Fine-tuning an open-weight LLM — Llama 3.3 70B, Mixtral 8x22B, DeepSeek-V3, Qwen 3 — is no longer a research-lab problem. It's a procurement decision. AWS will sell you a p5.48xlarge with 8×H100 SXM and...
Join the iFactory team at SAP Sapphire Orlando to design your factory-ready AI architecture on SAP S/4HANA—from predictive maintenance and quality inspection to production optimization. Evaluate AWS p5, p4d, Trainium, on-prem RTX PRO 6000, or hybrid setups based on real manufacturing workloads. Walk in with your plant use cases and S/4HANA setup; walk out with a costed, execution-ready AI roadmap for your factory (2026–2028).
Discover how to deploy a fully private AI agent — powered by NVIDIA DGX — that queries and automates your SAP ECC or S/4HANA data without ever leaving your data center. No cloud dependency. No vendor lock-in. Total data sovereignty.
SAP Joule lives in the cloud. Your critical data lives on-premise. iFactory bridges the gap.
Bi-directional sync between SAP & AI layer — on-prem or cloud
Every use case runs on-prem through SAP — with real KPIs from pilot deployments. No cloud. Full data sovereignty.
AI monitors every stage — raw material intake to packing. Predicts failures, optimises kiln efficiency, and automates SAP workflows in real time. Two live pilot deployments running today with measurable KPIs.
142 IoT flow sensors monitor water across grinding, cooling, mixing and dust suppression. AI detects anomalies in 2-second intervals. 100% ZLD achieved. Real-time process dashboards auto-sync with SAP. 18.2% cost savings achieved in pilot.
Continuous CEMS monitoring for NOx, SO2, CO and dust. AI predicts exceedances 2 hours ahead and recommends corrective actions. Auto-generates CPCB/SPCB regulatory compliance reports directly from SAP transaction data.
AI monitors kiln temperature, feed rate, fuel blend and clinker quality in real-time. Predicts thermal upsets 30 min ahead. Auto-adjusts setpoints via SAP PP. Reduces specific heat consumption by 3–5%.
Vibration + thermal sensors on belt drives predict bearing failures and belt misalignment. Auto-creates SAP PM work orders 2–4 weeks before breakdown. Tracks belt wear patterns across shifts to prevent costly stoppages.
AI optimises limestone, clay, iron ore and alternative fuel mix for target clinker chemistry. Reads SAP MM inventory + QM lab data to recommend cost-optimal blend per shift. Reduces expensive raw material waste.
Predicts cement compressive strength at 1, 3, 7, 28 days from raw mix and kiln params. Flags at-risk batches before packing. Results auto-logged in SAP QM inspection lots. Eliminates costly rework and customer complaints.
AI vision detects surface defects at line speed (<100ms), predictive maintenance prevents catastrophic failures on 400+ assets, and furnace optimisation cuts energy cost per ton — all feeding SAP automatically.
Inspects hot-rolled coil, cold-rolled sheet and bar surfaces at line speed. Detects holes, cracks, scratches, porosity and delamination in <100ms. Every defect auto-logged in SAP QM with annotated images. Zero manual re-inspection needed.
Vibration sensors + thermal imaging on 400+ critical assets. AI correlates 3 years of SAP PM history with live feeds to predict failures 3–6 weeks ahead. Auto-creates work orders and triggers spare parts procurement via SAP MM.
AI correlates furnace temperature profiles, charge composition and energy consumption to optimise melt quality. Reduces energy per ton by 8–12%. Electrode consumption minimised. Results auto-posted to SAP CO cost centres.
AI tracks ladle heat cycles, wear patterns and lining degradation. Predicts optimal relining schedules and prevents catastrophic ladle failures. Integrated with SAP PM for automated scheduling and FI cost capture.
AI vision classifies scrap grades at yard entry. Optimises scrap mix for target melt chemistry and reduces premium scrap usage by up to 15%. Connects to SAP MM purchase orders and yard inventory in real time.
Real-time sensors at baghouses and dedusting systems detect anomalies. AI predicts filter bag failures 2 weeks ahead. Auto-generates CPCB/SPCB environmental compliance reports from SAP transaction data.
AI keeps turbines, boilers and transformers at peak efficiency — predicting failures before unplanned outages and automating CEA/CERC compliance documentation directly from SAP.
Vibration, bearing temp, blade tip clearance and lube oil sensors on steam and gas turbines. AI detects early rotor imbalance, blade fouling and seal degradation. Auto-creates SAP PM maintenance orders 6–8 weeks before failure.
AI optimises excess air ratio, fuel feed rate and burner tilt in real time. Monitors tube metal temperatures to prevent overheating. Improves heat rate by up to 2%. Fuel cost auto-posted to SAP CO cost centres.
Continuous DGA (dissolved gas analysis) monitors transformer health. AI detects incipient faults — partial discharge, hot spots — weeks before failure. Critical for grid reliability and CERC compliance reporting.
AI tracks coal stacking, reclaiming and quality at every conveyor transfer point. Detects spontaneous combustion risk via thermal imaging. Auto-raises SAP MM purchase orders when stock drops below dynamic threshold.
AI optimises daily generation schedules against fuel cost, grid demand and outage windows. Merit-order dispatch recommendations fed into SAP PP production planning. Reduces fuel cost per MWh by 4–7% vs manual scheduling.
AI agents scan SAP PM, CO and sensor data to auto-generate CEA, CERC and MoEFCC compliance reports. Flags deviations in real time. Audit-ready documentation created in minutes — not days — from live SAP transactions.
AI continuously monitors SAP transactions for regulatory compliance, automates audit documentation, and predicts quality deviations before they impact batch release or regulatory submissions.
AI agents scan SAP QM, PP and MM transactions against FDA 21 CFR Part 11, EU GMP Annex 11 and internal SOPs. Auto-generates CAPA records and audit-ready documentation in minutes. 90% reduction in audit prep time.
AI vision inspects blister packs, vial labels, fill levels and seal integrity at line speed. Every reject auto-logged in SAP QM with annotated images. Zero false rejects with NVIDIA DGX on-prem inference — no cloud dependency.
IoT sensors track temperature, humidity, pressure differentials and particle counts across clean rooms. AI flags deviations before they breach thresholds. Auto-alerts via SAP notifications. Full EU GMP Grade A–D coverage.
AI auto-populates electronic batch records from SAP PP process orders, QM results and equipment logs. Flags missing or out-of-spec entries in real time. Reduces batch release cycle from 5 days to same-day in pilot.
End-to-end temperature monitoring from manufacture to dispatch. AI detects cold-chain excursions and auto-triggers quarantine in SAP QM. Serialisation data verified against SAP SD and GS1 standards for export compliance.
AI integrates NIR, Raman and in-line HPLC data with SAP QM. Real-time release testing replaces end-of-batch lab testing. Predicts API content and blend uniformity during granulation and compression stages.
AI monitors compressors, pipelines and refinery units continuously — reducing HSE incidents, preventing equipment failures and automating OISD and PNGRB regulatory reporting through SAP.
Continuous vibration, flow and lube oil analysis on critical reciprocating and centrifugal compressors. AI predicts valve, seal and bearing failures 4–8 weeks out. Auto-creates SAP PM orders and triggers spare parts from MM warehouse.
Real-time pressure, flow and acoustic sensors along pipelines. AI detects micro-leaks and anomalies within seconds. Pinpoints location within 50m. Auto-raises SAP PM emergency work orders and EHS incident reports instantly.
AI monitors gas detectors, CCTV and access control for HSE compliance. Validates permit-to-work conditions in real time. Auto-blocks conflicting work permits via SAP PM. Reduces confined space and hot-work incidents by 67%.
AI optimises CDU, VDU and hydrotreater operations — feed rate, temperature, pressure and cut points — to maximise high-value product yield. Real-time LP model updates feed SAP PP production planning for daily scheduling.
AI monitors crude and product tank levels, temperatures and vapour pressures in real time. Predicts overfill and rundown risks. Reconciles physical inventory with SAP MM tank management. Automates custody transfer documentation.
AI agents scan SAP PM, EHS and process data to auto-generate OISD-113, OISD-116 and PNGRB inspection compliance reports. Flags open action items in real time. Audit trail maintained automatically from live SAP transactions.
AI keeps high-speed FMCG lines running at peak OEE — detecting packaging defects in milliseconds, preventing line stoppages and automating demand-driven replenishment through SAP.
Inspects label placement, print quality, fill levels, seal integrity and date codes at 600+ units/min. Detects deformed caps, missing labels and foreign bodies. Every reject auto-logged in SAP QM with image evidence. No cloud. On-prem DGX inference.
AI reads SAP SD sales history, POS data, weather and promotions to generate 48-hr demand forecasts. Auto-adjusts SAP PP production orders and MM replenishment. Reduces stockouts by 28% and overstock write-offs by 19%.
AI recommends optimal SKU sequencing to minimise changeover time across packaging lines. Reduces average changeover from 45 min to 18 min. Digital checklists connected to SAP PP orders. Changeover completion verified by AI vision before restart.
IoT temperature loggers in cold rooms, trucks and retail chains stream data every 30 sec. AI detects excursions instantly. Auto-raises SAP QM usage decisions and SD delivery blocks. Generates FSMA and FSSAI compliance reports automatically.
AI monitors raw material usage vs standard recipes in SAP PP. Flags yield deviations above 0.5% in real time. Identifies root causes — overfill, trim waste, rework — per shift. Auto-updates SAP CO actual vs standard cost variance reports.
AI analyses SAP SD distributor sales-out data and trade promotion spend to compute real ROI per scheme. Predicts sell-through per territory. Auto-flags negative-ROI schemes before budget approval in SAP FI — saving millions in wasted spend.
The entire AI brain runs on NVIDIA DGX in your data center. No cloud, no subscriptions, no per-query bills. Your data never leaves your building. Also deploys on AWS, Azure, GCP VPC.
A live virtual replica of your factory fed by SAP PP/PM and IoT sensors. Simulate shift changes, equipment swaps, and line reconfigurations — before committing real resources.
Vibration, temperature, pressure, and flow sensors feed directly into SAP PM — triggering AI alerts before humans notice a problem.
| Sensor | Reading | Threshold | Alert |
|---|---|---|---|
| VIB-C14 | 8.2 mm/s | 6.0 | Critical |
| TMP-P07 | 94°C | 85°C | Overdue |
| PRS-B03 | 4.1 bar | 5.0 | Normal |
| FLW-T01 | 120 L/m | 100 | Inspect |
| VIB-M22 | 3.1 mm/s | 6.0 | OK |
AWS is where most SAP workloads already run. iFactory turns that infrastructure into a working SAP AI system — connecting Bedrock, SageMaker, and Trainium to your ECC/S/4HANA through pre-built connectors that eliminate months of custom integration.
Trainium + Graviton: $10B+ annual revenue, triple-digit YoY growth. Trainium3 UltraServers (GA 2026): 4.4x compute, 4x energy efficiency. Bedrock: 100K+ companies. AgentCore: Runtime, Identity, Memory, Policy, Evaluations — the building blocks for Manufacturing AI agents. iFactory is the SAP layer that makes all this work with your plant floor.
iFactory deploys SAP-aware AI agents on Bedrock with AgentCore's full stack: Runtime for secure execution, Identity for SAP role-based access, Memory so agents learn from past SAP interactions, Policy to block unauthorized SAP transactions, and Evaluations to monitor copilot accuracy. RAG grounding on your SAP data via Bedrock Knowledge Bases.
iFactory trains predictive maintenance and quality models on HyperPod clusters using your SAP PM work order history + real-time sensor data. Fault-tolerant distributed training keeps jobs running even when nodes fail. Checkpointless elastic training auto-scales GPU allocation. Optimized inference recommendations auto-tune deployment for lowest latency.
SAP proved the economics: LLM training in 2 days on Trainium vs 23 days on standard EC2. Trainium3 (GA 2026) delivers another 4.4x compute boost. iFactory uses this for training domain-specific SAP models — maintenance failure prediction, energy optimization, quality scoring — at a fraction of GPU cost.
For customers who need AWS APIs but can't send data to the cloud: AWS AI Factories deploy fully managed AI infrastructure in your data center. iFactory pre-configures SAP connectors on these local stacks. Direct Connect provides dedicated private links to on-prem SAP at up to 400Gbps — sub-10ms latency for real-time copilot queries.
Without iFactory, you have GPU compute and a model catalog. With iFactory, you have a working SAP copilot that queries PM data, creates work orders, scores quality, detects defects, and generates compliance reports — deployed in 8–12 weeks, not 18 months of custom ABAP and middleware.
You can buy a DGX server. But NVIDIA doesn't build SAP connectors, train models on your PM history, or wire AI vision to SAP QM. That's what iFactory does. We turn DGX hardware into a working SAP AI copilot — in 8–12 weeks, not 18 months of custom development.
| Capability | DGX Alone | DGX + iFactory |
|---|---|---|
| SAP PM/QM/MM connectors | Pre-built | |
| AI copilot for SAP | Ready | |
| AI vision → SAP QM | Wired | |
| Predictive models on PM data | Trained | |
| Digital twin + SAP PP | Live | |
| Go-live timeline | 12–18 months | 8–12 weeks |
| Custom ABAP needed | Extensive | Zero |
NVIDIA provides the AI stack. iFactory provides the SAP brain on top — pre-built connectors, trained models, copilot interface, vision pipeline, and compliance engine. That's why you need both.
We don't just sell software. We deploy working SAP AI systems — with pre-built connectors, trained models, and proven results.
Pre-built connectors for SAP ECC, S/4HANA, NetWeaver, PM, QM, MM, PP, FI/CO, HR, SD, SRM. Legacy ABAP logic ported automatically. Full xMII replacement capability. Two-way real-time sync proven at scale — no custom ABAP needed.
iFactory is purpose-built for NVIDIA DGX infrastructure. NeMo for LLM training, RAPIDS for data science, NIM for inference, Agent Toolkit for agentic workflows — all pre-integrated with our SAP connectors and deployed as a turnkey package.
Not 18 months. Our proven deployment methodology gets SAP AI live in 8–12 weeks. AI vision stations in 14 days. 80% faster implementation than traditional MES solutions. Includes hardware, software, integration, training, and ongoing support.
Joule requires RISE/GROW cloud contracts and only works on S/4HANA Cloud. iFactory runs on your existing SAP ECC or on-prem S/4HANA with zero cloud dependency. You get the same AI copilot capabilities — plus AI vision, digital twins, smart sensors, and energy optimization that Joule doesn't offer.
PM (maintenance), QM (quality), MM (materials), PP (production), FI/CO (finance), HR, and SD (sales). Integration through BAPI, RFC, OData, IDOCs, and REST — no custom ABAP development needed. Works with ECC 6.0, R/3, S/4HANA on-prem, and Private Cloud.
NVIDIA DGX Spark (from $4,699) for small-to-mid enterprises, DGX B200 for mid-large scale, DGX SuperPOD for global deployments. AI vision runs on NVIDIA Jetson or L4 GPUs at the edge. Also deploys on AWS EC2, Azure ND, or GCP A3 instances in your VPC.
Yes. iFactory supports existing IP cameras via ONVIF and RTSP protocols alongside industrial cameras with Sony IMX sensors. Also integrates with Cognex, Keyence, Basler, and FLIR systems. Edge AI processing runs locally — sub-100ms inference, no cloud required.
The digital twin reads SAP PP production orders, routings, and BOM data combined with real-time IoT sensor feeds to build a live virtual replica of your plant. You can simulate changeovers, capacity changes, and layout modifications before touching the live line. Results feed back into SAP CO for financial impact analysis.
Yes. The entire stack — DGX hardware, NeMo models, RAPIDS analytics, NIM inference — runs fully offline with zero external API calls. Designed for defense, pharma, and regulated industries that require complete network isolation.
Full platform: 8–12 weeks including hardware installation, SAP connector configuration, model fine-tuning, and user training. AI vision stations can be live in 14 days. Turnkey package with ongoing support and model updates.
GDPR, HIPAA, EU AI Act (August 2026), FDA 21 CFR Part 11, EU GMP Annex 11, ISO 27001, ISO 14001, ISO 50001, SOC 2 Type II, DORA, and OSHA. Auto-generates audit trails and compliance documentation directly from SAP transaction data.
AI Vision + Predictive Maintenance + Digital Twin + Compliance + Energy + Smart Sensors. All on-prem, all through SAP. 8–12 weeks to production.
NVIDIA DGX Partner · SAP Certified Integration · ifactoryapp.com