Stackable.
Scalable.
Stackable.
Scalable.
Engineered to close the gap between what modern compute can do and what conventional memory allows
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Contact us
Engineered to close the gap between what modern compute can do and what conventional memory allows
Contact us
Upgrading Starts Here
Upgrading Starts Here
Stacked at Proximity
Stacked at Proximity
Traditional memory communicates with compute across long signal paths through through interposers, micro bumps, and TSVs traces. Every millimeter adds latency, power, and heat.
Memstak stacks directly or adjacent to the accelerator die. We express it as "stacked on top of accelerators," though the exact configuration would be different and tailored for each implementation.
Traditional memory communicates with compute across long signal paths through through interposers, micro bumps, and TSVs traces. Every millimeter adds latency, power, and heat.
Memstak stacks directly or adjacent to the accelerator die. We express it as "stacked on top of accelerators," though the exact configuration would be different and tailored for each implementation.
Ultra Wide Data Path
Ultra Wide Data Path
Proximity alone is not enough.
The data path must be wide enough to feed the accelerator’s appetite.
Memstak’s architecture enables bandwidth comparable to or exceeding HBM, but each transfer is more energy efficient because signals travel shorter distances through fewer intermediary layers.
At scale, this efficiency compounds across billions of memory accesses per training run.
Proximity alone is not enough.
The data path must be wide enough to feed the accelerator’s appetite.
Memstak’s architecture enables bandwidth comparable to or exceeding HBM, but each transfer is more energy efficient because signals travel shorter distances through fewer intermediary layers.
At scale, this efficiency compounds across billions of memory accesses per training run.
System Specific Design
System Specific Design
There is no one size fits all Memstak module.
Memory configuration, interface specs, physical layout, and thermal characteristics are all tailored to the target system through close collaboration with the accelerator team.
The memory becomes an integral part of the architecture rather than a generic add on.
There is no one size fits all Memstak module.
Memory configuration, interface specs, physical layout, and thermal characteristics are all tailored to the target system through close collaboration with the accelerator team.
The memory becomes an integral part of the architecture rather than a generic add on.
Package Level Integration
Package Level Integration
Memstak fits natively into existing die areas and interconnect designs. No interposer redesign, no full package re‑qualification.
It is additive, extending current accelerator capabilities rather than demanding replacement.
This is what makes Memstak practical for organizations that need improvement on their current roadmap timeline.
Memstak fits natively into existing die areas and interconnect designs. No interposer redesign, no full package re‑qualification.
It is additive, extending current accelerator capabilities rather than demanding replacement.
This is what makes Memstak practical for organizations that need improvement on their current roadmap timeline.
The Ripple Effects across the industry
The Ripple Effects across the industry
Performance Cascade
Performance Cascade
Faster inference: 5x to 10x →
Lower cost per token →
Broader AI accessibility across industries
previously priced out of cutting edge models.
Faster inference → Lower cost per token → Broader AI accessibility across industries previously priced out of cutting edge models.
Faster inference → Lower cost per token → Broader AI accessibility across industries previously priced out of cutting edge models.
Saving Power
Saving Power
4-GPU cluster with Memstak surpasses traditional 8-GPU cluster →
Cuts down power consumption in half with 4-GPU cluster along with Memstak →
reduced cooling →
smaller data centers →
less pressure on power grids & may not be a need for nuclear power plants.
Lower power per GPU →
reduced cooling →
smaller data centers →
less pressure on power grids
& less urgency for
new generation capacity.
Lower power per GPU →
reduced cooling →
smaller data centers →
less pressure on power grids
& less urgency for
new generation capacity.
Double Efficient GPU Supply and Rapid AI Data Center Expansion
Double Efficient GPU Supply and Rapid AI Data Center Expansion
4-GPU cluster with Memstak →
Eliminating GPU supply limitation →
Rapid expansion of AI data center
Lower power per GPU →
reduced cooling →
smaller data centers →
less pressure on power grids
& less urgency for
new generation capacity.
Lower power per GPU →
reduced cooling →
smaller data centers →
less pressure on power grids
& less urgency for
new generation capacity.
HBM Supply Chain Liberation
HBM Supply Chain Liberation
An alternative memory supply for AI →
Bypassing HBM scarcity →
Memory for AI becomes more affordable →
accelerated global deployment of AI infrastructure.
An alternative memory supply for AI →
Bypassing HBM scarcity →
Memory for AI becomes more affordable →
accelerated global deployment of AI infrastructure.
The Architecture Delivers.
Discover its impact
See benchmark data, cluster comparisons, and workload projections. Or, if you want to learn more, let's talk.
See benchmark data, cluster comparisons, and workload projections.
Or, if you want to learn more, let's talk.
Advancing the architecture of AI
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