Pillar 5 of 5
Own the machines too.
For steady, sensitive, or long-running work, owning the hardware can be the right fit. We size it from your measured workload, and you buy and own the equipment.
When does owning the machines make sense?
Hardware is the last pillar for a reason. It is worth owning once the workload is measured, the model is chosen, and demand is understood.
At that point, the question is practical. Would equipment you own serve this workload better than a cloud account, given your data rules, demand, and operating team?
Sophrono answers it from measurements, and recommends a cloud account whenever that is the better fit.
Signals that favor ownership
- Data must be processed on premises.
- Demand is steady enough to keep the equipment in use.
- The workload will run for the long term.
- Your team can own capacity, updates, and maintenance.
- Owning the infrastructure matters to your business.
What Sophrono provides
Hardware architecture, advice, procurement, and hardware sales, in the USA. You buy and own the equipment.
Architecture
A design for the full environment: the equipment, the model serving software, and how they connect to your systems.
Advice
Sizing recommendations drawn from your measured workload, with the trade-offs between options written down.
Procurement
Support in sourcing the approved specification, so the equipment matches what was sized.
Hardware sales
Equipment can be bought through Sophrono, and your business owns it.
Each recommendation states its basis: the measurements, the options compared, and the trade-offs between them. Your approver decides with that record in hand, and the record stays with you.
Use cases by industry
Where owned equipment fits
Typical applications, not past client work or results. Each one shows why ownership can suit the work, and who approves.
Medical practice
Clinical notes on premises
Sensitive records stay inside the practice. Steady daily volume keeps the equipment in use, and the practice manager approves each model release.
Law firm
Privileged document review
Client files are processed on equipment the firm owns. A supervising attorney approves each release and every change to the data boundary.
Credit union
Member file checks
Member records stay on site under the credit union’s data rules. A named operations lead approves updates and releases.
Manufacturer
Plant documents on site
Work instructions and inspection records are processed where they are made. The plant’s engineering lead approves each version before use.
Engineering consultancy
Drawing and specification review
Large project files stay inside the firm’s environment. A reviewing engineer approves each release against the firm’s held-out tests.
Insurance agency
Steady document intake
Applications and policy documents arrive at a steady pace all year. The agency’s operations lead approves each model release on the equipment.
Measure before sizing
The specification follows the workload. Your approver signs off before anything is bought.
- MeasureRecord task quality, latency, concurrency, and volume.
- SizeCompare capacity options against those measurements.
- ApproveYou approve the specification and commercial scope.
- ProcureSource the approved equipment. You buy and own it.
- VerifyRerun the held-out tests on the new equipment before any release.
- OperateA named owner approves updates and releases.
Measurement usually starts with the free AI Workload Evaluation for one workload. Sizing work beyond that is scoped separately, with senior engineering at $375 an hour.
Sizing from measurements keeps the purchase proportionate. The aim is equipment that fits the work, with room for the growth you expect.
Latency and concurrency matter as much as volume. Short bursts of many simultaneous requests call for different capacity than steady, queued work.
How the sizing is measured
Every sizing recommendation rests on measurements of your workload. This page publishes no specifications or standard packages, because each one follows the work it serves.
The thresholds come from your acceptance criteria. Your approver sees each measure, the options compared against it, and the trade-offs, before anything is bought.
- Task quality
- Accepted outcomes on held-out work, at each configuration considered.
- Latency
- How long each request takes under realistic conditions.
- Concurrency
- How many requests arrive together at busy times.
- Volume and growth
- The work expected now and the growth you plan for.
- Cost per accepted outcome
- What each accepted result costs on each option compared.
- Site requirements
- Space, power, and cooling for the equipment considered.
What optimization means
Each choice is measured against task quality, so efficiency gains are checked against accepted outcomes.
Memory fit
Choose precision and context limits against task quality.
Throughput
Measure concurrency and processing time under expected load.
Operations
Plan monitoring, updates, recovery, and human approval.
Where people approve
Owning the equipment does not change who decides. The same named people approve purchases, releases, and updates, with evidence in hand.
The model on your equipment follows the same release rules as any owned model. That means held-out tests, a Model Passport, and a named approver.
- Before purchaseYour approver signs off the specification and commercial scope.
- Before first useThe held-out tests are rerun on the equipment, and a person approves the result.
- At every releaseA named approver decides whether each new model version goes live.
- At every updateA named owner approves changes to software and configuration.
Governance: an agreed commercial model
Hardware is itemized separately from engineering work. You buy the equipment, and your business owns it.
Ownership terms for the models and configurations are set in the Master Services Agreement. The principle behind this pillar is Canon rule IX: Infrastructure should fit the work.
Installation and maintenance details are not published here. They are agreed during scoping, and responsibilities are written down before purchase.
Agree before purchase
- Who owns capacity planning.
- Who applies updates and security patches.
- Who is responsible for maintenance.
- Who approves each model release.
When a cloud account is the better fit
Variable or uncertain demand usually suits a cloud account, where capacity can grow and shrink. So does a team without the capacity to operate equipment.
When the measurements point there, we say so. An owned model in your own cloud account is still self-sovereign.
A hybrid can pair owned equipment for steady core work with cloud capacity for peaks. Each path keeps its own documented data boundary.
Compare all three options in Your cloud or your servers, including the hybrid arrangement and the data boundary for each.
How to start
Start with the workload, not the equipment. A free conversation and a free evaluation come before any sizing work.
Ask an engineer for a free 15-minute conversation about the workload. The free AI Workload Evaluation then covers its fit and next steps.
If the evidence points toward ownership, sizing is scoped and priced before it begins. Many businesses start in their own cloud account and move later, with the same tests.
Useful to bring
- The workload, and what an accepted result looks like.
- Your rules about where data may be processed.
- Records of current volume and busy periods.
- The person who would own and operate the equipment.
- The space available on site, if you have it in mind.
Questions
Will you recommend cloud deployment when it fits?
Yes. We compare operating requirements and task economics before making a recommendation.
How is the equipment sized?
From measured quality, latency, concurrency, and volume for your workload, plus the growth you expect. The approved specification records that basis.
Do you publish specifications or prices?
No. Each specification follows a measured workload, so there is no standard package. Hardware is itemized separately in each proposal.
Who owns the equipment?
You do. Your business buys the equipment and owns it. Full engagement terms are finalized in a Master Services Agreement.
Do you have relationships with hardware vendors?
We have no vendor, reseller, referral, or commission relationships to disclose. Recommendations rest on your measurements.
Can existing hardware be used?
A workload measurement can establish whether the available capacity meets the agreed requirements.
Do we need a data center?
It depends on the equipment the workload needs. Space, power, and cooling requirements are part of the sizing work.
Who installs and maintains the equipment?
Installation and maintenance details are agreed during scoping. Responsibilities are written down before purchase.
What happens when newer hardware is released?
Nothing changes automatically. Measure the new option against your workload, and buy only when the evidence supports it.
Do you offer hardware outside the USA?
Hardware architecture, advice, procurement, and sales are offered in the USA. Ask an engineer about other deployment options.
Pillar 5 of 5