Nanotech Powered AI Deep Learning Workstation PC: AMD Ryzen Threadripper 7970X 4GHz STR5 32 Cores & 64 Threads, Nvidia 4090 24GB GDDR6, 128 GB RAM 4800Mzh DDR5 (64 GBx2), 2TB 990 PRO, 1300W Platinum, WiFi+BT With AIO CPU Liquid cooler

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SKU : Ntech-4090-7970X-12371

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Nanotech Powered AI Deep Learning Workstation PC: AMD Ryzen Threadripper 7970X 4GHz STR5 32 Cores & 64 Threads, Nvidia 4090 24GB GDDR6, 64 GB RAM 4800Mzh DDR5, 2TB 990 PRO, 1300W Platinum, WiFi+BT With AIO CPU Liquid cooler

Component Specification
Processor AMD Ryzen Threadripper 7970X Processor
Cores: 32
Threads: 64
Cache: 32MB
Max Boost Clock: Up to 5.3GHz
Socket: sTR5
Unlocked for Overclocking
Motherboard Asus Pro WS TRX50-SAGE WIFI AMD sTR5 CEB Workstation Motherboard
Chipset: AMD TRX50
Memory Kingston KSM48R40BD4TMM-64HMR 64GB DDR5 ECC Desktop Memory x2
Graphics Card ASUS TUF Gaming GeForce RTX 4090 OC Edition
VRAM: 24GB GDDR6X
Storage Samsung 990 PRO PCIe 4.0 NVMe M.2 SSD
Capacity: 2TB
CPU Cooler ASUS ROG Ryuo III 360 AIO Liquid CPU Cooler
Features 8th Gen Asetek Pump technology
Power Supply Silverstone HELA 1300R Platinum Cybernetics Platinum 1300W ATX 3.0 & PCIe 5.0 Fully Modular ATX Power Supply
Chassis Lian Li Lancool III Mesh RGB E-ATX Mid Tower Modular Chassis
Expansion Slots: 8
Panel: Tempered Glass
Internal USB Hub NZXT Internal USB Hub (Gen 3)
Internal USB 2.0 Expansion Hub
Operating System Microsoft Windows Pro 11 64Bit OEM DVD, English International

 

The Nanotech Powered AI Deep Learning Workstation PC is a true monster designed for handling the most demanding computational tasks, especially those involving artificial intelligence and deep learning.

Here's a breakdown of its key features:

Unmatched Processing Power:

Processor: AMD Ryzen Threadripper 7970X with 32 cores and 64 threads - An absolute powerhouse CPU ideal for complex workloads like AI model training, scientific computing, and 3D rendering.
Graphics Card: Nvidia RTX 4090 24GB GDDR6 - The top-of-the-line graphics card, perfect for tasks requiring strong GPU acceleration like deep learning and high-resolution video editing.

Exceptional Memory and Storage:

64GB DDR5 RAM 4800MHz: Ample memory for handling massive datasets and complex calculations smoothly.
2TB Samsung 990 PRO PCIe 4.0 NVMe SSD: Blazing-fast storage for applications, datasets, and files.

Premium Cooling and Power Delivery:

360mm AIO Liquid CPU Cooler (ASUS ROG Ryuo III): Ensures optimal CPU temperatures even under extreme loads.
1300W Platinum Power Supply (Silverstone HELA 1300R): Delivers clean and reliable power for the high-performance components.

Spacious and Customizable Design:

Lian Li Lancool III Mesh RGB E-ATX Mid Tower Case: Provides excellent airflow and ample space for future upgrades with its modular design. The tempered glass side panel showcases the powerful components.

Internal USB Hub: Offers additional USB ports for connecting peripherals.

Additional Considerations:

Price: This PC packs the highest-end components, likely resulting in a very high price tag. It caters to professionals and researchers who require the absolute best performance for demanding tasks.
Noise Levels: High-performance components like the CPU and graphics card can generate significant noise under heavy workloads. Consider a well-ventilated workspace or noise-cancelling headphones.
Operating System: While Windows 11 Pro is included, some users in the AI/Deep Learning space might prefer Linux for specific workflows.
Overall, the Nanotech Powered AI Deep Learning Workstation PC is a top-of-the-line system for professionals and researchers who need the ultimate processing power for demanding computational tasks. It boasts exceptional processing power, a powerful graphics card, ample memory and storage, and a premium cooling system.

Here are some additional thoughts:

Check online reviews for the specific components to get a better understanding of their performance, noise levels, and user experiences in AI/Deep Learning workloads.
Consider your specific workflow and software requirements. Some deep learning frameworks might have better compatibility with Linux compared to Windows.
This PC offers a great foundation, but depending on your specific needs, you might want to consider additional components like high-performance network adapters or specialized storage solutions.

Specification

Nanotech Powered AI Deep Learning Workstation PC: AMD Ryzen Threadripper 7970X 4GHz STR5 32 Cores & 64 Threads, Nvidia 4090 24GB GDDR6, 64 GB RAM 4800Mzh DDR5, 2TB 990 PRO, 1300W Platinum, WiFi+BT With AIO CPU Liquid cooler

Component Specification
Processor AMD Ryzen Threadripper 7970X Processor
Cores: 32
Threads: 64
Cache: 32MB
Max Boost Clock: Up to 5.3GHz
Socket: sTR5
Unlocked for Overclocking
Motherboard Asus Pro WS TRX50-SAGE WIFI AMD sTR5 CEB Workstation Motherboard
Chipset: AMD TRX50
Memory Kingston KSM48R40BD4TMM-64HMR 64GB DDR5 ECC Desktop Memory x2
Graphics Card ASUS TUF Gaming GeForce RTX 4090 OC Edition
VRAM: 24GB GDDR6X
Storage Samsung 990 PRO PCIe 4.0 NVMe M.2 SSD
Capacity: 2TB
CPU Cooler ASUS ROG Ryuo III 360 AIO Liquid CPU Cooler
Features 8th Gen Asetek Pump technology
Power Supply Silverstone HELA 1300R Platinum Cybernetics Platinum 1300W ATX 3.0 & PCIe 5.0 Fully Modular ATX Power Supply
Chassis Lian Li Lancool III Mesh RGB E-ATX Mid Tower Modular Chassis
Expansion Slots: 8
Panel: Tempered Glass
Internal USB Hub NZXT Internal USB Hub (Gen 3)
Internal USB 2.0 Expansion Hub
Operating System Microsoft Windows Pro 11 64Bit OEM DVD, English International

 

The Nanotech Powered AI Deep Learning Workstation PC is a true monster designed for handling the most demanding computational tasks, especially those involving artificial intelligence and deep learning.

Here's a breakdown of its key features:

Unmatched Processing Power:

Processor: AMD Ryzen Threadripper 7970X with 32 cores and 64 threads - An absolute powerhouse CPU ideal for complex workloads like AI model training, scientific computing, and 3D rendering.
Graphics Card: Nvidia RTX 4090 24GB GDDR6 - The top-of-the-line graphics card, perfect for tasks requiring strong GPU acceleration like deep learning and high-resolution video editing.

Exceptional Memory and Storage:

64GB DDR5 RAM 4800MHz: Ample memory for handling massive datasets and complex calculations smoothly.
2TB Samsung 990 PRO PCIe 4.0 NVMe SSD: Blazing-fast storage for applications, datasets, and files.

Premium Cooling and Power Delivery:

360mm AIO Liquid CPU Cooler (ASUS ROG Ryuo III): Ensures optimal CPU temperatures even under extreme loads.
1300W Platinum Power Supply (Silverstone HELA 1300R): Delivers clean and reliable power for the high-performance components.

Spacious and Customizable Design:

Lian Li Lancool III Mesh RGB E-ATX Mid Tower Case: Provides excellent airflow and ample space for future upgrades with its modular design. The tempered glass side panel showcases the powerful components.

Internal USB Hub: Offers additional USB ports for connecting peripherals.

Additional Considerations:

Price: This PC packs the highest-end components, likely resulting in a very high price tag. It caters to professionals and researchers who require the absolute best performance for demanding tasks.
Noise Levels: High-performance components like the CPU and graphics card can generate significant noise under heavy workloads. Consider a well-ventilated workspace or noise-cancelling headphones.
Operating System: While Windows 11 Pro is included, some users in the AI/Deep Learning space might prefer Linux for specific workflows.
Overall, the Nanotech Powered AI Deep Learning Workstation PC is a top-of-the-line system for professionals and researchers who need the ultimate processing power for demanding computational tasks. It boasts exceptional processing power, a powerful graphics card, ample memory and storage, and a premium cooling system.

Here are some additional thoughts:

Check online reviews for the specific components to get a better understanding of their performance, noise levels, and user experiences in AI/Deep Learning workloads.
Consider your specific workflow and software requirements. Some deep learning frameworks might have better compatibility with Linux compared to Windows.
This PC offers a great foundation, but depending on your specific needs, you might want to consider additional components like high-performance network adapters or specialized storage solutions.

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