Home GPU Comparison NVIDIA Tesla V100 FHHL vs AMD Instinct MI300X

NVIDIA Tesla V100 FHHL vs AMD Instinct MI300X

NVIDIA Tesla V100 FHHL
VS
AMD Instinct MI300X
NVIDIA Tesla V100 FHHL
AMD Instinct MI300X
We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 192GB VRAM AMD Instinct MI300X to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages
Lower TDP (250W vs 750W)
AMD Instinct MI300X 's Advantages
Released 5 years and 9 months late
Boost Clock has increased by 63% (2100MHz vs 1290MHz)
More VRAM (192GB vs 16GB)
Larger VRAM bandwidth (5300GB/s vs 829.4GB/s)
14336 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla V100 FHHL
13.21 TFLOPS
AMD Instinct MI300X +1136%
163.4 TFLOPS
Tesla V100 FHHL
VS
AMD Instinct MI300X

Graphics Card

Mar 2018
Release Date
Dec 2023
Tesla
Generation
Instinct
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

937 MHz
Base Clock
1000 MHz
1290 MHz
Boost Clock
2100 MHz
810 MHz
Memory Clock
5200 MHz

Memory

16GB
Memory Size
192GB
HBM2
Memory Type
HBM3
4096bit
Memory Bus
8192bit
829.4GB/s
Bandwidth
5300GB/s

Render Config

-
Compute Units
304
80
SM Count
-
5120
Shading Units
19456
320
TMUs
880
128
ROPs
0
640
Tensor Cores
-
-
-
-
128 KB (per SM)
L1 Cache
16 KB (per CU)
6 MB
L2 Cache
16 MB
-
-
-

Theoretical Performance

165.1 GPixel/s
Pixel Rate
0 MPixel/s
412.8 GTexel/s
Texture Rate
1496 GTexel/s
26.42 TFLOPS
FP16 (half)
1300 TFLOPS
13.21 TFLOPS
FP32 (float)
163.4 TFLOPS
6.605 TFLOPS
FP64 (double)
81.7 TFLOPS

Board Design

250W
TDP
750W
600 W
Suggested PSU
1000 W
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
None

Graphics Processor

GV100
GPU Name
MI300
-
-
-
Volta
Architecture
CDNA 3.0
TSMC
Foundry
TSMC
12 nm
Process Size
5 nm
21.1 billion
Transistors
146 billion
815 mm²
Die Size
1017 mm²

Graphics Features

12 (12_1)
DirectX
N/A
4.6
OpenGL
N/A
3.0
OpenCL
3.0
1.3
Vulkan
N/A
7.0
CUDA
-
6.6
Shader Model
N/A

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