DensityAI DensityAI

Building the fastest inference solution
for frontier models

DensityAI is building a new generation of AI accelerators around a novel memory architecture. Intended specifically for frontier‑scale LLM inference, our accelerator combines the near‑memory compute topology of SRAM designs with the density of HBM. We beat GPUs on both energy and speed for large‑model, long‑context workloads and we beat SRAM‑based designs on model size and reliability. We are designing a full stack solution, silicon to rack to software.

Build with us
the choice today

Today, you pick bandwidth or capacity
Frontier inference needs both

Bandwidth TB/s per node Capacity GB per node Compute Utilization % of peak HBM GPU SRAM Mesh DensityAI 8 TB/s 300 TB/s SRAM-like 192 GB 1 GB DRAM-like ~7% 50% Target ≥ 90%

HBM GPU

Bandwidth8 TB/s
Capacity192 GB
Compute Utilization~7%

SRAM Mesh

Bandwidth300 TB/s
Capacity1 GB
Compute Utilization50%

DensityAI

BandwidthSRAM-like
CapacityDRAM-like
Compute UtilizationTarget ≥ 90%

HBM-based GPUs win on capacity. SRAM dataflow wins on bandwidth. Neither covers the full range of production LLM inference at frontier scale.

Evaluated on auto-regressive decode.

SRAM system evaluated on a small size model.

our approach

Three layers of the stack,
designed together by

Die

Memory integrated directly into the compute stack. Bandwidth, capacity and compute live in the same place — no signals bouncing across a substrate, no unnecessary bottlenecks, no disaggregation penalty on the workloads the industry cares about.

Package

A single package tiles together multiple compute dies — memory and compute replicated across a large surface, wired edge-to-edge at full speed. Capacity, bandwidth, and FLOPs scale together.

System

Silicon, packaging, kernels, and serving all designed together as one system. Integration from compute organization to software architecture, all the way to inference serving.

Come build with us

Apply now

Our team has shipped supercomputing clusters, designed the silicon inside the world’s largest production inference engines, and built the cores inside hundreds of millions of devices.

We believe the path through the memory wall runs through memory placement, not around it. We’re building the architecture that proves it.

Open roles

Engineering (12)

Infrastructure / IT (2)

Finance (1)

Don’t see a role that fits? We’re always looking for exceptional people.

Send us your resume  →