Design and deploy private AI infrastructure for enterprise workloads, from NVIDIA GPU platforms and Kubernetes to model serving and production inference.
Benefits With Our Service
- Private & Secure AI
- GPU Infrastructure Expertise
- Production-Ready Platforms
- Air-Gapped Environments
- Open Source AI Stack
- End-to-End Delivery
Octopus combines deep understanding in infrastructure, Kubernetes, open-source and GPU expertise to build AI platforms, token factories and ETL AI based services designed for production.
We help organizations move from individual GPU servers and AI experiments to reliable, scalable infrastructure for model inference, development and enterprise AI applications. Our solutions can be deployed on-premises, in private cloud environments, or completely disconnected from the public cloud.
From architecture and sizing through deployment, integration and ongoing support, our engineers work across the complete AI infrastructure stack.
From GPUs to Production AI
Deploying GPUs is only the first step. A production AI platform requires the right combination of compute, networking, storage, orchestration, model serving, observability and security.
Octopus designs the complete infrastructure around the workload. We help select and size GPU resources, deploy Kubernetes and OpenShift environments, integrate model serving platforms, and optimize inference for performance, availability and GPU utilization.
Our experience with complex enterprise and disconnected environments allows us to build AI infrastructure where security, data sovereignty and operational control are critical.
- Certified NVIDIA Partner
- Premier Red Hat Partner
- Kubernetes Experts
- vLLM
- NVIDIA Dynamo
- KServe
- Open Source Models
- LiteLLM
- RoCEv2
Private AI infrastructure allows organizations to run AI models and applications on infrastructure they control, rather than relying entirely on public AI services. It provides greater control over data, security, performance, cost and model selection.
Yes. We design and deploy AI platforms on-premises and in private cloud environments, including GPU compute, networking, storage, Kubernetes or OpenShift, model serving and the supporting infrastructure required for production workloads.
Yes. Octopus has extensive experience deploying complex infrastructure in disconnected and restricted environments. We can design AI platforms that operate without dependency on public cloud services or external AI APIs.
We build open and flexible platforms capable of serving a wide range of enterprise and open-source models. Our solutions can include technologies such as vLLM, KServe and NVIDIA inference technologies running on Kubernetes or Red Hat OpenShift.
Yes. We analyze model requirements, expected workloads, context sizes, concurrency and performance targets to determine the appropriate GPU, memory, networking and storage architecture.
Yes. Octopus provides ongoing professional services and production support for the infrastructure and platforms we deploy, including troubleshooting, optimization, upgrades and capacity planning.
What We Deliver
GPU Infrastructure
Architecture and deployment of NVIDIA GPU compute platforms.
AI Platform
Kubernetes and OpenShift environments built for AI workloads.
Model Serving
Production inference platforms for open and enterprise models.
Performance Optimization
GPU utilization, throughput, latency and workload optimization.
Private & Air-Gapped AI
AI environments designed for sensitive and disconnected networks.
Operations & Support
Monitoring, upgrades, troubleshooting and ongoing platform support.