HyperCIM’s LPU delivers real-time, multi-database connectivity at memory speed – ready for AI, analytics, and enterprise workloads.

Highlights

14.8 TB/s · µs-Class Latency

Acceleration without compromise.

Zero Disruption

No changes to customer-facing code. Works with databases, streaming, and analytics pipelines.

Seamless AI Integration

From raw data to model pipelines. Cleaned, transformed, and offloaded directly to GPUs.

Plug-and-Play Deployment

Developed with PCIe & Ethernet for connectivity, drop it into existing workflows

The End of Data Stalling

AI is bottlenecked by data, not compute. GPUs sit idle up to 80% of the time, stalled waiting for data to load. In real-time workloads, the problem is exacerbated as raw data must be cleaned and transformed before loading into AI engines.
This gap cripples the next wave of AI, where generative and agentic models demand dynamic, real-time streams.
HyperCIM’s LPU eliminates this bottleneck by ingesting and transforming data at memory speed, delivering AI-ready output with microsecond latency, delivering the foundation for autonomous, real-time intelligence.

Legacy CPU/GPU - ETL is Sequential

Extract (CPU)

Transform (CPU)

Load (CPU-> GPU

Inference (GPU)

Inference/ training starts here

Traditional Compute-in-Memory - ETL is unchanged

Extract (CPU)

Transform (CPU)

Load (CPU-> GPU

Inference (GPU)

Inference/ training starts here

Hypercim LPU technology - compressed ETL, faster

ETL CPU (Orchestration) + LPU (Memory-Bound Compute; In-Memory ETL)

Load (CPU-> GPU

Inference (GPU)

Inference (CIM

Inference/ training starts here

  • Load and preprocess data from multiple databases at memory speed.
  • Deliver results directly into live systems without added latency.
  • Works alongside your CPUs, GPUs, and AI hardware.

Next-Gen Compute for Workloads That Don’t Wait

Our LPU is running today on prototype with early adopters

Join our Co-Development Program to accelerate your workloads now, fine-tune performance for your data pipelines, and help shape the silicon that will power the next generation of AI and analytics.

Built for Every Data-Intensive Industry

Wherever real-time decisions depend on massive, multi-source data, the LPU removes the bottlenecks.

Financial Services

Execute arbitrage strategies 100× faster by unifying market data feeds in real time.

Why It Matters : Latency under 1µs unlocks trading opportunities GPUs can’t see.

E-Commerce & Retail

Personalise customer journeys in milliseconds by fusing purchase history, clickstream, and inventory data.

Why It Matters: Faster recommendations drive higher conversion rates and basket sizes.

Telecommunications & IoT

Ingest and analyse millions of telemetry events per second for network optimisation and anomaly detection.

Why It Matters: Real-time insight reduces downtime and improves customer experience.

Hyperscalers & Cloud Platforms

Serve 10M+ AI agents concurrently by merging Redis, Postgres, and Kafka at line rate.

Why It Matters: Cut cloud costs 40% by eliminating redundant data movement.

Streaming & Media

Synchronise content delivery, recommendations, and ad targeting across multiple live data feeds.

Why It Matters: Maximises engagement while keeping infrastructure costs predictable.

Not Just Faster - Fundamentally Different

The LPU abandons the von Neumann bottleneck. Instead of shuttling data between compute and memory, it integrates processing inside the memory fabric.

This enables parallel ingestion from multiple databases, instant in-transit transformation, and deterministic sub-10ns latency – even at petabyte scale.

Not Just Faster - Fundamentally Different

Feature CPU GPU LPU (HyperCIM)
Latency Baseline ~10× lower ~100× lower
Data Integration Effort High High Zero-code
Multi-DB Ingestion Sequential Partial Parallel
AI Readiness Needs ETL Needs ETL Direct
Throughput Low Medium Extremely High

Be Part of the Next Compute Revolution

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