Cirrascale expands its GPU cloud services with deployments of the most powerful AI supercomputing GPUs available.

Cirrascale Cloud Services, a premier cloud services provider of deep learning infrastructure solutions for autonomous vehicles, natural language processing, and computer vision workflows, announced that its dedicated, multi-GPU deep learning cloud servers now support the NVIDIA A100 80GB and A30 Tensor Core GPUs. These offerings provide enterprise customers with mainstream options for a broad range of AI inference, training, graphics, and traditional enterprise compute workloads, with the GPUs having achieved record-setting performance across every category on the latest release of MLPerf.

The NVIDIA A100 80GB Tensor Core GPU introduces groundbreaking features to optimize inference workloads, accelerating a full range of precision from FP32 to INT4. Multi-Instance GPU (MIG) technology enables up to 7 instances with up to 10GB of memory to operate simultaneously on a single A100 for optimal utilization of compute resources. Structural sparsity support delivers up to 2X more performance on top of the A100 GPU's other inference performance gains. The A100 provides up to 20x higher performance over the NVIDIA Volta and accelerates inference throughput by 100x over CPUs on modern conversational AI models like BERT Large.

Also available through Cirrascale Cloud Services is the NVIDIA A30 Tensor Core GPU with 24GB HBM2 memory, which delivers versatile performance supporting a broad range of AI inference and mainstream enterprise compute workloads, such as recommender systems, conversational AI and computer vision. The A30 supports MIG technology, delivering superior price/performance with up to 4 instances containing 6GB of memory, and provides 933GB/sec of memory bandwidth with scalability through NVIDIA NVLink interconnect technology to handle massive datasets.

According to Mike LaPan, vice president of Cirrascale Cloud Services, "Model sizes and datasets in general are growing fast and our customers are searching for the best solutions to increase overall performance and memory bandwidth to tackle their workloads in record time. The NVIDIA A100 80GB Tensor Core GPU delivers this and more. Along with the new A30 Tensor Core GPU with 24GB HBM2 memory, these GPUs enable today's elastic data center and deliver maximum value for enterprises." Paresh Kharya, senior director of Product Management, Data Center Computing at NVIDIA, added that "customers deploying the world's most powerful GPUs within Cirrascale Cloud Services can accelerate their compute-intensive machine learning and AI workflows better than ever."

Customers are already using the NVIDIA A100 80GB GPUs on the Cirrascale Cloud Services platform, with the A30 becoming available by end of Q2 2021. Interested customers and partners can contact Cirrascale Cloud Services at (888) 942-3800 or visit cirrascale.com to sign up for service.