![]() In addition to GPUs, Google Cloud also lets you use tensor processing units (TPUs). You can use several GPUs, including NVIDIA K80, P4, P100, V100, A100, and T4. Google Cloud lets you use NVIDIA GRID technology to create virtual workstations for graphics-intensive workloads, including 3D rendering and 3D visualization, as well as virtual applications. Google Cloud GPUs can help accelerate certain workloads running on your instances, particularly data processing and machine learning. Google Cloud Compute Engine offers GPUs, which you can add to your VM instances. Google Cloud offers two main deep learning options - GPUs and TPUs. NV-series and NVv3-series VMs are powered by the NVIDIA Tesla M60 GPU. It is also ideal for VDI scenarios that employ frameworks like DirectX and OpenGL. The sizes of this series are specifically designed and optimized to enable and support remote visualization, gaming, streaming, and encoding. It provides eight A100 GPUs, each with 40 GB of memory, connected via 200 Gigabit InfiniBand MDR. The series is focused on scaling deep learning training as well as accelerating HPC applications. The NCv3-series - focused on high-performance computing (HPC) and AI workloads that feature NVIDIA Tesla V100 GPU.The NC T4 v3-series - focused on inference workloads that feature NVIDIA Tesla T4 GPU as well as the AMD EPYC2 Rome processor.Here are the main differences between these series: For example, OpenCL and CUDA-based simulations, deep learning and AI. Here are several options:īoth series are optimized especially for compute-intensive GPU-accelerated applications. These sizes are designed especially for graphics and compute-intensive workloads. Azure GPU VMs are available for use with several sizes, including multiple, single, or fractional GPUs. Comes with Dual Intel Platinum processor, up to 28 cores, up to 1 TB system RAM, choice of GPUs up to NVIDIA Quadro RTX 8000 with 48 GB RAM, storage up to 4 TB onboard and ability to add up to 36 TB in additional drives.Īzure offers a GPU-optimized virtual machines (VM) series. ThinkStation P920-a high-end deep learning desktop for training models. ![]() Comes with Xeon W-2295 Processor, up to 256 GB system RAM, choice of GPUs up to NVIDIA Quadro RTX 8000 with 48 GB RAM, storage up to 6 TB
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