Bridging the gap between conceptual AI models and production enterprise deployments. We provide turnkey GPU compute clusters, air-gapped sovereign RAG pipelines, lossless 400G InfiniBand networking, and executive AI advisory.
From silicon-level GPU interconnects to production autonomous agent swarms, Iris Waves engineers every tier of your AI infrastructure for high availability, sovereign privacy, and maximum compute utilization.
Deploy localized open-weights models (Llama 3.3, Mistral Large, DeepSeek, Nemotron) with distributed LoRA and full-parameter fine-tuning, hosted entirely within your physical datacenter perimeter.
Synthesize structured ERP/CRM data and unstructured documents into unified high-dimensional vector embeddings with reciprocal rank fusion (RRF) and sub-10ms semantic retrieval.
Turnkey 8-way GPU compute server architectures powered by NVIDIA HGX H100, H200, and Blackwell B200 platforms. Engineered for continuous tensor load and low PUE thermal efficiency.
Eliminate inter-node communication bottlenecks during distributed all-reduce gradient exchanges. We architect non-blocking fat-tree spine-leaf fabrics delivering deterministic sub-microsecond latency.
Feed hungry tensor cores without CPU bottlenecks. We integrate high-throughput all-flash NVMe parallel file systems with GPUDirect Storage (GDS) for instantaneous checkpointing and continuous token streaming.
Led by Ex-Microsoft & industry AI evangelists, our advisory practice assists executive boards with compute sizing, ROI modeling, Kubernetes/Slurm scheduling, and India DPDP Act 2023 compliance.
A modular, zero-lock-in reference architecture engineered to balance maximum throughput, deterministic low latency, and 100% sovereign data containment.
End-user intelligence surfaces, role-governed autonomous agents, real-time factory vision telemetry, and executive search copilots interacting through secured enterprise APIs.
High-concurrency inference orchestration with continuous token batching, speculative decoding, dynamic KV-cache management, automated PII redaction, and semantic output verification.
Real-time ingestion pipelines converting unstructured documents, ERP databases, and Kafka streams into high-dimensional vector representations with strict tenant isolation and NVMe-oF throughput.
Bare-metal physical silicon featuring 8-way GPU servers connected via NVLink and 400G InfiniBand fabrics, supported by rear-door heat exchangers (RDHx) and high-density 3-phase power delivery.
Production-certified server, interconnect, and storage platforms deployed and supported by Iris Waves engineers across India.
| Domain | Certified OEM Architecture | Technical Specifications | Target Enterprise Workload |
|---|---|---|---|
| GPU Compute Dell Technologies |
PowerEdge XE9680 High-Density 8-Way AI Server (6U) |
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Distributed large model pre-training, complex multi-modal fine-tuning, and high-concurrency enterprise RAG serving. |
| GPU Compute Cisco Systems |
Cisco UCS C885A M8 Accelerated Rack Server |
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Mission-critical enterprise AI deployments demanding native integration with Cisco ACI networking and UCS management. |
| Interconnect NVIDIA Networking |
Quantum-2 QM9700 400Gb/s NDR InfiniBand Switch (1U) |
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Non-blocking inter-node GPU cluster clustering with zero packet drop for multi-node all-reduce and tensor parallelism. |
| Parallel Storage Pure Storage |
FlashBlade//S500 DirectFlash Scale-Out Storage |
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Continuous token feeding to GPU memory without CPU stalls, instantaneous checkpoint saves, and unstructured dataset repositories. |
| Thermal Core Vertiv / CoolIT |
Liebert DCD & D2C Rear-Door Heat Exchanger & Liquid Loop |
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High-density AI server deployment in enterprise facilities without requiring expensive raised-floor structural overhaul. |
Iris Waves utilizes a proven, milestone-driven framework that de-risks enterprise AI deployments, validates ROI early, and guarantees zero operational disruption.
Our principal architects audit your target use cases, concurrent token volumes, context window limits, and datacenter rack kW capacity to model exact compute requirements.
We design the non-blocking spine-leaf network topology, test RAG pipeline accuracy on Iris Waves testbed GPUs, and validate sovereign data privacy and guardrail controls.
Factory integration of server nodes, optical InfiniBand cabling, PDU balance validation, liquid cooling loop pressure testing, and burn-in GPU diagnostic stress testing.
Provisioning Kubernetes and Slurm schedulers, vLLM inference endpoints, role-based access control, and continuous monitoring via Iris Waves 24/7 Enterprise NOC with 4-hour SLA.
Discover how leading Indian and global enterprises achieve operational agility, lower costs, and guaranteed data sovereignty with Iris Waves AI infrastructure.
Deployed dual Dell PowerEdge XE9680 clusters running localized fine-tuned LLMs to cross-reference multi-million daily transaction streams against SEBI & RBI compliance mandates, with zero data crossing the bank's firewall.
Iris Waves deployed edge AI inference servers directly on the factory floor for a major automotive parts manufacturer, analyzing sensor telemetry and high-speed vision to predict machinery failures 72 hours before breakdown.
Sub-second radiological segmentation and clinical report drafting running on private GPU nodes compliant with DISHA and HIPAA frameworks. Zero patient PHI transmitted to external cloud APIs.
Localized citizen portal RAG agent capable of indexing government gazettes across 14 official Indian languages, operating on an isolated sovereign on-premise compute cluster.
Why sustained enterprise AI workloads achieve up to 42% lower 3-year Total Cost of Ownership on dedicated on-premise infrastructure.
| Evaluation Metric | Public Hyperscaler GPU Cloud | Iris Waves On-Premise AI Appliance |
|---|---|---|
| Compute Cost Predictability | Variable hourly rates with spot instance preemption, dynamic surcharges, and costly data egress fees. | Fixed, 100% predictable CapEx or OpEx leasing. Zero data transfer or egress charges. |
| Data Sovereignty & IP Protection | Shared multi-tenant public infrastructure subject to foreign jurisdictions and telemetry scraping. | 100% air-gapped within your facility. Zero corporate IP leaves your perimeter. Full DPDP 2023 compliance. |
| Network Latency & Jitter | Virtualized software networking overlays with noisy-neighbor packet jitter during distributed all-reduce runs. | Dedicated 400G non-blocking InfiniBand with sub-130ns latency and zero packet drop. |
| Inference Latency (Edge / LAN) | 40ms - 150ms round-trip latency over public WAN connections, unsuited for real-time automation. | Sub-millisecond (< 2ms) local LAN response times for high-speed industrial workflows. |
| 3-Year Cumulative TCO | Escalates rapidly as token query volumes and model context lengths scale across enterprise users. | Amortized hardware delivers 35% - 42% net cost reduction compared to equivalent cloud instances. |
Direct answers to core questions regarding sizing, power density, model air-gapping, and day-2 cluster operations.
We deploy 100% open-weights and private foundational models directly onto physical bare-metal servers inside your firewall. The inference engines (vLLM / Triton) operate without internet access. All weights, vector embeddings, and cached prompts reside exclusively on encrypted local NVMe storage with hardware-level HSM key management.
An 8-GPU chassis like the Dell PowerEdge XE9680 draws up to 10.2 kW of power. A high-density rack housing two GPU nodes, InfiniBand switches, and all-flash storage requires 25kW to 40kW. We engineer tailored cooling solutions, utilizing rear-door heat exchangers (RDHx) or direct-to-chip liquid cooling loops to maintain PUE below 1.2 without requiring complete datacenter facility redesign.
Yes. We implement NVIDIA Multi-Instance GPU (MIG) partitioning and dynamic workload schedulers such as Run:ai and Slurm on Kubernetes. This enables fractional GPU allocation for lightweight RAG queries during business hours while dynamically aggregating all 8 GPUs with full NVLink bandwidth for distributed fine-tuning runs during off-peak windows.
All Iris Waves deployments include enterprise SLA contracts backed directly by Dell, Cisco, and NVIDIA. Our 24/7 Enterprise NOC actively monitors GPU thermal telemetry, memory ECC error rates, and InfiniBand optical power levels. In the event of a degraded component, our certified engineers execute 4-hour on-site replacement with zero data loss.
Connect directly with our Principal AI Solution Architects. We will analyze your workload concurrency, calculate token throughput requirements, model your thermal PUE footprint, and design a turnkey, zero-lock-in reference architecture.