Run AI on
Your Terms
From personal AI workstations to data center-scale GPU clusters — we configure and deploy NVIDIA's most powerful AI hardware, backed by the software expertise to put it to work for your business.
Every business will run AI.
The question is when — and on what.
AI is no longer optional
Companies across every industry are using AI to automate workflows, analyze data, generate content, and build smarter products. The businesses that adopt AI early gain a compounding advantage — and the ones that wait get left behind.
Cloud AI has limits
Cloud-based AI services are convenient, but they come with recurring costs, data privacy concerns, rate limits, and vendor lock-in. Running AI on your own hardware gives you full control over your data, your models, and your costs — especially at scale.
Hardware is only half the equation
Buying a GPU is easy. Getting it to actually run your AI workloads efficiently — model training, fine-tuning, inference pipelines, scaling — that's where most teams struggle. You need a partner who understands both the silicon and the software.
From desk to data center
Three tiers of AI compute — each one configured, deployed, and supported by our team. Pick the scale that matches where you are today, and we'll help you grow from there.
NVIDIA DGX Spark
Desktop AIPersonal AI Supercomputer
The DGX Spark puts data center-class AI performance on your desk. Powered by NVIDIA's Grace Blackwell architecture, it delivers up to 1 petaflop of AI compute in a compact, quiet form factor that runs on standard power. No server room required.
Best For
- Running and fine-tuning large language models locally
- AI-powered image and video generation
- Prototyping AI applications before scaling
- Researchers and developers who need GPU power without cloud dependency
- Private, on-premises AI inference for sensitive data
Key Specifications
We handle everything — procurement, configuration, software stack installation, deployment, and ongoing support. You tell us the workload, we deliver the solution.
NVIDIA DGX Workstation
Team AIThe AI Workhorse
The DGX Workstation is built for teams that need serious AI compute without the complexity of a data center. With multiple Blackwell GPUs, massive memory, and NVIDIA's full AI software stack pre-installed, it's the most powerful workstation-class AI system available — ready to train, fine-tune, and deploy models out of the box.
Best For
- Training mid-to-large scale AI models in-house
- Multi-model inference serving for production applications
- High-resolution image generation and video AI
- AI teams that need dedicated GPU resources without shared cloud queues
- On-premises AI development for regulated industries (healthcare, finance, defense)
Key Specifications
We handle everything — procurement, configuration, software stack installation, deployment, and ongoing support. You tell us the workload, we deliver the solution.
NVIDIA GB300 NVL72
Enterprise AIData Center-Scale AI Infrastructure
The GB300 NVL72 is NVIDIA's flagship AI data center platform — designed for organizations that need to train the largest models, serve AI at massive scale, or build AI-native products. With 72 Blackwell Ultra GPUs connected via NVLink, it delivers the compute density and memory bandwidth required for frontier AI workloads.
Best For
- Training large language models with hundreds of billions of parameters
- Enterprise-scale AI inference serving thousands of concurrent users
- Building and deploying proprietary AI models and agents
- Organizations that want to own their AI infrastructure instead of renting cloud
- Multi-tenant AI platforms and AI-as-a-service businesses
Key Specifications
We handle everything — procurement, configuration, software stack installation, deployment, and ongoing support. You tell us the workload, we deliver the solution.
AI workloads we deploy every day
These aren't theoretical use cases — they're what our clients are actually running. We configure the hardware and software stack to make each one work.
Train Your Own LLMs
Build language models trained on your proprietary data — customer support transcripts, internal documentation, industry-specific knowledge. A model that understands your business outperforms any generic chatbot, and it stays on your hardware where your data is safe.
AI Inference at Scale
Deploy AI models that respond to thousands of users simultaneously — chatbots, recommendation engines, search, content moderation. Running inference on your own hardware eliminates per-token cloud costs and gives you predictable, flat-rate AI compute.
Image & Video Generation
Generate product photography, marketing visuals, training materials, or creative content using models like Stable Diffusion, FLUX, or custom-trained image models. Run them locally with no usage limits, no content filters, and no subscription fees.
AI Agents & Automation
Build autonomous AI agents that handle complex workflows — processing documents, responding to emails, managing inventory, generating reports. Agents powered by your own models, running on your own infrastructure, with full control over behavior and data.
Fine-Tuning & RAG
Take a powerful open-source model and fine-tune it on your data — or use Retrieval Augmented Generation (RAG) to give AI real-time access to your documents, databases, and knowledge bases. The result is AI that gives accurate, domain-specific answers instead of generic responses.
Scale AI Across Your Org
Deploy AI infrastructure that serves your entire organization — multiple teams, multiple models, multiple applications. Centralize your AI compute, manage access and resources, and scale up as adoption grows without renegotiating cloud contracts.
Hardware expertise meets AI fluency
Anyone can sell you a GPU. We configure the complete solution — hardware, software, and the expertise to make them work together.
We Know the Hardware
With over a decade of experience configuring high-performance systems, we understand GPU architectures, memory hierarchies, cooling requirements, power delivery, and networking at a level that most AI consultancies don't. We don't just recommend a spec sheet — we build systems that actually perform under sustained AI workloads.
We Know the Software
Hardware without the right software stack is just an expensive space heater. We handle the full software side — CUDA, PyTorch, TensorRT, NVIDIA AI Enterprise, container orchestration, model serving frameworks, and custom application development. We get your models running, not just your machines.
We Bridge the Gap
Most businesses face the same problem: the hardware team doesn't understand AI, and the AI team doesn't understand infrastructure. We sit at the intersection. We can talk to your engineers about model architecture AND your IT team about rack power and cooling. One partner, no translation needed.
We Plan for Growth
AI adoption doesn't stop at one model or one use case. We design your infrastructure with scaling in mind — so you can start with a DGX Spark on a desk and grow to a full GB300 rack without rearchitecting everything. Your AI infrastructure should grow with your ambitions, not hold them back.
Common questions about AI infrastructure
Authorized PartnerReady to bring AI in-house?
Tell us what you're trying to build. We'll recommend the right hardware, configure the software stack, and get you running — from a single workstation to a full data center deployment.