Qualified working state can occupy less resident memory while preserving the workload's required behavior.
Patent pending memory orchestration
Infrastructure memory, rethought.
MemoryPulse is designed to sit between application behavior and infrastructure state to identify, classify, release, and restore qualified state under policy controls without forcing applications to be rewritten.
Designed for enterprise environments
Observe → Discover → Manage
4.33× baseline to managed footprint ratio
Qualified Blackwell workload | 3.491 GB → 0.806 GB
MEMORYPULSE CONTROL PLANE
Live infrastructure state
verified
MP
OBSERVE
QUALIFY
MANAGE
RESTORE
Sustained reduction
79.94%
24h qualification run
Managed workload p99
1.08 ms
measured result
QUALIFIED BLACKWELL RESIDENCY76.9% less
Baseline3.491 GB
Managed0.806 GB
Same qualified workflow4.33× baseline-to-managed footprint ratio
Adapter architecture spans
Redis
GPU / XR
Linux
AI runtimes
Databases
High throughput systems
Many latency sensitive workloads are provisioned around the working state they expect to keep resident. MemoryPulse tests how much of that residency assumption can be safely changed.
In plain English
Use more of the infrastructure you already own.
MemoryPulse identifies live state that does not need to remain resident every moment, safely releases qualified state, and restores it when the workload needs it again.
The application keeps using its normal interfaces. MemoryPulse operates through environment-specific adapters instead of requiring an application rewrite.
Observe and Discovery establish what is safe, measurable, and restorable before any Managed authority is enabled.
See the value chain
A smaller resident footprint can become business headroom.
The technical result comes first. The financial result is then proven against the customer’s actual workload, utilization, hardware, power, cooling, and expansion plan.
Qualified workloadExisting app + existing infrastructure
MemoryPulse
23.1% of baseline residencyB200 qualification example · 3.491 GB → 0.806 GB
Headroom
Capacity optionsMore workload density, delayed expansion, or redeployment
Qualify
Customer-specific economicsRevenue, capex, energy, cooling, and floor-space impact
Measured input76.9% resident reduction in the qualified B200 workflowModeled outputOnly after customer qualification
The platform
One orchestration layer.
Multiple environments.
MemoryPulse observes real workload behavior, maps what can be safely transformed, and applies policy through adapters built for each qualified environment without changing the application’s contract.
See MemoryPulse at Work ↗01
Observe before touching anything.
Start with read only visibility. MemoryPulse maps runtime behavior, state boundaries, identities, and restoration dependencies before any managed action is allowed.
02
Policy-governed control, not guesswork.
Policy is explicit. Unknown state is protected by default. Managed release requires a qualified path, measured release evidence, and restoration behavior that stays inside defined performance gates.
03
Verified restoration.
Memory is not “freed and forgotten.” The system is designed around restorable state, identity checks, commit/rollback behavior, and measurable restore performance.
04
Universal core. Adapter control.
The platform stays consistent while adapters speak the native language of the environment: cache, runtime, database, GPU, AI, XR, host, and future workload classes.
Qualification evidence
Measured under load.
Not modeled on slides.
MemoryPulse qualification work has been run across long duration managed workloads, Redis state, GPU/XR pipelines, and production lifecycle gates.
24 hour validation
79.94%
final sustained net reduction
Managed workload
1.08ms
p99 latency
Measured during the 24 hour final qualification run.
Redis managed proof
94.18%
logical use reduction
126.07 MB → 7.33 MB in the measured test environment.
NVIDIA B200 / Blackwell
4.33×
baseline to managed resident footprint ratio
3.491 GB baseline → 0.806 GB managed in the qualified immersive workload; the baseline footprint was 4.33× the managed footprint, corresponding to a measured 76.9% reduction.
Qualification results are specific to each environment and should not be interpreted as guaranteed results for every workload. Customer environments are measured during discovery and pilot qualification.
Selected qualification registry
Measured results, identified by workload and test window.
Detailed logs, artifacts, and integrity evidence can be provided during controlled technical diligence where appropriate.
3.491 GB → 0.806 GB resident footprint · 76.9% measured reduction · target 29.97 / 59.94 fps sustained with zero late frames in qualified runs.
79.94% final sustained net reduction · 1.08 ms managed workload p99 · four validation cycles.
126.07 MB → 7.33 MB logical use · 94.18% measured reduction in the qualification environment.
8.63 GB Redis RSS returned · 3.329 ms restore p99 in the two hour Linux bare metal qualification.
B200
NVIDIA Blackwell qualification
Hardware validation
More headroom.
Less resident memory.
In the qualified B200 immersive workload, MemoryPulse reduced the resident Redis and system memory footprint while the application codec remained LZ4. MemoryPulse operated around the existing workflow rather than replacing it.
See the enterprise business case
Qualified workload
Results are specific to the tested hardware, workload, software path, and configuration. MemoryPulse is patent pending. Proprietary orchestration methods are protected and are not disclosed on the public site.
→
0.806 GB
76.9% measured reduction · 4.33× footprint ratio
Measured. Qualified. Verifiable.
Public headline claims use only metrics whose interpretation is settled and reproducible.
✓
Existing codec preserved. MemoryPulse adds an orchestration layer without asking the workload to abandon LZ4.
Why infrastructure buyers care
Turn memory pressure into economic headroom.
MemoryPulse is designed to create measurable infrastructure value without requiring customers to replace the applications, codecs, databases, or runtimes that already run the business.
Increase effective capacity
Reduce resident footprint so qualified workloads can use more of the infrastructure already deployed.
Delay incremental spend
Convert memory constrained growth pressure into measurable headroom before the next capacity purchase is required.
Protect application investment
Keep the current application contract and prove value around it instead of forcing an expensive rewrite.
Price against measured value
Pilot evidence can anchor a Measured Infrastructure Improvement (MII) business case before production expansion.
From memory footprint to physical footprint
Shrink the workload footprint.
Potentially shrink the facility footprint with it.
When memory residency is a limiting resource, reducing the resident footprint can create rack equivalent headroom without changing the application. If that headroom is used to consolidate workloads, retire hardware, or avoid planned expansion, it can reduce or defer server, rack, power, and cooling requirements for the qualified workload.
The ghost rack effect
Capacity you can use without physically adding the next rack.
“Ghost rack” is MemoryPulse planning shorthand for rack equivalent headroom, not a claim that software automatically removes a physical rack. If qualified memory headroom lets an operator consolidate workloads or avoid additional hardware, the downstream effect can include deferred servers, rack positions, power distribution and UPS capacity, and cooling expansion such as CDUs, pumps, manifolds, heat exchangers, or liquid cooling loops.
Important
Memory footprint reduction by itself does not automatically reduce facility energy use. Actual savings depend on whether the recovered headroom changes hardware count, utilization, power state, expansion timing, cooling topology, and workload placement.
Installed rack
Ghost rack
Capacity
without the
next build
without the
next build
Potentially reduce or defer incremental electrical demand
If recovered headroom avoids additional servers or enables consolidation, it can reduce or defer incremental compute power, power distribution load, and UPS capacity.
Lower the heat load associated with new capacity
If qualified headroom delays or avoids new hardware, it can also delay or avoid the associated incremental cooling load.
Potentially defer expensive cooling expansion
Dense deployments can require CDUs, pumps, manifolds, heat exchangers, and facility water loops. Avoided or deferred dense hardware growth can therefore reduce or defer related cooling expansion.
Create rack equivalent headroom
When memory is the binding constraint, recovered headroom can delay the point at which additional rack positions or cages are needed for the qualified workload.
Not dependent on newest hardware
MemoryPulse has also produced strong results on legacy infrastructure.
Qualification work has included an HP ProLiant DL360 Gen7 with an NVIDIA Quadro P1000, demonstrating that the MemoryPulse value proposition is not limited to the newest GPU generation. The orchestration layer is designed to work across heterogeneous infrastructure where the qualified adapter path exists.
Patent pending
MemoryPulse’s internal orchestration, state selection, and restoration methods remain proprietary.
two hour Linux qualification environment on HP ProLiant DL360 Gen7 / NVIDIA Quadro P1000 hardware
measured during that legacy qualification run
measured in that qualification environment
Architecture
Designed for control, not disruption.
Applications keep talking to the systems they already use. MemoryPulse introduces a policy and evidence layer that classifies state, protects unknowns, and coordinates qualified release/restore paths.
01
Application contract preserved. Existing application interfaces remain intact.
02
Protected by default. Unknown state is not treated as reclaimable.
03
Fail closed controls. Managed operations require identity, policy, and runtime authorization.
04
Evidence based lifecycle. Observe, discover, qualify, then activate managed control.
EXISTING
Applications & Workloads
AI · XR · databases · services · pipelines
CONTROL
MemoryPulse
policy · qualification evidence · bounded control · recovery verification
INFRASTRUCTURE
Memory / Cache / GPU / Runtime
native environment behavior remains visible
Enterprise deployment
Start with evidence.
Earn the right to manage.
Paid pilots begin with observation and discovery. Managed control is activated only after the environment, adapter, policy boundaries, restoration behavior, and customer authorization have been qualified.
01
Observe
Read only visibility
02
Discover
Map state & behavior
03
Qualify
Prove release & restore
04
Manage
Authorized production control
No forced app rewrite
mTLS control plane
Identity & digest checks
Audit first operation
Control posture
Managed authority is deliberately constrained.
Qualified deployments are designed around non root operation, authenticated control traffic, signed or digest checked software identity, protected unknown state, and customer authorization before managed release paths are enabled.
Non root deployment model
mTLS control traffic
Digest and identity verification
Protected by default unknown state
Observe and discovery before manage
No required external phone home path
Expandable adapter model
One platform. New environments by adapter.
MemoryPulse is designed so new workload classes can be added without rebuilding the orchestration core.
Company identity
MemoryPulse is a company, an invention, and an enterprise qualification program.
MemoryPulse LLC develops the patent-pending orchestration platform. Founder and inventor Jeffrey De Maertelaere leads the product architecture and qualification model, supported by a leadership and partnership team focused on enterprise deployment.
Enterprise pilots
Measure what MemoryPulse can unlock in your environment.
Begin with an observe only deployment, map the real opportunity, and build an evidence package before any managed action is enabled.