🔍 Read the full analysis: Where Data Center Power Is Scarce, Idle HANA Memory Becomes New Capacity on Rymvard
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TL;DR
Rymvard says its early-access product can identify SAP HANA memory that has been allocated but rarely used, offering hosting providers a way to recover usable capacity inside existing data centers. Its Singapore scenario is illustrative, not a customer deployment, and the company has not reported measured savings or outcomes.
Rymvard is offering an early-access tool to help SAP hosting providers identify allocated but underused HANA memory in existing data centers, a possible source of capacity where new data-center space is tightly allocated. The company’s Singapore example is an illustrative scenario, not a customer deployment, and no measured savings or customer outcomes have been reported.
The product compares each HANA system’s allocation limit with its peak memory use over the preceding 30 days. Rymvard says it flags hosts that are overbooked or above 90 percent, and identifies systems that used less than a tenth of their allocation during that period for possible right-sizing. These indicators identify candidates for review; they do not, on their own, establish that memory can safely be removed.
Rymvard says its host-level view separates memory into the operating-system reserve, each HANA system’s 30-day peak use, allocated memory that is unused, memory held for replicas at other sites, and genuinely free memory. The default operating-system reserve is 10 percent of the first 64 GiB plus 3 percent of the remainder, unless a host declares its own reserve. If allocations exceed physical memory, the tool displays overbooking rather than presenting it as negative free memory.
The company says replica takeover checks remain in the analysis so that right-sizing does not remove memory required for recovery. Its Singapore scenario refers to banks’ recovery-time requirements: MAS Notice 644 on Technology Risk Management requires a recovery time objective of no more than four hours for each critical system, according to the supplied description. The material does not detail how the product validates every system’s compliance or how operators approve proposed changes.
Infrastructure Briefing · October 2026
Where Data Center Power Is Scarce, Idle HANA Memory Becomes New Capacity
Rymvard’s early-access tool looks for SAP HANA memory that is allocated but rarely used, giving hosting providers a way to review capacity inside existing data centers. The Singapore case is illustrative; measured savings and customer outcomes have not been reported.
01 / What the product surfaces
Unused allocation is only one part of the picture
A host-level view separates apparent slack from memory already committed to operating needs, replication, and recovery.
Peak system use
Shows each HANA system’s peak memory use over the past 30 days alongside its allocation limit.
Allocated but unused
Highlights systems using less than a tenth of allocation, and hosts above 90% or overbooked, for operator review.
Replica and free memory
Displays replica memory held for other sites separately from genuinely free memory and other reservations.
These signals identify candidates for review. Low recent use alone does not establish that memory can safely be removed.
02 / How to read the host view
Allocation is not the same as available capacity
Rymvard says the analysis keeps operational reserves and replica takeover checks visible in the same view.
Reserves and overbooking stay explicit
The default operating-system reserve is 10% of the first 64 GiB plus 3% of the remainder, unless a host declares its own reserve.
If allocations exceed physical memory, the tool displays overbooking rather than treating the difference as negative free memory.
Rymvard says replica takeover checks remain in the analysis so memory required for recovery is not treated as removable. Detailed validation and operator approval steps have not been described.
03 / The proposed workflow
From memory map to a review decision
The product is designed to make potential headroom visible. Whether that becomes usable capacity depends on operational review.
Measure
Compare allocation limits with the previous 30 days of peak use.
Separate
Show reserves, unused allocation, replica memory, and free memory distinctly.
Flag
Surface low-use systems, high allocation, and overbooked hosts.
Review
Operators assess demand, risk, and recovery requirements before changes.
“Allocations beyond physical memory are shown as overbooking, never hidden as negative free memory.”Rymvard · Product description
04 / Singapore context
Space constraints make installed capacity matter
Singapore opened a second data-center application call in December 2025.
Selective expansion, illustrative use case
Singapore’s selective allocation rounds help explain why providers may seek more capacity within existing facilities rather than assume another hall can be added.
Rymvard describes a regional SAP hosting hub as a scenario. It does not name an operator, identify a customer site, or report that capacity was recovered there.
05 / Evidence check
Customer results remain unreported
The available evidence describes product functionality and a proposed use case, not independently measured impact.
Running product screens
Rymvard says the screens come from a running product and an example estate, not an identified customer environment.
Measured impact
No quantified memory recovered, additional workloads supported, costs avoided, or customer outcomes have been published.
Operating process
The material does not say how many providers are in early access, how demand shifts beyond 30 days are handled, or how proposed changes are approved.
Deployment and recovery results
Useful next evidence would include named deployments, measurable capacity changes, and customer-tested recovery performance after right-sizing.
Quick answers
Key questions
What does the product do?
It compares SAP HANA allocation limits with 30-day peak use and displays used, unused allocation, replica reservations, free memory, and overbooking.
Has a Singapore operator used it to free capacity?
No deployment or outcome is identified. The Singapore hosting-hub case is an illustrative scenario.
How are recovery needs considered?
Rymvard says takeover checks for replicated systems remain in the analysis. Customer recovery results have not been reported.
Is it generally available, and what does it cost?
Rymvard says it is in early access. Pricing is agreed with partners; no prices are published.
Primary source: IMDA · via Rymvard. Singapore example and product claims are attributed to the supplied company material.
Recovering Capacity Without New Halls
When providers cannot readily expand their physical footprint, making better use of installed memory could let them support additional workloads without first securing a new data-center hall. That matters for SAP HANA hosting, where large allocations may be reserved in advance and remain well above actual usage. Rymvard’s method makes those gaps visible alongside memory that must remain available for replication and recovery.
The distinction between unused allocation and truly available capacity is important: a system’s low recent use does not mean its reserved memory can be removed without operational risk. By showing replica requirements and overbooking separately, the product is designed to support a more informed review rather than count all apparent slack as capacity. Whether that translates into additional customer workloads, reduced costs, or improved utilization has not been established with published results.
For readers evaluating the development, the evidence is currently about product functionality and a proposed use case, not independently measured impact. Rymvard says its screens are from the running product, but the estate shown is illustrative and not associated with a named customer, site, or outcome.
SAP HANA memory optimization tools
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Singapore’s Selective Data-Center Allocation
Singapore has used selective application rounds to allocate new data-center capacity. In 2023, four proposals were selected in a pilot Data Centre Call for Application, for about 80 MW in total. A second call opened in December 2025. The process helps explain why an operator in Singapore may look for operational capacity within an existing facility rather than assume it can simply add another hall.
Rymvard applies that constraint to SAP HANA memory management. Its scenario describes a regional SAP hosting hub, but does not identify a real operator. The company says the product is running in early access and that pricing is agreed with early-access partners; it publishes no prices. The scenario should not be read as a report of a Singapore project or as evidence that an allocation has been recovered.
“The product compares every system’s allocation limit with its peak use over 30 days.”
— Rymvard
data center capacity management software
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Customer Results Remain Unreported
No customer deployment or outcome is identified in the material, and Rymvard has not provided a quantified estimate of memory recovered, workloads added, or costs avoided. The Singapore hosting-hub example is explicitly illustrative, and the screens are described as coming from a running product on an example estate rather than a customer environment.
It is also unclear how many providers are participating in early access, how the tool handles changes in demand beyond its 30-day lookback, and what review or approval process operators use before altering allocations. The product’s description says replica takeover checks are retained, but gives no customer-tested evidence or detailed validation results demonstrating recovery performance after right-sizing.
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Early Access and Validation
Rymvard says the product is available in early access, with pricing agreed individually with partners. The next evidence to watch for is whether the company or participating providers publish customer deployments, measurable capacity changes, or operational results showing that right-sizing preserved replica and recovery requirements.
Until such evidence is available, the Singapore example remains a demonstration of how the software presents memory allocation and use—not confirmation that a provider has freed capacity or met a particular recovery target through the tool.
Primary source: IMDA · via Rymvard
data center capacity planning solutions
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Key Questions
What does Rymvard’s product do?
It compares SAP HANA systems’ allocation limits with peak memory use over 30 days and displays used, allocated-but-unused, replica-reserved, and free memory, as well as overbooking.
Has a Singapore data-center operator used it to free capacity?
No customer deployment or outcome is identified. Rymvard describes the Singapore hosting-hub case as an illustrative scenario, not a customer example.
How does the approach account for recovery needs?
Rymvard says the analysis retains takeover checks for replicated systems so memory needed by replicas is not treated as removable. The material does not report measured recovery results from a customer deployment.
Why is existing capacity relevant in Singapore?
Singapore selected four proposals totaling about 80 MW in its 2023 pilot data-center application round, and opened a second call in December 2025. The allocation process means providers may look for capacity within existing facilities.
Is Rymvard generally available, and what does it cost?
Rymvard says the product is in early access. It publishes no prices; pricing is agreed with early-access partners.
Primary source: IMDA · via Rymvard
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