LOCI Agentic AI - The First Hardware-Aware Optimization Agent for GPUs & CPUs

Predict. Decide. Deliver.

LOCI Agentic AI predicts power spikes and performance inefficiencies before test or inference. It optimizes code, configs, and serving — autonomously.

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How LOCI Helps

By predicting hot spots before test or inference and optimizing at the opcode/basic-block level, LOCI reduces excess server provisioning, smooths power spikes, and delivers more throughput per watt.

Predictive Analysis

Forecast performance issues before they impact production systems

Opcode-Level Optimization

Deep hardware understanding enables precise efficiency improvements

Power Efficiency

Maximize throughput per watt while reducing infrastructure costs

LOCI Core Capabilities

Pre-test insight

Predict hotspots, thermal spikes, and bottlenecks before execution.

CI/CD integration

Optimize batching, tune serving layers, and simulate workloads.

Runtime resilience (RAS)

Dynamic power recommendations and reliability trade-offs.

Hardware-dialect aware LCLM

Understands CPUs & GPUs at the opcode level.

Evidence-based

Every change is re-measured, validated, and tracked.

Our Partners

Use Cases

Timing & response time

Reduce P95/P99 spikes before deployment.

Bottleneck analysis

Identify hot paths and stalls across serving layers and kernels.

Worst-case execution path

Flag tail-heavy basic blocks pre-release; visualize basic block energy spikes.

Power spikes

Forecast & smooth GPU/CPU power under load; manage thermals.

Power-per-basic-block optimization

Instruction-level efficiency guided by LCLM.

LLM serving

Token budgeting, KV cache, smart batching; tokens throughput metric.

Vision / Edge

Kernel fusion, memory layout; thermal guard-banding.

Training

Step-time variance, data loader stalls, gradient hotspots.

About Aurora Labs

Aurora Labs is a domain expert in ML, NLP, and model tuning, pioneering data-driven innovation since 2017, developing a proprietary vertical large language model (LLM) known as Large Code Language Model (LCLM). This LCLM specializes in comprehensive system workload analysis focusing on power and performance for observability and reliability, accelerating the development of embedded systems, AI, and Data Center infrastructures.

Founded in 2016, Aurora Labs has raised $97m and has been granted 100+ patents. Aurora Labs is headquartered in Tel Aviv, Israel, with offices in the US, Germany, North Macedonia, and Japan.

For more information: www.auroralabs.com

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how LOCI can help your team optimize software performance.

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