Gumbii Digital LLC

1. Systems integration & technical infrastructure

   Design, deployment, configuration, and support of computing and networking environments: servers, workstations, structured networking, containerization (Docker), storage, power protection, and monitoring — plus equipment configuration, calibration, repair, and vendor-hardware programming.

2. Custom software & workflow automation

   Data processing, monitoring, internal tooling, API and systems integration, scheduling, and process automation — delivered as documented, maintainable systems.

3. Technical support, consulting & training

   Architecture advisory, documentation, and training on infrastructure, software, distributed systems, and automation.

4. Digital media & content production

   Video and media deliverables for training, simulation, and communications, including GPU-accelerated encoding, compositing, and automated content pipelines.

5. Specialized compute & private AI environments

   Private high-performance compute for inference, model serving, synthetic media, and other specialized workloads — without public-cloud exposure of sensitive data. Frontier-model tooling and local open-weight LLMs alike, with fully local and air-gapped configurations available.

Company-owned infrastructure, already deployed

An eight-node GPU compute cluster, 200G network fabric, high-memory Apple development systems, and a full integration/test bench — serialized, insured, and production-ready. No spin-up delay on award.

One contractor, full stack

Systems, software, automation, media, and specialized compute from a single accountable vendor rather than brokered to multiple subcontractors.

Data stays on-premises

Sensitive workloads run on company-owned equipment at a dedicated commercial facility — not in shared public cloud. Air-gapped engagements available: models, data, and pipelines can run entirely on hardware you own.

Veteran-led engineering discipline

Founded, owned, and operated by a service-disabled U.S. veteran. Documentation-first delivery, demonstrated by a transaction-level documented asset and operations record.

Gumbii Digital designed, built, and operates a production environment of scheduled hardware assets — the same infrastructure offered to clients — hosting the company's own automation pipelines for monitoring, documentation, and media production.

NVIDIA GPU compute nodes

8

cluster interconnect

200G

office/lab network

10G

unified-memory Apple systems

128GB

High-memory Apple development systems sit on the same structured 10G network as the GPU cluster — a combined environment for rapid video generation, creative pipelines, and multi-platform development, backed by virtualization, monitoring, and UPS-protected power, and operated under the same documentation-first discipline offered on contract.

Public, evidence-led engineering records from the company's own cluster — published at github.com/GumbiiDigital.

• dgx-cluster-public

  Eight-system DGX Spark engineering: fabric repair, NCCL tuning, rack recabling, custom 3D-printed PSU supports, and thermal validation.

• deepseek-v4-flash-0731-dgx-spark-cluster

  DeepSeek V4 Flash on an 8× NVIDIA DGX Spark cluster: deployment, reproducible benchmarks, optimization profiles, and sanitized evidence.

• spark-nvfp4-lab-public

  Measured GLM-5.2-Vision NVFP4 reproduction on 8× DGX Spark: 1M context, native SM121, single- and eight-client throughput, and stability runs.

• dgx-routeros-agent-public

  Evidence-gated RouterOS network diagnostics and change planning for DGX Spark infrastructure.

The same engineering offered on contract, scoped for companies that are just standing up: own your compute, your data, and your tooling from day one instead of renting all three.

1. Hardware selection & buildout

   Spec and stand up the right compute for your workload and budget — a single workstation to a GPU cluster — procured, cabled, powered, monitored, and documented, without overbuying.

2. Private AI from day one

   Local model serving and agent harnesses on hardware you own, with model backends that stay swappable. Cloud-optional by design; air-gapped where the work demands it.

3. Automation & internal tooling

   The unglamorous systems a small team needs early: monitoring, scheduling, data processing, and process automation — delivered as documented, maintainable systems, not tribal knowledge.

4. Content & media pipeline

   GPU-accelerated video generation and automated content pipelines on the same infrastructure — product, training, and marketing media without a per-seat SaaS stack.

5. Training & handoff

   Documentation-first delivery: your team is trained on the system and owns it outright. No lock-in to the vendor who built it.

Dylan Evers, Founder & CEO. Direct line to the engineer who scopes, builds, and documents the work.