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Tribucorp

Partner programs

Four partners. One stack.

We answer for every layer of your AI: the hardware it runs on, the GPU that accelerates it, the platform that orchestrates it and the model that reasons. No middlemen, no grey areas between vendors.

Design a deployment Walk the stack
Tribucorp NVIDIA Canonical Claude by Anthropic Dell Technologies

Layer by layer

01 Hardware
Tribucorp Dell Technologies

Servers, storage and workstations for AI.

We design, deploy and support the physical foundation: from a Precision workstation for a data team to PowerEdge racks with PowerScale storage for continuous training.

Program
Dell Partner Services
Where we apply it
XpandU · Med-IA · On-prem deployments
Official site
dell.com

What we put into production

  • Dell PowerEdge

    Enterprise servers

    Rack and tower servers for data, virtualization and GPUs. The foundation of every on-prem deployment.

  • Dell PowerScale

    Scalable storage

    Scale-out storage for AI datasets, with multi-protocol access.

  • Dell Precision

    AI workstations

    Workstations with NVIDIA RTX Pro GPUs for data and design teams.

  • Dell APEX

    Infrastructure as a service

    On-demand Dell hardware: you pay for what you use and we operate it.

02 Acceleration & agents
Tribucorp NVIDIA

GPU compute and agents built with NIM and Nemotron.

RTX and DGX GPUs with NVIDIA AI Enterprise: we build agents with NIM inference microservices on top of the open Nemotron models, training with NeMo and real-time vision with Metropolis, from Jetson at the edge to the cluster.

Program
NVIDIA Partner Network (NPN)
Where we apply it
AgroDrones · AGUA.AI · Boorie · JustAI
Official site
nvidia.com

What we put into production

  • Agents with NIM + Nemotron

    Agentic AI

    We build AI agents with NIM inference microservices on top of the open Nemotron models: reasoning, RAG, multimodal vision and guardrails.

  • NVIDIA NIM

    Inference

    Production-optimized inference microservices with standard APIs.

  • NVIDIA Nemotron

    Open models

    Open models for agentic AI: reasoning, RAG, multimodal vision and guardrails.

  • NVIDIA NeMo

    LLMs & fine-tuning

    Training, fine-tuning and deployment of LLMs and multimodal models.

  • NVIDIA Metropolis

    Video & vision

    Real-time video analytics for cities, retail and industrial safety.

  • NVIDIA AI Enterprise

    Enterprise suite

    Enterprise-supported AI software for production environments.

  • NVIDIA Jetson

    Edge

    AI compute at the edge for IoT, drones and autonomous devices.

03 Platform
Tribucorp Canonical

Ubuntu and Kubernetes with enterprise support.

The operating system and orchestration layer AI runs on: Ubuntu Pro with long-term security patching, Canonical Kubernetes and Charmed Kubeflow for MLOps, provisioned on bare metal with MAAS.

Program
Canonical Partner
Where we apply it
On-prem GPU clusters · MLOps · Industrial edge
Official site
canonical.com

What we put into production

  • Ubuntu Pro

    Operating system

    Ubuntu with long-term security patching and compliance for servers, workstations and edge.

  • Canonical Kubernetes

    Orchestration

    Enterprise-supported Kubernetes to serve models and agents with high availability.

  • Charmed Kubeflow

    MLOps

    Training pipelines, experiments and model deployment on Kubernetes.

  • MAAS

    Metal as a service

    Automated provisioning of physical servers and GPU nodes, from rack to cluster.

  • Juju and Landscape

    Operations

    Declarative service deployment and centralized management of Ubuntu fleets.

04 Language models
Tribucorp Claude by Anthropic

Claude across your teams, adopted the right way.

We support your organization in adopting Claude: Claude for your business teams, Claude Code for your engineering teams, and access via the Claude API or the Amazon Bedrock and Google Vertex AI clouds, with best practices and usage governance from day one.

Program
Claude Partner Network
Where we apply it
Business teams · Development teams
Official site
claude.com

What we put into production

  • Claude for teams

    Adoption

    We support Claude adoption for your business teams: use cases, workflows and best practices.

  • Claude Code

    Engineering

    Claude Code adoption for engineering teams: workflows, permissions, review and best practices.

  • API and cloud access

    Integration

    Access via the Claude API, Amazon Bedrock or Google Vertex AI, depending on each customer's cloud and contract.

  • Best practices & governance

    Governance

    Usage guidelines, permissions and governance for a responsible adoption of Claude across your organization.

Scale

From one workstation to a SuperPOD.

The same stack grows with you. We start where your use case is and scale without changing the architecture.

  1. 1 GPU

    Workstation

    Dell Precision with an NVIDIA RTX Pro GPU on Ubuntu: local development, POCs and small fine-tuning.

  2. 1–2 GPU

    Edge node

    NVIDIA Jetson and compact PowerEdge: local inference for IoT, industrial vision and drones.

  3. 4–8 GPU

    Dedicated server

    PowerEdge with data-center GPUs: mid-size training and serving with NIM on Canonical Kubernetes.

  4. 16+ GPU

    Enterprise cluster

    PowerEdge, PowerScale and InfiniBand provisioned with MAAS: proprietary LLMs and 24/7 workloads.

  5. 64+ GPU

    DGX / SuperPOD

    NVIDIA DGX (DGX OS, based on Ubuntu) integrated by us: foundation models and large-scale workloads.

Frequently asked questions

About our partnerships.

What does being Dell Partner Services mean?

Dell Partner Services is the Dell program Tribucorp takes part in to design, sell, deploy and support Dell Technologies solutions in Chile and LATAM.

What does NVIDIA Partner Network (NPN) mean?

NPN is NVIDIA's official partner program for designing and deploying production AI solutions. As members we work with the NVIDIA AI Enterprise stack, DGX and RTX Pro.

What does being a Canonical Partner bring?

Canonical is the company behind Ubuntu. As a partner we implement and support Ubuntu Pro, Canonical Kubernetes, Charmed Kubeflow and MAAS, the platform layer your models run on, with long-term security maintenance.

What is the Claude Partner Network?

It is Anthropic's partner program for firms that support Claude adoption inside organizations. As members we help our clients adopt Claude for their business teams, Claude Code for their engineering teams, and access via the API or through Amazon Bedrock and Google Vertex AI.

Is my data used to train Claude?

According to Anthropic's privacy policy (privacy.claude.com), by default it does not use inputs or outputs from its commercial products, such as the API, to train models, unless the customer expressly allows it (for example, by submitting feedback). Exact terms depend on the contract under which Claude is used (Anthropic, Amazon Bedrock or Google Vertex AI). And when information cannot leave your infrastructure, we deploy open models on-prem on the same Dell, NVIDIA and Ubuntu stack.

Can I buy Dell and NVIDIA hardware directly from you?

Yes. We quote and deliver Dell and NVIDIA hardware in Chile and LATAM. The difference is that we don't just sell: we design the architecture, deploy, configure, train and operate.

What SLA do you offer?

It depends on the contract. We do not publish a generic SLA: availability, response times and monitoring are agreed in writing for each project and, for hardware, rely on the Dell support plan purchased (for example, ProSupport Plus).