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GPUs for AI Innovators

Today, customers such as Aleph Alpha are training billion-parameter AI models on Oracle Cloud Infrastructure (OCI) using Oracle’s powerful A100 GPU instances, connected by high-speed RDMA networking and backed by cloud-based high-performance file systems.


Scale your AI model training with tens or thousands of cores on OCI’s GPU powered bare metal and virtual instances.

Watch the Aleph Alpha video (3:​36)

See how OCI powers new-generation AI models

Aleph Alpha builds self-learning artificial intelligence on OCI

“This is a new generation model, and in order to train those you need a new generation of hardware—the old GPU clusters aren’t sufficient anymore. On the industry side we have raised a lot of capital and partnered with Oracle. We’re building a way to translate an impressive playground task into an enterprise application that creates value.”

Jonas Andrulis, Founder and CEO
Aleph Alpha

WEKA on OCI delivers 2 terabytes per second performance

“Oracle Cloud Infrastructure is a top tier Hyperscaler cloud that provides XaaS compute and application services to Oracle customers, and offers a lot more than you might expect, including AI/ML and GPU workloads.”

Joel Kaufman
Senior Technical Marketing Manager, WEKA

VizSeek powers visual search with Oracle

“Our software is a visual search engine, and people expect it to be fast, they expect it to be reliable, and we also need to be able to scale for our customers and make sure our platform is secure. So, this type of architecture really meets all those requirements. We’re able to debug and scale without any error or interruption.”

Rob Hill, Chief Architect
VizSeek

Explore how OCI supports model training and parallel applications

High-speed RDMA cluster networks

High performance computing on Oracle Cloud Infrastructure provides powerful, cost-effective computing capabilities to solve complex mathematical and scientific problems across industries.

OCI's bare metal servers coupled with Oracle’s cluster networking provide access to ultralow-latency RDMA (< 2 μs latency across clusters of tens of thousands of cores) over converged Ethernet (RoCE) v2.

High performance computing (HPC) on OCI

HPC on OCI rivals the performance of on-premises solutions with the elasticity and consumption-based costs of the cloud, offering on-demand potential to scale tens of thousands of cores simultaneously.

With HPC on OCI, you get access to high-frequency processors, fast and dense local storage, high-throughput ultralow-latency RDMA cluster networks, and the tools to automate and run jobs seamlessly.

Per an analysis by Exabyte.io, OCI can provide latencies as low as 1.7 microseconds—lower than any other cloud vendor. By enabling remote direct memory access (RDMA)-connected clusters, OCI has expanded cluster networking for bare metal servers equipped with NVIDIA A100 GPUs.

The groundbreaking, back-end network fabric lets customers use Mellanox’s ConnectX-5, 100 -Gbps network interface cards with RDMA over converged Ethernet (RoCE) v2 to create clusters with the same low-latency networking and application scalability that can be achieved on-premises.

The groundbreaking, backend network fabric lets customers use Mellanox’s ConnectX-5, 100-Gbps network interface cards with RDMA over Converged Ethernet (RoCE) v2 to create clusters with the same low-latency networking and application scalability that can be achieved on premises.

Dedicated engineering support

Oracle Cloud Infrastructure provides world-class technical experts to help you get up and running. We remove the technical barriers of a complex deployment—from planning to launch—to help ensure your success.

For AI startups, Oracle’s dedicated engineering support team works with customers to set up clusters using our automated Terraform deployment.

Technical services offered
  • Solution architecture development
  • Networking, security, and auditing
  • Onboarding to OCI
  • Application migration
  • Post-migration training
  • Support for production deployments

Improved economics

OCI was developed with a consistent pricing model across all regions to simplify adoption.

HPC on OCI brings powerful, cost-effective computing capabilities to solve complex mathematical and scientific problems across industries.

Companies with applications that rely on machine learning, image processing, and massively parallel high performance computing jobs benefit from running GPUs as they allow them to solve complex problems and innovate faster.

Unique bare metal GPU clusters

OCI’s bare metal GPU instances offer startups a high performance computing platform for applications that rely on machine learning, image processing, and massively parallel high performance computing jobs. GPU instances are ideally suited for model training, inference computation, physics and image rendering, and massively parallel applications.

The BM.GPU4.8 instances have eight NVIDIA A100 GPUs and use Oracle’s low-latency cluster networking, based on remote direct memory access (RDMA) running over converged Ethernet (RoCE) with less than 2-microsecond latency. Customers can now host more than 500 GPU clusters and easily scale on demand.

April 15, 2022

WEKA on OCI delivers 2 terabytes per second performance

Amit Rajkhowa, Senior Principal Product Manager, Oracle

Oracle and WEKA are proud to announce the availability of WEKA on Oracle Cloud Infrastructure (OCI). Both companies have been working together to validate that WEKA can run on OCI bare metal instances to deliver the highest level of performance that customers demand for their critical workloads. Along with performance, we’ve also validated transparent storage tiering for WEKA by using S3-compatible Oracle Cloud Infrastructure Object Storage as a low-cost tier.

Read the complete post

Additional cloud architecture and deployment resources

OCI Cloud Adoption Framework (CAF)

IDC’s view on OCI and hybrid cloud

Omdia’s perspective on why all clouds are not the same

OCI for the modern enterprise