Best 2023 setup for Machine learning
If you are learning machine learning then you need a good computer system in your budget to start.
What is the thing we should know before buying a good hardware and software combination for machine learning?
A powerful processor and fast computing system.
Cpu
Which type of cpu is good for machine learning?
First we will see which cpus are good and suitable for machine learning, thera are many cpus of different brands available in the market and it is confusing to choose one which is best for machile learning.
So, I will help you in choosing better cpus for machine and programming.
1. Intel core i9-13900k
Features
The features of Intel core i9-13900ks are:-
Brand - Intel
CPU Model Core - i9
CPU Speed - 2.2 GHz
CPU Socket - LGA 1700
Platform - Mac OS X El Capitan 10.11, Windows 11, Windows 10
Secondary Cache - 32 MB
Wattage - 253 Watts
Cache Size - 36
Processor Count - 1
Product Dimensions - 33.7L x 18.5W Centimeters
Processor Socket - LGA 1700
Graphics Card Description - Graphics Base Frequency : 300 MHz
Compatible Devices - Desktop
Item Weight - 372 g
2. Intel core i7-13700k
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Features
The features of Intel core i7-13700k are:-
Brand - Intel
CPU Speed - 2.5 GHz
CPU Socket - LGA 1700
Platform - Mac OS X El Capitan 10.11, Windows 11, Windows 10
Secondary Cache - 24 MB
Wattage - 253 Watts
Cache Size - 30
Processor Count - 1
Product Dimensions - 23.3L x 11.8W Centimeters
Series - Raptor lake
Processor Socket - LGA 1700
Item Weight - 90.7 g
3. AMD 3rd Gen RYZEN 9 3900x
Get 24% discount
Features
Brand - AMD
CPU Speed - 3.8 GHz
CPU Socket - Socket AM4
Platform - Xbox
Secondary Cache - 4.6 MB
Wattage - 105 Watts
Cache Size - 64
Processor Count - 12
Product Dimensions - 40L x 40W Millimeters
Memory Storage Capacity - 70 MB
Processor Socket - Socket AM4
Colour Screen - No
Batteries Required - No
Does it contain liquid? - No
Has Auto Focus - No
Supports Bluetooth Technology - No
Programmable Buttons - No
Item Weight - 45.3 g
4. AMD RYZEN 7 3800x
Get 35% discount
Features
Brand - AMD
CPU Speed - 4.5 GHz
CPU Socket - Socket AM4
Platform - Xbox
Secondary Cache - 4 MB
Wattage - 105 Watts
Cache Size - 32
Processor Count - 8
Product Dimensions - 4 x 4 x 0.6 cm; 635.03 Grams
Batteries - 1 Lithium Ion batteries required.
Ram Memory Technology - DDR4
Computer Memory Type - DDR5 SDRAM
Processor Socket Socket AM4
Compatible Processor Types - AMD 3rd Generation Ryzen
Colour Screen - No
Batteries Included - No
Batteries Required - No
Does it contain liquid? - No
Has Auto Focus - No
Includes Rechargeable Battery - No
Includes AC Adapter - No
Supports Bluetooth Technology - No
Programmable Buttons - No
Item Weight - 635 g
5. AMD threadripper 3990x
Features
Brand - AMD
CPU Speed - 4.3 GHz
Platform Windows - 10
Secondary Cache - 4 MB
Wattage - 280 Watts
Cache Size - 288
Processor Count - 64
Product Dimensions - 7.8L x 5.6W Centimeters
Computer Memory Type - DDR SDRAM
Memory Clock Speed - 3200 MHz
Graphics Card Interface - PCI Express
Voltage - 1 Volts
Item Weight - 885 g
Gpu
GPU is a important tech device for getting into machine learning. It is a device used for graphics rendering by its high computing power because of its computing power it can handle data better and fastly.
You need GPU to train machine learning models. You can train on billions of data of you have a powerful GPU.
Things you should check before buying GPU:-
If you are going to buy a GPU for Machine learning then you should check that it supports CUDA. CUDA supports machine learning libraries like tensorflow and pytorch.
You must check if your selected GPU has cuda supported.
1. Nvidia rtx 4090
Get 30% discount
Features
Graphics Coprocessor NVIDIA GEFORCE RTX 4090 X3 OC
Brand - INNO3D
Graphics RAM Size - 24 GB
GPU Clock Speed - 2235 MHz
Video Output Interface DisplayPort, HDMI
Graphics Processor Manufacturer - NVIDIA
Graphics RAM Type - GDDR6X
Compatible Devices - Desktop
Graphics Card Interface - PCI-Express x4
Memory Clock Speed - 2550
Item Dimensions LxWxH - 33.6 x 6 x 14.5 Centimeters
Product Dimensions - 33.6 x 6 x 14.5 cm; 2.1 Kilograms
Item Weight - 2 kg 100 g
2. Nvidia rtx 4080
Get 27% discount
Features
Graphics Coprocessor - GEFORCE RTX 4080 ICHILL X3
Brand - INNO3D
Graphics RAM Size - 16 GB
Video Output Interface - DisplayPort, HDMI
Graphics RAM Type - GDDR6X
Recommended Uses For Product Gaming
Included Components Graphic Card
Compatible Devices Desktop
Display Resolution - Maximum 7680 x 4320 Pixels
Graphics Card Interface g PCI-Express x16
Memory Clock Speed - 1.4 GHz
Item Dimensions - LxWxH 50 x 50 x 28 Centimeters
Item Height - 28 Centimeters
Item Width - 50 Centimeters
Product Dimensions - 50 x 50 x 28 cm; 2.17 Kilograms
Item Weight - 2 kg 170 g
3. Nvidia Tesla v100
Features
Brand - NvidiaCorporation
Graphics RAM Size - 32 GB
GPU Clock Speed - 1230 MHz
Graphics Processor Manufacturer - NVIDIA
Graphics RAM Type - GDDR5
Compatible Devices - Desktop
Graphics Card Interface - PCI Express
Product Dimensions - 30.5L x 15.2W Centimeters
Manufacturer Nvidia Corporation
Item Weight - 0.28 g
4. Nvidia Tesla a100
5. Nvidia rtx 4070
Get 35% discount
Features
Graphics Coprocessor - NVIDIA GEFORCE RTX 4070 Ti
Brand - INNO3D
Graphics RAM Size - 12 GB
GPU Clock Speed - 2310 MHz
Video Output Interface - DisplayPort, HDMI
Graphics Processor Manufacturer - NVIDIA
Graphics RAM Type GDDR6X
Recommended Uses For Product Gaming
Included Components Graphics Card
Compatible Devices Desktop
Display Resolution - Maximum 7680 x 4320 Pixels
Graphics Card Interface - PCI-Express x16
Memory Clock Speed - 2310 MHz
Product Dimensions -24L x 69W Centimeters
Manufacturer - INNO3D, INNO3D
Form Factor - Dual Slot
Item Weight - 1 kg 200 g
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