Brand New NVIDIA GeForce 4090 GPU/4K/Memoria gráfica gddr6x de 48 GB - Sell Dell/Xfusion/Huawei server,From China.

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Brand New NVIDIA GeForce 4090 GPU/4K/Memoria gráfica gddr6x de 48 GB

To understand the power of 4090 48G, let's first look at a few key numbers: - Video Memory Capacity: 48GB GDDR6X (doubling the 24GB of a regular 4090) -Video memory bandwidth: 1072 GB/s (theoretical peak, comparable to small server memory bus) -CUDA Core Count: 16384 (almost 5 times more than a typical graphics card) -Number of Tensor Cores: 512, specifically designed to accelerate AI inference and generation tasks -Power consumption limit: 450W (requires at least 850W high-quality power supply) -Size specifications: Dual slot/dual width turbo cooling design, approximately 33cm in length, installation requires attention to chassis space. To put it simply, a regular 4090 graphics card is like a top tier sports car that can easily sprint on the F1…

  • Product Details

To understand the power of 4090 48G, let’s first look at a few key numbers: – Video Memory Capacity: 48GB GDDR6X (doubling the 24GB of a regular 4090)
-Video memory bandwidth: 1072 GB/s (theoretical peak, comparable to small server memory bus)
-CUDA Core Count: 16384 (almost 5 times more than a typical graphics card)
-Number of Tensor Cores: 512, specifically designed to accelerate AI inference and generation tasks
-Power consumption limit: 450W (requires at least 850W high-quality power supply)
-Size specifications: Dual slot/dual width turbo cooling design, approximately 33cm in length, installation requires attention to chassis space.

To put it simply, a regular 4090 graphics card is like a top tier sports car that can easily sprint on the F1 track; The 48G version is like an aircraft carrier equipped with rocket engines, not only capable of racing, but also able to carry an entire fleet to carry out transoceanic expeditions. You can simultaneously run multiple large LLM models (such as Llama3-70B), render 4K real-time ray tracing animations, and even run an entire city level digital twin system in one workstation.

Suitable for:
-AI researchers and deep learning engineers (training large models, fine-tuning multi billion parameter models)
-Movie special effects team and 3D animation studio (rendering a Avengers level film only takes a few hours)
-Architectural/Automotive Industry Designer (runs complex CAD/CAE simulations, one-time)
-Research institutes, university laboratories (conducting climate simulations, gene analysis, particle physics calculations)

❌ Not very suitable for the following population:
-Ordinary gamers (even when playing Cyberpunk 2077, the highest graphics quality cannot overpower this machine)
-Users with limited budgets (with prices often approaching 20000 yuan and high electricity bills)
-Ordinary office or home audio and video use (purely for “killing chickens with knives”)

Special reminder: Although it is called “enterprise level”, it is not exclusively for enterprise procurement. The so-called “enterprise grade graphics cards” on the market usually refer to products that have passed strict certification and provide long-term technical support. Although the 4090 48G version has high reliability, it is still mainly for retail and does not promise 5-year after-sales service. When purchasing, it is necessary to confirm the merchant’s qualifications and genuine product guarantee.

Precautions for selection and use
1. Power requirements: A certified power supply of ≥ 850W gold medal or above must be used, and it must have at least two 8-pin power supply interfaces (some models require external 12VHPWR power supply).
2. Chassis space: If the length exceeds 33cm, it is recommended to choose a chassis above the ATX tower, with sufficient front heat dissipation holes to avoid overheating and frequency reduction.
3. Cooling system: The dual width design of the turbine means that the air ducts are concentrated, and good airflow should be maintained inside the chassis to avoid “close contact” with other hardware.
4. Drivers and compatibility: It is recommended to use NVIDIA official drivers, paired with CUDA 12. x and above versions, to ensure optimal performance release.

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