With Redshift Serverless you do not provision nodes. Instead you start with Base RPU, which is Redshift Processing Units. You can go as high as 512 RPU's. Redshift Serverless handles the provisioning and scaling of compute for you. The serverless instance can scale higher from the Base RPU to accommodate more queries as they come in automatically up to the usage limit you specify in Max RPU's.
Recently announced configurations of 8 RPU and 16 RPU support Redshift managed storage (RMS) capacity of up to 128 TB. If you're using more than 128 TB of managed storage, you can't downgrade to less than 32 RPU.
Max storage for Redshift Serverless is 8 PB of RMS for 512 RPUs. Answer from MilindOke on repost.aws
AWS
docs.aws.amazon.com › amazon redshift › management guide › amazon redshift serverless › compute capacity for amazon redshift serverless
Compute capacity for Amazon Redshift Serverless - Amazon Redshift
With Amazon Redshift Serverless compute capacity scales automatically up and down to match your workload requirements. Compute capacity refers to the processing power and memory allocated to your Amazon Redshift Serverless workloads. Common use cases include handling peak traffic periods, running ...
AWS
aws.amazon.com › about-aws › whats-new › 2026 › 04 › amazon-redshift-serverless-ai-driven-scaling-default
Amazon Redshift Serverless AI-driven scaling is now the default for new workgroups - AWS
2 weeks ago - Amazon Redshift Serverless now makes AI-driven scaling and optimization the default for all new workgroups. AI-driven scaling uses machine learning to predict compute needs and automatically adjust resources before queries queue, delivering better price-performance without manual tuning.
Videos
Amazon Web Services
aws.amazon.com › analytics › amazon redshift › amazon redshift serverless
Cloud Data Warehouse Serverless – Amazon Redshift Serverless – AWS
1 week ago - Amazon Redshift Serverless makes it easier to run and scale analytics in seconds without having to set up, manage, or scale data warehouse infrastructure.
AWS
docs.aws.amazon.com › amazon redshift › management guide › amazon redshift serverless
Amazon Redshift Serverless - Amazon Redshift
With Amazon Redshift Serverless, ... records from the data warehouse in the cloud. Amazon Redshift automatically provisions and scales data warehouse capacity to deliver fast performance for demanding and unpredictable workloads....
AWS
aws.amazon.com › awstv › watch › 66562b06614
AI-Powered Scaling for Redshift Serverless - AWS
This video from AWS re:Invent 2023 introduces AI-powered scaling and optimization for Amazon Redshift Serverless. Ashish Agarwal and Tim Kraska demonstrate how this new technology automatically adapts to varying workloads, providing up to 10x price-performance benefits.
AWS
aws.amazon.com › about-aws › whats-new › 2023 › 11 › amazon-redshift-serverless-ai-driven-scaling-optimizations-preview
Announcing Amazon Redshift Serverless with AI-driven scaling and optimizations (Preview) - AWS
Today, Amazon Redshift Serverless introduces a preview of the next generation of artificial intelligence (AI)–driven scaling and optimization in cloud data warehousing. Amazon Redshift Serverless uses AI techniques to scale automatically with workload changes across all key dimensions—such ...
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With Redshift Serverless you do not provision nodes. Instead you start with Base RPU, which is Redshift Processing Units. You can go as high as 512 RPU's. Redshift Serverless handles the provisioning and scaling of compute for you. The serverless instance can scale higher from the Base RPU to accommodate more queries as they come in automatically up to the usage limit you specify in Max RPU's.
Recently announced configurations of 8 RPU and 16 RPU support Redshift managed storage (RMS) capacity of up to 128 TB. If you're using more than 128 TB of managed storage, you can't downgrade to less than 32 RPU.
Max storage for Redshift Serverless is 8 PB of RMS for 512 RPUs.
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The maximum limit on the amount of data that can be stored with AWS Redshift Serverless depends on the size of the cluster, which can scale dynamically based on workload demands.
AWS Redshift Serverless allows you to store petabytes of data in a cost-effective manner without having to manage complex infrastructure or manually scaling your cluster. The amount of data you can store depends on the size of the cluster you provision, which can be scaled up or down based on your workload requirements.
With AWS Redshift Serverless, you can scale your cluster from 1 to 128 compute nodes, and each node can have up to 60TB of storage. This means that the maximum amount of data you can store with AWS Redshift Serverless is up to 7.68 petabytes (assuming 128 nodes, each with 60TB of storage).
It's worth noting that the actual amount of data you can store may be less than the maximum limit due to other factors, such as compression, replication, and other metadata that is stored in your cluster.
Amazon
assets.amazon.science › 64 › da › 6f7ad2174272ae22a20f6058baca › intelligent-scaling-in-amazon-redshift.pdf pdf
Intelligent Scaling in Amazon Redshift Vikram Nathan vrnathan@amazon.com
(2) We demonstrate how RAIS formulates ... critical path, ... At its core, RAIS is a serverless offering. Serverless architec- tures allow customers to automatically scale resource usage...
AWS
aws.amazon.com › blogs › big-data › optimize-your-workloads-with-amazon-redshift-serverless-ai-driven-scaling-and-optimization
Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization | Amazon Web Services
October 30, 2024 - The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse.
AWS re:Post
repost.aws › articles › ARPo2EYjL6ST-Cr9ysyPp07w › how-should-i-size-amazon-redshift-for-my-project
How should I size Amazon Redshift for my project? | AWS re:Post
February 25, 2026 - Amazon Redshift Serverless came with AI-driven scaling and optimizations in 2023. Now you do not even need to pick a number for RPU. You simply provide a price-performance target, from 50/Balanced (recommended) to 100/Performance focus to 1/Cost ...
DEV Community
dev.to › aws-heroes › test-driving-redshift-ai-driven-scaling-4k1m
Test Driving Redshift AI-Driven Scaling - DEV Community
January 11, 2024 - So if you throw a large workload at an undersized serverless cluster you will not have the performance you expect. If you maintain too high a base RPU, you will wastefully reserving capacity. The great thing is that since Redshift infrastructure can be manipulated by API, we can do all sorts of creative things like temporarily increasing the RPU setting before our jobs, or even spinning up an ephemeral cluster.
Amazon Web Services
amazonaws.cn › products › amazon redshift › amazon redshift features
Amazon Redshift Serverless
March 17, 2026 - Amazon Redshift Serverless automatically scales data warehouse capacity up or down to deliver consistently fast performance for even the most demanding and unpredictable workloads.
Daily.dev
app.daily.dev › home › aws › amazon redshift serverless ai-driven scaling is now the default for new workgroups
Amazon Redshift Serverless AI-driven scaling is now the default for new workgroups | daily.dev
2 weeks ago - Amazon Redshift Serverless now enables AI-driven scaling and optimization by default for all new workgroups. The feature uses machine learning to predict compute needs and adjust resources proactively before queries queue.
SUDO Consultants
sudoconsultants.com › home › blog › redshift serverless: cost optimization with workload management (wlm) – tune query queues and automate scaling for bi dashboards
Optimize Redshift Serverless Costs: WLM & Auto Scaling
August 25, 2025 - Redshift Serverless is a deployment option for Amazon Redshift that automatically provisions and scales compute resources based on the workload. It eliminates the need to manage clusters, allowing you to pay only for the queries you run.
AWS
aws.amazon.com › blogs › big-data › unlock-the-power-of-optimization-in-amazon-redshift-serverless
Unlock the power of optimization in Amazon Redshift Serverless | Amazon Web Services
March 13, 2025 - Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs).
KodeKloud Notes
notes.kodekloud.com › docs › AWS-Solutions-Architect-Associate-Certification › Services-Database › Redshift-Serverless › page
Redshift Serverless - KodeKloud
You have the flexibility to adjust this setting between 8 and 512 RPUs in increments of 8 (for example, 8, 16, 24, etc.). These changes can be made using the AWS Management Console, the update workgroup API operation, or via the AWS CLI.
Amazon Web Services
amazonaws.cn › en › blog-selection › configure-monitoring-limits-and-alarms-in-amazon-redshift-serverless-to-keep-costs-predictable
Configure monitoring, limits, and alarms in Amazon Redshift Serverless to keep costs predictable | Amazon Web Services Big Data Blog
It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon ...
Opsima
opsima.ai › blog › amazon-redshift-pricing-models-explained
Amazon Redshift Pricing Models Explained
January 26, 2026 - Redshift Serverless offers dynamic scaling that adjusts resources automatically based on workload demands. When queries become more complex or user activity spikes, the system scales RPUs in real time.
Secoda
secoda.co › learn › how-scalable-is-amazon-redshift
How Scalable is Amazon Redshift? | Secoda
August 12, 2024 - As a cloud-based data warehouse ... With AWS Redshift Serverless, you can scale your cluster from 1 to 128 compute nodes, with each node capable of having up to 60TB of storage....