MODELSTACK · AI Infrastructure Not every query needs a frontier model. Most don’t.
- Serve
- Benchmark
- Govern
- Route
A single Terraform apply that stands up vLLM serving on your own GPUs, benchmarks it against your frontier baseline, governs every call through one gateway and routes each query to the right tier.
- One apply
- Terraform: serve → benchmark → govern → route
- Your GPUs, your data
- On-prem, EC2, ECS or Amazon SageMaker
- Predictable TCO
- Per-query routing on cost × quality, frontier included
Why MODELSTACK
Frontier or open-weight? The answer is both.
Approach A
Frontier-only
Top quality on everything — but every query, easy or hard, runs at frontier cost, with no owned open-weight option for high-volume workloads.
Approach B
Open-weight, self-built
Good for cost control, but you hand-build vLLM serving, benchmarking, gateways and routing — months of platform engineering before the first governed token ships.
humaineeti
MODELSTACK
Stands up model serving, benchmarking, governance and intelligent routing — frontier included — with one Terraform apply. More models, proven quality, governed and secure, with a predictable total cost of ownership (TCO).
How it works
How MODELSTACK runs.
/ 01
Serve
Stands up vLLM serving with your chosen models.
/ 02
Benchmark
Functional and load testing against your frontier baseline.
/ 03
Govern
One governed model gateway, with auth, spend caps and audit on every call.
/ 04
Route
Routes each query to the right tier on cost × quality.
See it on your own data
Watch MODELSTACK work on a real use case, in a 30-minute live demo.
Free. Then a scoped proof of concept at no cost, before you commit.
At a glance
MODELSTACK against the usual approaches.
Frontier models for the hardest, highest-stakes queries
- Frontier-only
- ✓
- Open-weight DIY
- —
- MODELSTACK
- ✓
Open-weight models you own and can fine-tune
- Frontier-only
- —
- Open-weight DIY
- ✓
- MODELSTACK
- ✓
Runs on your GPUs — on-prem, EC2, ECS or SageMaker
- Frontier-only
- —
- Open-weight DIY
- ✓
- MODELSTACK
- ✓
One governed gateway across frontier and open-weight
- Frontier-only
- —
- Open-weight DIY
- —
- MODELSTACK
- ✓
Built-in functional and load benchmarking, with a report
- Frontier-only
- —
- Open-weight DIY
- —
- MODELSTACK
- ✓
One Terraform apply: serve → benchmark → govern → route
- Frontier-only
- —
- Open-weight DIY
- —
- MODELSTACK
- ✓
Per-query routing to the right tier (cost × quality)
- Frontier-only
- —
- Open-weight DIY
- —
- MODELSTACK
- ✓
✓ delivered · — not addressed.
Inside the solution
MODELSTACK, drawn out.
What you get
Outcomes you can hold us to.
vLLM serving stood up with your chosen open-weight models
Functional and load benchmarking built in, with a report you can circulate
One governed gateway across frontier and open-weight models
Per-query routing to the right tier on cost × quality
Runs on your GPUs — on-prem, EC2, ECS or Amazon SageMaker
You keep control of the models, the data and the bill
Built for
- CTOs & heads of platform
- AI/ML platform engineering
- Heads of data & infrastructure
- CIOs managing AI spend
Industries
- BFSI & fintech
- Retail & D2C
- Manufacturing
- Media & OTT
- Healthcare
- PSU & government
Works with
- Terraform
- vLLM
- LiteLLM
- Bedrock
- SageMaker
- EC2 / ECS
Free demo and no-cost proof of concept
Benchmark open-weight against your frontier baseline — at no cost.
Your workload · your GPUs or account · no cost
The scope
- We stand up the stack in your environment with one Terraform apply
- We benchmark open-weight candidates against your frontier baseline
- You see quality, latency and cost per query side by side
You provide
- A target environment — on-prem GPUs, EC2, ECS or SageMaker
- A representative sample of your real prompts and expected outputs
- Your current frontier model and spend, as the baseline
You get
- A functional and load benchmark report against your baseline
- A routing recommendation: which queries need frontier, which don’t
- A projected TCO at your volume, with the assumptions shown
FAQ · Deployment, data and cost
What buyers ask before they commit.
Have a question that is not answered here?
01Does this mean giving up frontier models?
No — the answer is both. The governed gateway spans frontier and open-weight models, and the router sends the hardest, highest-stakes queries to frontier while high-volume, easy work runs on models you own.
02How do we know open-weight quality is good enough?
You do not have to take our word for it. Functional and load benchmarking is built into the stack, and the proof of concept (PoC) benchmarks candidates against your current frontier baseline on your own prompts.
03How long does deployment take?
It is a single Terraform apply: serve → benchmark → govern → route. The point of the product is that you skip the months of platform engineering a self-built stack requires.
04Where does it run?
Entirely on your infrastructure — on-prem GPUs, EC2, ECS or Amazon SageMaker. One Terraform apply, inside your own account.
05What can it change without us?
Nothing outside the stack it provisions. You own the models, the gateway, the routing policy and the bill.
06Is our data used to train models?
No. Prompts and completions stay inside your boundary. That is the reason to run open-weight models on your own GPUs.
07What does it cost after the benchmark?
The benchmark against your frontier baseline is free. Production is a licence for the stack; your compute stays yours, and stays visible.
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Find out what you are overpaying for.
Book a free demo of MODELSTACK, or scope a no-cost proof of concept (PoC) on your own data. A senior engineer replies within one business day.