Austin, Texas · AI Infrastructure
From Planning to Production.
Rivram Handles the Rack.
Austin's most complete AI infrastructure partner. We guide startups and businesses from hardware planning through live, supported inference racks — and keep them running.
End-to-End
Full-Stack AI Infrastructure Partner in Austin
Austin, TX
Local presence, Texas-wide reach
Retainer
Ongoing managed rack support
Hardware Partners
What We Do
Four Stages. One Partner.
Most firms do one thing — consult, sell, install, or support. We do all four, under one roof, with a single point of accountability.
AI Infrastructure Planning
Architecture review, GPU selection, power & cooling analysis, and deployment roadmap — before you spend a dollar on hardware.
Hardware Procurement
We source servers, GPUs, networking, and accessories through vetted channels — no broker scams, no blown lead times.
Colocation Deployment
Physical rack installation at Austin-area data centers. We handle cabling, power, IPMI, and first-boot validation.
Managed Rack Support
Retainer-based ongoing support: remote monitoring, hardware RMA, firmware updates, and on-site response when you need it.
2025 Hardware Catalog
Inference-ready systems, colo-ready from day one.
Four named rack bundles — Seed, Ranger, Trail Boss, and Titan — sourced, integrated, burn-tested, and shipped to your colocation facility. GPU cards and Supermicro server platforms also available standalone.
Why Rivram
One Partner. The Whole Stack.
Competitors talk about their facility, their software, or their managed services. None of them tells the full AI infrastructure story. That's ours to own.
One Partner, Full Stack
No one else in Austin covers the full journey — from "what hardware do I need?" through a live, supported inference rack. Every other firm does one piece.
Austin-Based, Accountable
We answer the phone. We show up. You're not a ticket number in a national MSP queue — we're local, and our reputation depends on your rack running.
Your Hardware, Your Control
You own the equipment. It lives in a world-class colocation facility, but it's yours — no vendor lock-in, no recurring platform fees, no strings.
Expert-Led, Plain Language
We've deployed real AI inference clusters. We'll tell you exactly what you need, what it costs, and what to expect — in plain language.
Serving Austin and all of Texas
Common Questions
What buyers ask us first.
Do I need colocation, or should I build on-prem?
It depends on your power situation, team size, and scale. We'll walk you through the real tradeoffs — power costs, cooling requirements, physical security, and what happens when hardware fails at 2am.
How much does a GPU server actually cost?
An 8x H100 SXM5 server runs $250–350K new. A100 configs start around $80K. But the hardware cost is only part of the picture — power, networking, and rack fees add up. We show you the full TCO.
How long does the planning phase take?
Typically 1–2 weeks from initial conversation to a written infrastructure plan. Faster if your requirements are well-defined.
Ready to deploy your AI infrastructure?
Tell us where you are in the process — planning, procurement, or ready to rack. We'll take it from there.