Managed AI infrastructure · APAC

Private AI deployment, managed from supplier selection to production.

SAMCOR helps AI agencies and growing companies deploy fine-tuned and open source models on verified APAC infrastructure. We handle supplier vetting, deployment coordination, monitoring, billing, and compliance records — so your team does not have to.

What we take off your plate

Your team ships. We manage the infrastructure.

Running private AI in APAC means sourcing GPU suppliers, coordinating deployments, watching uptime, managing invoices, and producing compliance records. We do all of it.

Supplier sourcing

We identify verified APAC infrastructure partners matched to your region, GPU, workload type, and support requirements. No cold calls to unknown providers.

Deployment coordination

We move your model into a private inference environment without forcing your team to manage vLLM, Docker, networking, or supplier onboarding from scratch.

Monitoring and support

We track uptime, latency, incidents, supplier responsiveness, and pilot status. You see one live view — not five separate dashboards.

Cost and compliance records

We provide quote line items, supplier trust attestations, data residency notes, and deployment documentation ready for audit.

Who we work with

Built for production AI teams that need more control.

SAMCOR is not for everyone. Here is how teams typically qualify.

Best fit for teams that:

Running a fine-tuned or open source model — not just calling a public API
Production or near-production workload that cannot live in a shared cloud environment
APAC data residency requirement for compliance, latency, or sovereignty reasons
Monthly AI infrastructure spend of $5K–$50K, or expected to reach that within 90 days
No dedicated infrastructure engineering team to manage all of the above

Before vs. after

What changes when SAMCOR is running the infrastructure.

The gap between "we found a GPU provider" and "we have a production deployment" is where most teams get stuck.

✗ Without SAMCOR
✓ With SAMCOR
Supplier sourcing
Searching forums for GPU providers with no benchmarks or accountability
Verified shortlist matched to your workload, region, and GPU requirements
Infrastructure trust
Unclear uptime history and no attestation records
Trust score, benchmark data, and signed supplier records
Deployment work
Engineering team managing vLLM, Docker, networking, and vendor onboarding
Managed deployment coordination handled by SAMCOR
Billing
Separate invoices from multiple suppliers every month
One consolidated quote and billing flow
Compliance
Documentation scattered across emails and provider logins
Deployment packet ready for internal review or external audit
Scale decision
No structured basis for a go/no-go decision after the pilot
30-day pilot report with cost data, supplier scores, and scale recommendation

When to use what

OpenAI is great — until your model, data, or cost structure no longer fits.

Use public APIs for standard workloads. Use SAMCOR when you need to run a fine-tuned or open source model in APAC, control the deployment region, manage supplier risk, and get predictable monthly infrastructure costs.

Public APIs

  • Standard models, fast to start
  • No infrastructure management required
  • No custom or fine-tuned models
  • Data leaves your region
  • Costs unpredictable at scale

Hyperscalers

  • APAC regions available
  • Broad tooling ecosystem
  • Heavy engineering lift to configure and maintain
  • GPU availability not guaranteed
  • Bills nobody fully understands

SAMCOR

  • Verified APAC suppliers only
  • Fine-tuned and open source models
  • One accountable operator, not five vendors
  • Predictable monthly cost and billing
  • Compliance packet included

How to start

30-day managed inference pilot.

We do not do open signups. We take a limited number of qualified engagements each quarter and work with each team directly.

1

Apply and qualify.

Tell us about your model, workload, region, and monthly compute spend. We confirm fit within 3 business days.

2

Supplier matching.

We build a verified shortlist of APAC infrastructure options matched to your GPU, region, and support requirements.

3

Deployment coordination.

We coordinate your model into a private inference environment and monitor the first 30 days of production.

4

Pilot report and scale plan.

At day 30 you receive uptime data, cost analysis, supplier scores, and a clear recommendation on how to scale.

Limited availability · Q2 2026

Ready to move from fragmented infrastructure to a managed deployment?

Apply for a managed inference pilot. We review applications weekly and confirm fit within 3 business days.