Larger VRAM bandwidth (280.0GB/s vs 160.0GB/s)
4608 additional rendering cores
Lower TDP (70W vs 100W)

Score

Benchmark

FP32 (float)
RTX 4000 SFF Ada Generation +669%
19.17 TFLOPS
Tesla K8
2.491 TFLOPS
VS

Graphics Card

Mar 2023
Release Date
Sep 2014
Quadro Ada
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

720 MHz
Base Clock
693 MHz
1560 MHz
Boost Clock
811 MHz
1750 MHz
Memory Clock
1250 MHz

Memory

20GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5
160bit
Memory Bus
256bit
280.0GB/s
Bandwidth
160.0GB/s

Render Config

-
-
-
48
SM Count
-
6144
Shading Units
1536
192
TMUs
128
80
ROPs
32
192
Tensor Cores
-
48
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
48 MB
L2 Cache
512 KB
-
-
-

Theoretical Performance

124.8 GPixel/s
Pixel Rate
25.95 GPixel/s
299.5 GTexel/s
Texture Rate
103.8 GTexel/s
19.17 TFLOPS
FP16 (half)
-
19.17 TFLOPS
FP32 (float)
2.491 TFLOPS
299.5 GFLOPS
FP64 (double)
103.8 GFLOPS

Board Design

70W
TDP
100W
250 W
Suggested PSU
300 W
4x mini-DisplayPort 1.4a
Outputs
No outputs
None
Power Connectors
1x 6-pin

Graphics Processor

AD104
GPU Name
GK104
-
-
-
Ada Lovelace
Architecture
Kepler
TSMC
Foundry
TSMC
5 nm
Process Size
28 nm
35.8 billion
Transistors
3.54 billion
294 mm²
Die Size
294 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.9
CUDA
3.0
6.7
Shader Model
5.1

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