AI Hardware Consulting
Size the hardware before you buy it.
For companies considering GPUs, servers, inference setups, or private AI infrastructure, and needing a clear sizing and cost decision before buying.
Who AI Hardware Consulting is for.
You are about to spend on GPUs or servers.
You cannot tell what hardware your workload actually needs.
A vendor quote feels too big and you want a check.
You want to know when cloud is still the better call.
Problems it helps solve.
Overbuying
Hardware sized for a worst case that never arrives.
Underbuying
Infrastructure that cannot keep up once you scale.
Vendor-led sizing
Specs driven by what a vendor wants to sell.
Hidden running cost
Power, operations, and maintenance left out of the math.
What ATLACIS helps you decide.
- Workload profile
- Model, volume, and latency you actually need.
- GPU and server sizing
- What to buy, and what to skip.
- Cloud vs owned
- When renting beats buying.
- Total cost
- Upfront plus running cost over time.
- Procurement plan
- What to order, in what order.
A simple workflow.
Profile
We measure or estimate the real workload.
Size
We map it to hardware and cloud options.
Recommend
You get a sizing and cost decision you can act on.
Common questions
- Do we even need GPUs?
- Maybe not. Some workloads run fine on hosted models or modest hardware. We check first.
- Can you review a vendor quote?
- Yes. We pressure-test the sizing and the cost.
- Do you sell hardware?
- No. We have no incentive to make you buy more than you need.
- What about future growth?
- We size for your real path, with room to scale without overbuying now.
- Cloud or owned?
- Whichever is cheaper and safer for your case. We compare both.
Where companies go next.
Build the right AI system before you spend on the wrong one.
If you are about to spend on AI tools, GPUs, or another pilot, talk to us first. We will look at your data, workflows, cost model, and options, and tell you straight what is worth doing.