Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs AMD Instinct MI300X

NVIDIA Tesla V100 SXM2 16 GB vs AMD Instinct MI300X

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB 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 SXM2 16 GB 's Advantages
Lower TDP (250W vs 750W)
AMD Instinct MI300X 's Advantages
Released 4 years and 1 months late
Boost Clock has increased by 31% (2100MHz vs 1597MHz)
More VRAM (192GB vs 16GB)
Larger VRAM bandwidth (5300GB/s vs 1133GB/s)
14336 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB
16.35 TFLOPS
AMD Instinct MI300X +899%
163.4 TFLOPS
VS

Graphics Card

Nov 2019
Release Date
Dec 2023
Tesla
Generation
Instinct
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

1245 MHz
Base Clock
1000 MHz
1597 MHz
Boost Clock
2100 MHz
1106 MHz
Memory Clock
5200 MHz

Memory

16GB
Memory Size
192GB
HBM2
Memory Type
HBM3
4096bit
Memory Bus
8192bit
1133GB/s
Bandwidth
5300GB/s

Render Config

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

Theoretical Performance

204.4 GPixel/s
Pixel Rate
0 MPixel/s
511.0 GTexel/s
Texture Rate
1496 GTexel/s
32.71 TFLOPS
FP16 (half)
1300 TFLOPS
16.35 TFLOPS
FP32 (float)
163.4 TFLOPS
8.177 TFLOPS
FP64 (double)
81.7 TFLOPS

Graphics Processor

GV100
GPU Name
MI300
-
GPU Variant
-
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

Board Design

250W
TDP
750W
600 W
Suggested PSU
1000 W
No outputs
Outputs
No outputs
None
Power Connectors
None

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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