Your Own Token Factory

Own the model. Own the machine. Own every token.

YOTF is a vertically-integrated LLM inference stack — from the rack to the API — that belongs entirely to you. Nothing leaves your walls; no token passes through anyone else's hands.

550 TPSOutput @ 16 concurrency
8×64GBCMP 170HX VRAM
95%+Cache hit rate
$67KHardware & deployment fee
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Phase one. The specs and pricing below describe our first-generation 8-GPU inference node, already running DeepSeek V4 Flash. Cloud delivery is coming — offline deployment is available now.

The Problem

Calling someone else's model means handing over your lifeline

This hits hardest for companies that lean on commercial or aggregator model APIs.

PROBLEM / 01

Security, running wide open

Every prompt in, every completion out, and whatever internal data rides along — all of it is exposed to whoever operates the model or API you call.

  • Every input and output is visible — the other side sees exactly what you asked and what came back
  • Enterprise data has nowhere to hide — internal docs and customer data leave with every request
  • The security boundary isn't yours — trust rests entirely on someone else's word
PROBLEM / 02

Hardware and engineering, out of reach

The moment a company wants its own, independent model or token supply, it runs straight into two walls: hardware and engineering capability.

  • Hardware is hard to buy — cheap cards (like a 5090) can't carry a large model, and the cards that can are hard to find
  • The integration chain is long — data center, racks, deployment, model tuning, inference optimization, model selection — every link depends on the last
  • Specialist teams are rare — almost no company has engineers who can own this whole chain
How YOTF Solves It

We connect the whole chain, once

Our team deploys hardware suited to mainstream open-source models, then handles the vertical integration, tuning and optimization — and hands the finished capability to you.

01

Hardware deployment

Data center, racks, compute — we source and deploy it, sidestepping market shortages and selection mistakes.

02

Model tuning & adaptation

Hardware-specific adaptation and inference optimization for mainstream open-source models, so the hardware earns its keep.

03

Security & model vetting

Model choice and usage safety are evaluated together — so it isn't just running, it's safe to run.

04

Handoff to you

A complete token-production capability that belongs to you, with our engineering team behind it.

This capability ends up entirely owned by the customer — not rented, not an API subscription. Your own factory.
What You Get

Four things YOTF actually gives you

01

Security and freedom for every token

Inference runs entirely on your own hardware — prompts and data never leave your domain.

02

A full stack that belongs to you

From the data center to the API token, the entire vertical stack is yours — no dependency on any third party.

03

A battle-tested engineering team

Hardware selection, model tuning, inference optimization and day-to-day operations — backed by specialists, not a one-time handoff.

04

A cloud platform, coming soon

Soon you'll be able to stand up this same infrastructure through our cloud platform — true token freedom, on demand.

COMING SOON
First-Generation Hardware

The 8-GPU inference node

A turnkey hardware platform tuned for mainstream open-source LLMs — production-ready out of the box.

YOTF — GEN 1
8× GPU NODE / OPEN-SOURCE LLM READY

Hardware

GPUCMP 170HX × 8
VRAM per card64 GB
Total VRAM512 GB
System memory512 GB
Storage3.68 TB NVMe

Measured performance — DeepSeek V4 Flash

Concurrency16
Output speed550 Token/s
I/O throughput50,000+ Token/s
Cache hit rate95%+
16
CONCURRENCY
550 TPS
OUTPUT SPEED
50K+ TPS
I/O THROUGHPUT
95%+
CACHE HIT
Pricing

One investment, billed monthly by the watt

Pricing is tied to actual hardware power draw — transparent and predictable, independent of token volume.

ONE-TIME FEE
$67,000

Hardware, one-time deployment, and open-source model tuning — equivalent to owning an A100-class server plus a full vertical software/hardware tuning service.

MONTHLY SERVICE FEE · BILLED PER UNIT
$200 / kW / month

Covers power, bandwidth and maintenance, priced against actual hardware power draw.

CMP 170HX power draw2.5 kW ×$200 =$500 / unit / month
For the first-generation 8-GPU node, that works out to about $500 per unit, per month.
Delivery

Offline deployment, available now

Cloud delivery is on its way; until then, we deliver on the ground.

AVAILABLE NOW

Offline rollout & deployment

Our team handles hardware deployment, model adaptation and tuning end to end.

CASE BY CASE

Deployed in your own data center / office

If you need it deployed on your own premises, we'll work out the plan and pricing directly with you.

COMING SOON

Cloud platform

Stand up the same infrastructure through the cloud — token freedom, anywhere, anytime.