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Cirrascale Cloud Services Broadens Deep Learning Cloud Offerings with World’s Most Powerful GPU for AI Supercomputing

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

“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,” said Mike LaPan, vice
president, Cirrascale Cloud Services. “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.”

The NVIDIA A100 80GB Tensor Core GPU introduces groundbreaking features to
optimize inference workloads. It accelerates 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. A100 provides up to 20x higher performance over the
NVIDIA VoltaR and on modern conversational AI models like BERT Large, A100
accelerates inference throughput by 100x over CPUs.

Also available through Cirrascale Cloud Services is the NVIDIA A30 Tensor
Core GPU, 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 also
supports MIG technology, delivering superior price/performance with up to 4
instances containing 6GB of memory, perfectly suited to handle entry-level
applications. Cirrascale’s accelerated cloud server solutions with NVIDIA
A30 GPUs provide the needed compute power — along with large HBM2 memory,
933GB/sec of memory bandwidth, and scalability with NVIDIA NVLinkR
interconnect technology — to tackle massive datasets and turn them into
valuable insights.

“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,” said Paresh Kharya, senior director of Product
Management, Data Center Computing at NVIDIA.

Customers are already using the NVIDIA A100 80GB GPUs on the Cirrascale
Cloud Services platform and the A30 will be available for use by end of Q2
2021. Interested customers and partners can visit or
call (888) 942-3800 to sign up for service.

About Cirrascale Cloud Services
Cirrascale Cloud Services is a premier provider of public and private
dedicated cloud solutions enabling deep learning workflows. The company
offers cloud-based infrastructure solutions for large-scale deep learning
operators, service providers, as well as HPC users. To learn more about
Cirrascale Cloud Services and its unique cloud offerings, please visit or call (888) 942-3800.

Cirrascale Cloud Services, Cirrascale and the Cirrascale Cloud Services logo
are trademarks or registered trademarks of Cirrascale Cloud Services LLC.
NVIDIA, the NVIDIA logo, and NVLink are trademarks or registered trademarks
of NVIDIA Corporation. All other names or marks are property of their
respective owners.

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