Liftr Insights data show how far ahead AWS is with memory-optimized cloud instances

AUSTIN, Texas, June 11, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, revealed today that it detected AWS's recent launch of an 896-core instance type, surpassing the previous highest core counts by any cloud provider.

This is important to companies looking to improve performance. If they are not using these, their competitors might be.

Liftr® data show the previous AWS high core-count instance had 448 cores and first appeared in May 2021. Prior to that, the largest instance available in the six largest cloud providers (representing over 75% of the public cloud space) was a 384-core instance first offered by Azure in 2019.

The prices for this new instance type range by configuration and city from ~$150 per hour to over $400 per hour with an average price of $263.10.

Companies are willing to pay these prices to achieve high thread counts that improve performance, especially for databases like SAP HANA and Oracle. Liftr Insights tracks many characteristics, including the high memory configuration associated with these instances and the on-demand price.

"It's not advantageous for AWS to deploy solutions that won't sell, especially at these price-points," says Tab Schadt, CEO of Liftr Insights. "They spend significant time and money on their market intelligence. Other companies can benefit from their research about what they are offering and where they offer them at a fraction of that cost."

Consistent with other AWS deployments, this instance first appeared in the East and West coast regions of the US, but they also deployed these instance types in Seoul and Sydney. The 448-core instances were deployed early on across the globe, but initial appearances were in Dublin, Frankfurt and Singapore. Deployments of the 448-core instance did not appear in Seoul and Sydney until 3 and 6 months later, respectively. Deploying to those non-US regions from the start for this 896-core instance is a strong sign of demand in those areas.

"Perhaps we'll see larger instances in the near future, showing even more demand for high performance workloads," says Schadt. "At the least, we'll keep an eye out to see if and when Azure or other cloud providers respond in kind."

About Liftr Insights 

Liftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for:

• Server processors: Intel Xeon, AMD EPYC, Aliyun Yitian, AWS Graviton, and Ampere Computing Altra
• Datacenter compute accelerators: GPUs, FPGAs, TPUs, and AI chips from NVIDIA, Xilinx, Intel, AMD, AWS, and Google

As shown on the Liftr Cloud Regions Map at https://bit.ly/LiftrCloudRegionsMap, among the companies tracked are Amazon Web Services, Microsoft Azure, Alibaba Cloud, Google Cloud, Oracle Cloud, Tencent Cloud, CoreWeave, Lambda, and Vultr as well as semiconductor vendors AMD, Ampere, Intel, and NVIDIA. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data. 

Liftr and the Liftr logo are registered service marks of Liftr Insights. The following are trademarks and/or service marks of Liftr Insights: Liftr Insights, Cloud Components Tracker, Intelligence Compute Tracker, and Liftr Cloud Regions Map. 

The following are registered intellectual property marks, trademarks, or service marks of their respective companies: Amazon Web Services
Microsoft Azure
Alibaba Cloud
Google Cloud
Oracle Cloud
Tencent Cloud
CoreWeave
Lambda
Vultr
Intel Corporation
Ampere Computing
NVIDIA
AMD
ARM 

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SOURCE Liftr Insights