REDWOOD SHORES, Calif., Sept. 22,
2020 /PRNewswire/ -- Oracle today announced that it is
the first major cloud provider to make NVIDIA A100 Tensor Core
GPU on bare metal instances generally available. Oracle's
latest GPU instances enable customers in industries such as
automotive and aerospace to run complex, data-intensive,
high-performance applications like modeling and simulations more
efficiently and at a lower cost than ever before. Get started
here.
Oracle Cloud Infrastructure, running the NVIDIA A100 Tensor Core
GPUs on bare metal instances, can run complex AI models and deep
learning systems between two-and-a-half to six times faster than
instances featuring previous generations of GPUs. When running on
Oracle Cloud, the new A100 GPU can help enterprises unlock more
value from their data and innovate faster, enabling important
breakthroughs such as testing and developing new medications,
building safer airplanes, and quickly sourcing natural resources.
Additionally, customers can for the first time run their complex
HPC applications using GPUDirect over NVIDIA Mellanox RDMA
networking, which enables clusters of thousands of GPUs, connected
with microsecond latency, to deliver massive computational power
on-demand.
"Since its inception, Oracle Cloud Infrastructure has
standardized on NVIDIA's GPUs, beginning with the Pascal
generation, moving to Volta and now with Ampere. Our customers
demand the best of on-premises with all the benefits of the cloud,
which is what we're delivering with our latest GPU instance running
on NVIDIA's latest A100 GPU," said Karan
Batta, vice president, Oracle Cloud Infrastructure. "We have
the largest, most performant, and most cost effective A100 offering
in the cloud because we offer double the memory and more local
storage than competitors. This is the GPU instance customers have
been waiting for to move to the cloud and deliver important
breakthroughs."
"Accelerated computing is essential to driving research
breakthroughs for enterprises across all industries," said
Ian Buck, general manager and vice
president of Accelerated Computing at NVIDIA. "By bringing the
NVIDIA A100 Tensor Core GPUs into its cloud service, and offering
the ability to scale to more than 500 GPUs interconnected with
Mellanox networking, Oracle is providing the computing performance
needed to accelerate the most critical work being done today in AI
and high performance computing."
NVIDIA A100 Tensor Core GPUs running on Oracle Cloud
Infrastructure
The new bare metal instance, GPU4.8, features eight NVIDIA A100
Tensor Core GPUs with 40 GB of memory each, all interconnected via
NVIDIA NVLink™. The CPU on board has 64 physical cores of AMD Rome
processors running at 2.9 GHz supported by 2,048 GB of RAM and 24
TB of NVMe storage. Oracle's new bare metal GPU instance joins the
high-speed, low-latency Cluster Network architecture, enabling
customers to scale to 500+ GPU clusters with NVIDIA Mellanox RDMA
over Converged Ethernet (RoCE) for large-scale distributed
workloads requiring RDMA and providing up to 1.6 TB of bandwidth
per bare-metal node.
In addition to the bare metal instance, organizations will be
able to deploy one, two, or four GPUs per virtual machine in the
coming months. These instance shapes will also give customers
access to all the existing toolsets, like pre-configured Data
Science VMs optimized for GPUs, to run any HPC or deep learning
containers from NVIDIA NGC, a hub of cloud-native, GPU-optimized
containers, models and industry-specific SDKs.
Expanding GPU Ecosystem
As part of today's news, Oracle is announcing images, solution
stacks, and services that expand users' ability to extract value
from their data, including:
AI Engineered MLOps Solution Stack – Automates the
end-to-end workflow using Apache Airflow and instantiating a
cluster of bare metal NVIDIA A100 shapes for distributed training
and inference.
Media Ops Packaged Solution Stacks – Automates
workflows leveraging Apache Airflow framework to operate a
self-managed media operations pipeline on Oracle Cloud. This
enhances customers' abilities to compress, package, and distribute
content.
Cloud Native MLOps Orchestration Package – Allows
data scientists to focus on innovation by using open source
Kubeflow along with Oracle Cloud Infrastructure-engineered images
and the NGC cloud image to automate the movement of data and the
creation of compute instances.
Julia AI HPC Image – Automation stack for engineered
HPC Image with Julia installed with Jupyter Notebook and IJulia
development environment that has been tested and optimized for
NVIDIA A100 GPUs. Paired with NVIDIA A100 Multi-Instance GPU
technology and Oracle HPC shapes, the environment is proving to be
faster than the older systems with Python.
Pre-configured Data Science and AI Image – Includes
NVIDIA's Deep Neural Network libraries, common ML/deep learning
frameworks, Jupyter Notebooks and common Python/R integrated
development environments. Available in the Oracle Cloud
Marketplace.
IDenTV provides advanced video analytics based on AI
capabilities powered by computer vision, automated speech
recognition and textual semantic classifiers. "The amount of
streaming video data being created is growing exponentially. To
deliver real-time analytics and insights demands the highest level
of graphics processing units," said Amro
Shihadah, founder and COO, IDenTV. "Oracle Cloud
Infrastructure delivers that with the new NVIDIA A100 GPU where we
expect an immediate performance gain of 35 percent."
DeepZen produces digital voice solutions for audiobooks,
advertising, marketing, brand voices and other types of voice
content, including podcasting, gaming and virtual assistants.
"Replicating the human voice with AI is highly dependent on
processing power and Oracle Cloud Infrastructure delivers that with
the new NVIDIA A100 GPU," said Kerem Sozugecer, co-founder and CTO,
DeepZen Limited. "This provided an immediate performance increase
of 37 percent, enabling us to scale our business."
Oracle for Startups
With machine learning and compute-intensive applications
exploding, companies are already benefiting from Oracle and
NVIDIA's partnership. Through the partnership between Oracle
for Startups and NVIDIA Inception, Oracle is accelerating AI
startups with NVIDIA's deep technical expertise and
industry-leading GPU technology on Oracle Cloud. Startups are also
benefiting from both companies' ability to connect them with
potential customers and leverage vast marketing and
business-building resources essential to their growth.
Additional Resources
- Get started on Oracle Cloud Infrastructure with Oracle
Cloud Free Tier, including premium services such as NVIDIA
GPUs
- Read the infrastructure roadmap update blog
- Learn more about NVIDIA GPUs on Oracle Cloud
Infrastructure
- Learn more about Oracle's partnership with NVIDIA
- Watch this video to learn the latest about Oracle's cloud
infrastructure and HPC
About Oracle
The Oracle Cloud offers a complete suite of integrated
applications for Sales, Service, Marketing, Human Resources,
Finance, Supply Chain and Manufacturing, plus Highly Automated and
Secure Generation 2 Infrastructure featuring the Oracle Autonomous
Database. For more information about Oracle (NYSE: ORCL), please
visit us
at www.oracle.com.
Trademarks
Oracle and Java are registered trademarks of Oracle and/or its
affiliates. Other names may be trademarks of their respective
owners.
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SOURCE Oracle