R RIX TECH LABS
Vishal SrivastavaFounder — RIX Tech Labs
Early Access ↗
AI INFRASTRUCTURE INTELLIGENCE

See the system.
Understand the signal.

RIX is building an intelligence layer for the infrastructure behind modern engineering — HPC, GPU, EDA and large-scale Linux.

HPCGPUEDALINUXAIOps
RIX / SYSTEM INTELLIGENCE LIVE CONCEPT
CLUSTER HEALTH98.7%stable
GPU UTILIZATION87%+4.2%
ACTIVE WORKLOADS3,842across compute
COMPUTE SIGNAL / 24H●
00:0012:0024:00
AI OPERATIONS INSIGHT
INVESTIGATE

Potential GPU performance anomaly

Thermal, workload and node signals are diverging from the expected operating pattern.

Root-cause path available→
COMPLEX COMPUTE×OPERATIONAL CONTEXT×AI REASONING×ACTIONABLE INTELLIGENCE
01 / THE PLATFORM

One intelligence layer.
Every signal connected.

RIX is designed to sit above the infrastructure stack — connecting telemetry, workload context and operational knowledge so teams can move from isolated metrics to a coherent picture of what is happening.

INPUTS
LINUX
HPC
GPU
STORAGE
NETWORK
EDA
RIX ENGINE
RIX INTELLIGENCE ENGINECorrelate · Reason · Predict
OUTCOMES
VISIBILITY
ROOT CAUSE
PREDICTION
OPTIMIZATION
02 / INTELLIGENCE

Monitoring tells you
what changed.

RIX is designed to help answer why, what is connected to it, and where to investigate first.

TRADITIONAL MONITORING

“GPU utilization is high.”

“Node is unhealthy.”

“Queue latency increased.”

“Storage is nearing capacity.”

→
RIX INTELLIGENCE

“The system context changed.”

Correlate scheduler behavior, workload placement, thermal signals and node telemetry.

Surface probable causes and the next investigation path.

03 / CAPABILITIES

Built for infrastructure
that cannot be simple.

Six intelligence layers for teams operating demanding compute environments.

01

Unified Visibility

Connect compute, memory, storage, network, schedulers and applications into one operational view.

02

AI Root-Cause Analysis

Correlate signals and incidents to move from alert overload toward probable causes.

03

Predictive Operations

Surface abnormal behavior and capacity risks before they become expensive incidents.

04

HPC Intelligence

Understand queues, scheduling efficiency, utilization, node health and workload behavior.

05

EDA Intelligence

Give semiconductor teams context across compute, storage, licensing and workload performance.

06

Intelligent Optimization

Turn observations into recommendations for capacity, workload placement and infrastructure efficiency.

04 / ARCHITECTURE

Connect. Correlate.
Reason. Optimize.

01CONNECT

Data Sources

Linux · HPC schedulers · GPU · Storage · Network · EDA · Applications

02CORRELATE

Telemetry Layer

Metrics · logs · events · jobs · infrastructure metadata

03REASON

RIX Intelligence

Anomaly detection · correlation · AI reasoning · predictive analysis

04OPTIMIZE

Operations

Insights · recommendations · alerts · reports · automation

05 / ENVIRONMENTS

Designed around the places
where compute gets expensive.

SEMICONDUCTOR

EDA infrastructure

High-value compute, storage and licensing environments where workload performance matters.

HPC

Cluster operations

Visibility into utilization, queues, scheduling, capacity and node reliability.

AI / GPU

Accelerated infrastructure

Operational context for costly accelerator fleets and distributed workloads.

ENTERPRISE

Large-scale Linux

Turn fragmented infrastructure telemetry into a usable operating picture.

06 / COMPANY

Built by Vishal Srivastava.

RIX Tech Labs is being built around a simple idea: the infrastructure powering modern engineering has become too complex to operate through disconnected dashboards and manual investigation alone.

Vishal SrivastavaFounder — RIX Tech Labs
VS
FOUNDERVishal Srivastava

RIX Tech Labs

07 / EARLY ACCESS

Let's make complex infrastructure understandable.

Tell us what you operate. We'll start with the environment, the problems and the signals that matter.