Op range
−40 / +55 °C
Ruggedized Hardware — Edge Compute — AIRuggedized Edge
Ruggedized Edge
Data Centers + AI
SRRS designs and builds self-contained edge compute nodes — and the on-board AI that runs on them — for remote, contested, and bandwidth-constrained environments. Provision in days. Operate disconnected. Keep data sovereign.
Power
≤ 20 kW
Ingress
IP65
Backhaul
LEO · 5G · Fibre
DWG · SRRS-EN1 · REV A Live telemetry
Power
18.4 kW
Core temp
47 °C
Throughput
12.6 Gb/s
Inference
3.2k tok/s
The platform
One platform, four layers
From the sealed enclosure to the model running inside it, SRRS owns the full edge stack — so compute, connectivity, and intelligence arrive as one engineered system, not a parts list.
LAYER 01
Ruggedized hardware
Sealed, shock- and temperature-rated enclosures built to deploy and transport. Modular form factors from rackmount sleds to a 20-ft containerized node — every unit dust- and water-sealed and built to ship to site.
LAYER 02
Edge compute
Dense GPU and CPU compute with liquid-assisted cooling, engineered to run full-rate inference at the point where data is created — eliminating the round trip to a distant cloud and the latency, cost, and exposure that comes with it.
LAYER 03
Edge AI & software
On-node model inference, computer vision, and sensor fusion that keep running when the link drops. Models are placed close to the sensor, so the node makes decisions in real time and syncs results the moment connectivity returns.
LAYER 04
Remote operations
Provisioning, telemetry, and over-the-air updates across every deployed node from a single console — so a fleet spread across sites is monitored, patched, and sustained without a truck roll.
The node
SRRS-EN1
A self-contained edge compute node engineered for the field. Datacenter-class compute, integrated power and cooling, and multi-path connectivity inside one sealed, deployable enclosure — built to operate where conditioned power, cooling, and reliable bandwidth can't be assumed.
20 kW
Peak power envelope
−40/+55
Operating °C
IP65
Dust & water sealed
Days
Site to online
Reference configurationSRRS-EN1 · REV A
Compute
Up to 8× datacenter GPUs · 128 vCPU (scalable per workload)
Acceleration
Dense inference & fine-tuning · liquid-assisted thermal path
Memory
Up to 2 TB ECC system memory
Storage
Up to 240 TB NVMe · encrypted at rest
Power
3–20 kW · AC or DC input · integrated UPS & ride-through
Thermal
Operating −40 to +55 °C · sealed airflow, no outside air ingress
Ingress
IP65 — dust-tight, protected against water jets
Shock / vibe
MIL-STD-810 transit & operational profiles
Backhaul
LEO satellite · 5G / LTE · fibre — automatic failover
Form factor
3U rackmount · transit case · 10 / 20-ft container
Deploy time
Provisioned, staged, and online in days — not quarters
Edge AI
Intelligence that runs at the edge
AI isn't bolted on — it's the reason the node exists. Models run on the box, next to the sensor, and keep working through disconnection. Data is processed where it's created and stays inside your perimeter.
/01
On-node LLMs & agents
Language models and autonomous agents that run locally — domain Q&A, intelligent search, and decision support without sending data off-box.
/02
Computer vision
Real-time object detection, visual inspection, and OCR pipelines processed on the node — for inspection, surveillance, and operations.
/03
Sensor fusion & tracking
Fuse radar, EO/IR, and signal feeds into a single picture, with tracks computed at the edge and pushed only when it matters.
/04
DDIL-tolerant orchestration
Keeps inferring through denied, degraded, intermittent, and limited connectivity — queueing, prioritising, and reconciling state on reconnect.
/05
Data sovereignty
Data is captured, processed, and retained inside your perimeter. Nothing leaves the node unless you choose to send it.
/06
Predictive analytics
Forecasting, anomaly detection, and optimisation models that turn live operational telemetry into action on site.
In the field
Engineered for where it goes
The node is specified around the deployment, not the data hall. These are the environments it's built to operate in.
Maritime & offshore
Vessels, ports, and platforms — salt-fog sealed, deck-mountable, satellite-linked.
Border & defense
Forward sites and perimeters — disconnected-capable, hardened, sovereign by default.
Energy & mining
Rigs, grids, and remote pits — wide-temperature, dust-sealed, off-grid power tolerant.
Disaster response
Expeditionary and post-event — air-transportable, rapid-deploy, running within hours.
Critical infrastructure
Utilities, transport, and telecom — high-availability compute at the protected edge.
Operating model
From site survey to sustained ops
A repeatable path from the first conversation to a node that's online and supported. Senior engineers stay on the engagement end to end — no handoff to a junior bench.
01
Assess
We survey the site, workload, power, thermal envelope, and connectivity — and size the node to the mission, not a catalogue SKU.
02
Provision
The enclosure is configured, compute imaged, and models staged and validated in the lab before anything ships.
03
Deploy
We install on site, integrate with your sensors and systems, and validate end to end under operating conditions.
04
Operate
Remote monitoring, over-the-air updates, and sustainment keep the fleet current and supported through its life.
Company
Built for the AI & edge era
SRRS Advanced Intelligent Systems Private Limited is a Hyderabad-based engineering company building ruggedized edge infrastructure and the AI that runs on it — incorporated under the Ministry of Corporate Affairs in February 2025.
The conviction behind our name and our domain, srrs.ai, is simple: the most valuable compute is moving to the edge — onto vessels, sites, vehicles, and forward locations — and it has to be engineered for those conditions, not adapted from a data hall.
We pair depth in hardware engineering, edge systems, and machine learning with the agility of a focused, modern firm — bringing senior attention to every engagement and shipping working systems early.
Work with us →Registered entitySRRS A.I.S. Pvt. Ltd.
CIN
U62020TS2025PTC194761
Incorporated
27 February 2025
Reg. office
4th Floor, Shark House, Sy No. 192, Kondapur, K.V. Rangareddy, Telangana — 500 084
Activity
Computer programming, consultancy & related activities
2025
Founded
Hyderabad
Telangana, IN
srrs.ai
Official domain
Contact
Request a briefing
Exploring edge compute for a remote, contested, or bandwidth-constrained site? Tell us about the environment and the workload — we'll walk you through how the node would be specified.
Email
eswar@srrs.ai
Registered office
Shark House, Kondapur, Hyderabad, Telangana — 500 084
Web
srrs.ai