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NVIDIA QUADRO RTX 6000
and participate in our Data Science Workstation Demo Program
Accelerate your data science workflows by with an NVIDIA-Powered Mobile Data Science Workstation solution. NVIDIA RTX GPUs provide up to 16 GB of ultra-fast local memory to speed up deep-learning, AI, and compute-intensive workloads by up to 100x as compared to CPU based solutions with moderate size datasets.
The NVIDIA Data Science Workstation comes with an RTX5000 GPU which packs 16GB vRAM, 3072 CUDA Cores and 384 Tensor Cores. It is pre-loaded with NVIDIA Data Science Stack Software to get you started within minutes by removing complex software setup processes. NVIDIA Data Science Stack includes NVIDIA drivers, CUDA-X and 200+ common GPU-optimized frameworks and SDKs used by data scientists, data engineers and ML engineers. Frameworks and SDKs include GPU optimized TensorFlow, PyTorch, NVIDIA open source RAPIDS (GPU Optimized equivalent libraries to Pandas, Scikit-Learn, Graph analytics, etc.), XGBoost, etc. — all hosted on the Ubuntu 20.04 operating system.