GPU Quadro Server, Quadro RTX Rental Pricing

Nvidia Quadro series is positioned in the field of professional drawing workstations. The core of most Quadro products is essentially the same as GeForce, which is positioned in the personal field. But compared with GeForce, Quadro emphasizes compatibility, stability, and efficiency with industry software. Its driver program has the corresponding optimization for industry software and programming interface. Almost all Quadro FX series have passed the AutoCAD certification, which can fully support anti-aliasing in wireframe mode, integrate a hardware engine specially designed for AutoCAD smooth lines, and integrate efficient Gooch shaders. Quadro FX also has UMA technology, high-speed hardware interactive operation, double-sided lighting, and 3D dynamic sectioning technology. Generally speaking, the price of Quadro is higher than GeForce, so some customers have soft-modified GeForce graphics cards. Using the modified driver, they can get a cheap and equivalent Quadro graphics card.

Nvidia Quadro series is used to run professional computer-aided design (CAD), computer-generated images (CGI), digital content creation (DCC) applications, scientific computing, and machine learning.

Quadro is sufficient for use with AutoCAD. Many applications in CAD have specific optimizations for Quadro drivers, and the performance is much better than that of any GeForce GPU. Nvidia Quadro server price start from $52/m.

1. CUDA core based on NVIDIA Ampere architecture: new CUDA ® The core can provide single-precision floating-point (FP32) performance twice as high as that of the previous generation core, effectively accelerating the graphics workflow.
2. The second generation RT Core: With the ray tracing performance twice as high as that of the previous generation core and hardware accelerated dynamic blur technology, it can produce more accurate rendering results with faster visual effects.
3. The third generation Tensor Core: Accelerate the completion of AI and data science model training by using the training performance five times higher than that of the previous generation core and bring AI noise reduction, DLSS, and other advanced functions to the graphics workflow.
4. 16GB GPU video memory: drive graphics and compute-intensive workflows with 16GB GDDR6 video memory with ECC (twice the capacity of the previous generation).
5. Single-slot outline specification: adopt energy-saving and efficient single slot outline specification, which can be loaded into various workstation chassis.
6. PCI Express Generation 4: Improve the data transfer speed of CPU memory when performing data-intensive tasks by supporting PCI Express Generation 4.

1. CUDA core based on NVIDIA Ampere architecture: The new CUDA core can provide single precision floating point (FP32) performance twice as high as that of the previous generation core, effectively accelerating the graphics workflow.
2. The second generation RT Core: With the ray tracing performance twice as high as that of the previous generation core and hardware accelerated dynamic blur technology, it can produce more accurate rendering results with faster visual effects.
3. The third generation Tensor Core: Accelerate the completion of AI and data science model training by using the training performance five times higher than that of the previous generation core and bring AI noise reduction, DLSS, and other advanced functions to the graphics workflow.
4. 24 GB GPU video memory: 24 GB GDDR6 video memory with ECC is used to process video memory intensive workloads from virtual production to engineering simulation.
5. Virtualization ready: change the personal workstation to multiple high-performance virtual workstations supporting NVIDIA RTX virtual workstation (vWS) software.
6. The third generation NVIDIA NVLink: With NVIDIA NVLink ™ Expand video memory and performance across multiple GPUs to handle larger datasets, models, and scenarios.
7. PCI Express Generation 4: Support PCI Express Generation 4 to improve the data transmission speed of CPU memory when performing data-intensive tasks.
8. Energy efficiency: The dual slot, energy-efficient design is adopted, which can improve energy efficiency by twice compared with the previous generation, and can be installed in various workstations through careful design.

Dedicated GPU Quadro server rental provides users with the flexibility to adjust the resources they use based on their needs. They can scale up or down the CPU, memory, and storage resources as required, ensuring that they only pay for what they use. This makes dedicated GPU Quadro server rental an ideal solution for users who need powerful GPU resources on an as-needed basis, without being tied to a long-term commitment.