Supercomputers

The NVIDIA Quadro RTX 5000 is a high-performance professional graphics card designed for demanding design, visualization, and AI workloads. Built on the NVIDIA Turing architecture, it features 3,072 CUDA cores, 384 Tensor cores, and 48 RT cores, enabling real-time ray tracing and AI-accelerated workflows. With 16 GB of GDDR6 memory on a 256-bit interface, it offers a memory bandwidth of up to 448 GB/s. The card supports up to four 5K displays via four DisplayPort 1.4 outputs and includes a VirtualLink port for next-generation VR headsets.

The NVIDIA Quadro RTX 3000 is a professional-grade graphics card designed for high-performance mobile and embedded computing applications. Built on the NVIDIA Turing architecture, it features 2,304 CUDA cores, 36 RT cores, and 288 Tensor cores, delivering up to 6.4 TFLOPS of single-precision performance. Equipped with 6 GB of GDDR6 memory on a 192-bit interface, it offers a memory bandwidth of 336 GB/s. The card supports up to four DisplayPort 1.4 outputs and operates with a configurable TGP ranging from 60 to 80 W. Its MXM 3.1 Type B form factor makes it suitable for integration into compact systems.

The NVIDIA Quadro T1000 is a professional-grade graphics card built on the Turing architecture, featuring 896 CUDA cores and available with either 4 GB or 8 GB of GDDR6 memory on a 128-bit interface, delivering a memory bandwidth of up to 160 GB/s. With a peak single-precision (FP32) performance of 2.5 TFLOPS, it supports up to four 5K displays via four mini DisplayPort 1.4 outputs. The card operates with a maximum power consumption of 50 W, utilizes a PCI Express 3.0 x16 interface, and comes in a low-profile, single-slot form factor with active cooling, making it ideal for compact professional workstations.

The NVIDIA RTX PRO 6000 Blackwell Workstation Edition is a state-of-the-art professional graphics card designed to meet the demands of AI development, large-scale simulations, and high-end content creation. Built on the innovative NVIDIA Blackwell architecture, this GPU boasts an impressive 24,064 CUDA cores, 752 fifth-generation Tensor cores, and 188 fourth-generation RT cores, delivering exceptional performance for complex workloads .

The NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition is a high-performance professional graphics card designed for compact workstations requiring substantial computational power within a constrained thermal envelope. Leveraging the NVIDIA Blackwell architecture, this GPU delivers exceptional performance for AI, 3D rendering, and scientific computing applications.

The NVIDIA RTX PRO 5000 Blackwell is a professional-grade graphics card designed for demanding AI, simulation, and visualization workloads. Built on the NVIDIA Blackwell architecture, it offers a significant performance boost over its predecessors.

The NVIDIA RTX PRO 4500 Blackwell is a professional-grade graphics card designed for demanding AI, simulation, and visualization workloads. Built on the NVIDIA Blackwell architecture, it offers a significant performance boost over its predecessors.

The NVIDIA RTX PRO 4000 Blackwell is a high-performance workstation graphics card built on the Blackwell architecture. It is designed for demanding professional workloads such as AI development, simulation, 3D modeling, and high-end visualization. Featuring 8,960 CUDA cores and 280 Tensor Cores, the RTX PRO 4000 provides exceptional parallel processing power for deep learning tasks and rendering. With 24 GB of GDDR7 ECC memory and a 192-bit memory interface, it ensures rapid data handling for large-scale projects.

The NVIDIA RTX PRO 6000 Blackwell Server Edition is engineered for high-performance AI and visual computing in data centers. Built on the advanced NVIDIA Blackwell architecture, it features 24,064 CUDA cores, 752 5th-generation Tensor Cores, and 188 4th-generation RT Cores. Equipped with 96 GB of GDDR7 memory with ECC, it offers exceptional memory bandwidth of up to 1.6 TB/s. The GPU supports PCIe Gen 5 x16 interface, enabling rapid data transfer. Its power consumption ranges from 400W to 600W, configurable based on workload requirements.

The NVIDIA H200 SXM Tensor Core GPU is engineered to accelerate generative AI and high-performance computing (HPC) workloads. Built on the NVIDIA Hopper™ architecture, it features 141 GB of HBM3e memory with a memory bandwidth of 4.8 TB/s, making it the first GPU to offer such high-capacity memory. This substantial memory capacity and bandwidth enable the handling of large-scale AI models and complex HPC simulations with improved efficiency.