AI Infrastructure, handled.
AI and ML infrastructure: the GPUs, pipelines, and platforms to train, serve, and scale models in production.
- 7 of every 1,000 candidates hired
- Typically starts in about a week
- Hourly, hours-bank, or monthly
- Meet your engineer before starting
MeteorOps engineers already supporting production teams you know
- Rimsys
- Taranis
- Pepper
- Erisyon
- Skyline
- Surpass
- Embie
- Wand
- Named
- Meet the engineer who will do the work
- Backed
- Lead architect and specialists behind them
- 4.9/5
- across 13 verified reviews
What AI Infrastructure covers
AI Infrastructure services to help you build and deploy your AI workloads with ease
What that gives you
- A scalable
- Efficient system that handles large datasets
- Optimized resource management through automated orchestration
- Seamless integration of machine learning pipelines
- Robust monitoring to ensure model performance
- Reliability in production
GPU and compute
Provision and schedule GPU capacity across cloud and on-prem without paying for idle silicon.
Training pipelines
Reproducible, scalable pipelines for data prep, training, and experiment tracking.
Model serving
Low-latency inference, autoscaling, and safe rollout strategies for models in production.
MLOps
Versioning, CI/CD for models, and monitoring for drift and degradation.
Data infrastructure
Feature stores, vector databases, and the plumbing that feeds your models.
Cost and scale
Right-size expensive AI workloads and keep inference bills under control.
How it works
From first call to an engineer in your Slack in about a week
No procurement maze, no bench to staff up. A senior engineer starts where it hurts, and you only pay for the time you use.
- 1
Book a consult
A 30-minute call to scope your AI Infrastructure needs. No charge, no pressure, no slide deck.
- 2
We match an engineer
A vetted senior AI Infrastructure specialist, picked for your stack and the problem in front of you.
- 3
In your Slack in about a week
They join your channels and start where it matters most, not after a month of onboarding.
- 4
Work the way you want
Billed by the hour, by hours-bank, or monthly. Pause, resize, or stop with short notice.
Ways to work with us
Bring in AI Infrastructure the way that fits
One service, several shapes. Start with advice, embed an engineer in your team, or hand over a defined piece of work. Every model is the same vetted senior talent.
Which model fits
Same senior engineers, different commercial shape. Scan the trade-offs, then open the one that matches how you want to buy.
Hourly, your cadence.
- Scope
- Dynamic
- Capacity
- Flexible
- Billing
- End of month
- Best for
- Opinions, reviews, and spike capacity
Named engineer monthly.
- Scope
- Dynamic
- Capacity
- Steady
- Billing
- End of month
- Best for
- Ongoing capacity in your channels
Paging-backed coverage.
- Scope
- Dynamic
- Capacity
- Flexible
- Billing
- End of month
- Best for
- Incidents, rotations, wake windows
Defined scope pods.
- Scope
- Predefined
- Capacity
- Flexible
- Billing
- Custom milestones
- Best for
- Roadmaps with a clear exit
Planned outcome.
- Scope
- Predefined
- Capacity
- Hours Bank
- Billing
- Hours Bank
- Best for
- Plan first, build to a milestone
Keep systems healthy.
- Scope
- Dynamic
- Capacity
- Flexible
- Billing
- End of month
- Best for
- Hygiene, releases, and team enablement
Not sure which fits? A 30-minute consult sorts it out. Most AI Infrastructure engagements start small and grow only if it makes sense.
What working with us is like
Founders and engineering leads describe the senior help they get, in their own words.
“Nguyen is a champ. He's fast and has great communication. Well done!”
Ido YohananEmbie“Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.”
Mike OssarehVP of Software · Erisyon“I was impressed with the amount of professionalism, communication, and speed of delivery.”
Dean ShandlerSoftware Team Lead · Skyline Robotics“Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope. I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.”
Gil ZellnerInfrastructure Lead · HourOne AI
AI Infrastructure questions, answered
Still unsure about something? A 30-minute consult is the fastest way to a straight answer.
Talk to an engineerHow quickly can I get AI Infrastructure help?
A typical start is about a week from the fit call. You meet the proposed AI Infrastructure engineer first, then they join the channels and tools where your team already works.
How are your engineers vetted?
7 of every 1,000 candidates are hired from our vetting pipeline. The process tests technical depth, architecture judgement, communication, and ownership before an engineer is introduced to a client.
How does billing work?
You can pay monthly for actual hours, use a prepaid hours bank, or reserve steady monthly capacity. We explain the rate and expected shape before work starts, and provide a detailed log of billed time.
Can I start small?
Yes. Many engagements begin with a few hours to scope or unblock something specific, then grow only if it makes sense. You are not committing to a large AI Infrastructure contract to get started.
AI Infrastructure, handled.
Tell us what is blocking the roadmap. We will map the problem, introduce the engineer who would do the work, and can usually start in about a week. No obligation.