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AI Scaling Services
Optima Intel
AI Model Optimization & Scaling
Same model. One tier cheaper. Verified.
Tell us what model you want to run and what hardware you have. We analyze it with our proprietary physics engine, find the optimizations that standard tools miss, and push your hardware requirement down by one tier. If we can't improve on your current plan, you pay nothing.
Free Discovery Call
What We Do
We Make AI Models Fit
On Hardware You Can Afford
Every hardware tier has a tier below it that achieves 80–90% of the performance — when the model is properly optimized. Our engine analyzes your specific model and finds the exact optimizations that make the tier-down possible.
CERTIFY
Know What You Have
Full structural audit of any AI model. Every layer traced. Every head analyzed. Every neuron checked. Health grade A+ through F. Specific findings. Actionable prescriptions. Under 10 minutes.
OPTIMIZE
Make It Fit
Intelligent compression that preserves quality where it matters. Multi-device distribution at optimal split points. Knowledge distillation from large to small. One-time process, permanent benefit.
DEPLOY
Make It Run
Production deployment with runtime optimization, health monitoring, auto-scaling, and self-healing. Your model runs at peak efficiency on your hardware. We manage or you manage — your choice.
The Scaling Ladder
One Tier Down. Same Quality.
Every row is a real optimization path. You think you need the hardware on the left. We optimize your model to run on the hardware on the right. The savings are real. The performance is verified before you commit.
You Think You Need
We Optimize To
Hardware Savings
Performance
B200 ($30K+)
→
4× A100
$80K–120K saved
80–90% of B200
4× A100 ($40K+)
→
4× H200 or 8× T4
$25K–40K saved
80–90% of A100
H200 ($25K)
→
4–8× T4
$20K–24K saved
80–90% of H200
T4 cluster ($4K+)
→
Consumer GPU
$3K–4K saved
80–90% of T4
Consumer GPU ($1K)
→
CPU + AVX
$800–1K saved
80–90% of GPU
Performance targets are measured and verified before you commit. If we can't deliver the tier-down, we'll tell you — and recommend the most cost-effective configuration for your needs. No claims without benchmarks.
Service Catalog
Five Service Categories.
Each One Ships Real Results.
Every service produces a measured, verified deliverable. No hand-waving. No promises without proof. You see the benchmark before you pay for the optimization.
Model Quality Certification
$99 – $999
Before you deploy any model, know exactly what you have. Our engine scans every component and produces a comprehensive quality report — health grade, specific findings, optimization opportunities, deployment guidance.
Standard Scan: health grade A+ to F — $99
Detailed Report: per-layer analysis + prescriptions — $299
Enterprise Audit: multi-model + quarterly re-cert — $999
Government/Defense: air-gapped + custom compliance — Contract
Under 10 minutes for models up to 70B params
Deterministic — same model, same result, every time
Model Optimization (Scale Down)
$499 – $7,999
Make your model fit on cheaper hardware without losing quality. We analyze your specific model, find the optimal compression and distribution strategy, and deliver a production-ready optimized package.
Smart Quantization: 60–70% memory reduction, <2% quality loss — $499–999
Multi-Device Split: optimal distribution across GPUs — $999–2,499
Knowledge Distillation: 70B → 7B with structural transfer — $1,499–3,999
Full Package: certify + quantize + split + runtime — $2,999–7,999
Includes A100 rental for distillation when needed
Benchmark verified before delivery
Model Enhancement (Scale Up)
$1,499 – $5,999
Make a small model smarter. Adapt a general model to your specific domain. Improve quality without increasing hardware requirements.
Domain Adaptation: fine-tune for your industry — $1,999–4,999
Teacher-Student Upgrade: Opus teaches your model — $2,499–5,999
Self-Correcting Module: physics-based quality monitor — $1,499–3,499
25% more efficient than standard fine-tuning
10–15% quality improvement on domain tasks
One-time GPU cost, permanent quality upgrade
Infrastructure Scaling
$999 – $4,999/mo
Don't just deploy — monitor, scale, and self-heal. Our platform predicts demand, prevents failures, and optimizes resource usage automatically.
Deployment Setup: production config + monitoring — $999–2,499
Auto-Scale Platform: predictive scaling — $499–1,499/mo
Managed Operations: 24/7 + SLA — $1,999–4,999/mo
Self-heals on node failure
Model auto-redistributes on hardware changes
Quarterly optimization reviews
Runtime Optimization
$299 – $1,499
Your model is deployed but underperforming. We analyze your runtime configuration and find optimizations that improve speed and reduce costs — often dramatically.
Runtime Audit: thread, batch, memory, context analysis — $299–799
Runtime Implementation: we implement + verify — $499–1,499
Verified improvement before handoff
Works with any serving framework
Packages
Bundled by Company Size
Everything you need in one package. One-time optimization fee plus optional monthly management. All prices ±20%, finalized based on model size and scope.
Starter
SMB Package
For small businesses running AI for the first time or optimizing an existing deployment.
$1,999–3,999
one-time
+ $199–499/mo monitoring
  • Model Certification (Standard)
  • Smart Quantization
  • Runtime Optimization
  • Deployment Setup
  • Basic Monitoring
  • Email support
Get Started
Growth
Mid-Market Package
Multiple models, higher performance needs, and ongoing optimization.
$7,999–14,999
one-time
+ $999–1,999/mo platform
  • Model Certification (Detailed)
  • Full Optimization Package
  • Knowledge Distillation (1 model)
  • Self-Correcting Module
  • Auto-Scale Platform
  • Quarterly Re-Certification
  • Priority support
Contact Sales
Scale
Enterprise Package
GPU fleets, multiple models in production, maximum optimization.
$19,999–49,999
one-time
+ $2,999–9,999/mo managed
  • Enterprise Audit (all models)
  • Full Optimization (up to 5 models)
  • Knowledge Distillation (up to 3 models)
  • Domain Adaptation (1 model)
  • Self-Correcting Module (all models)
  • Managed Operations + Auto-Scale
  • Dedicated Account Manager
  • Monthly Optimization Reviews
Contact Sales
Process
Six Steps. Measured Results.
Every engagement follows the same disciplined process. No surprises. No hand-waving. Benchmarks at every stage.
STEP 01
Discovery Call (Free)
Tell us your model, hardware, performance requirements, and budget. We tell you whether we can help and which services apply. If we can't help, we'll say so.
STEP 02
Certification
We scan your model. You receive a quality report with grade, findings, and optimization opportunities. This alone tells you whether your model is production-ready.
STEP 03
Optimization Plan
Based on the certification and your hardware/budget, we present a specific plan with expected performance, estimated savings, and timeline. You approve before we proceed.
STEP 04
Execution
We optimize, configure, test, and benchmark. You receive the optimized model package, deployment configuration, and measured results — verified before handoff.
STEP 05
Deployment
We deploy to your infrastructure or help you set it up. Runtime optimization included. Monitoring configured. You're live with verified performance.
STEP 06
Ongoing (Optional)
Auto-scaling, managed operations, quarterly re-certification, and optimization reviews keep your deployment at peak efficiency as needs evolve.
Our Guarantee
If our certification scan shows no actionable optimizations, you pay nothing for the scan. If we commit to a tier-down optimization and the benchmarked results don't meet the agreed threshold, we work with you until they do — or refund the optimization fee. We measure everything. No claims without benchmarks.
ROI
The Savings Compound Every Month
Hardware costs are recurring. Optimization is one-time. The longer you run the optimized deployment, the more you save.
SMB EXAMPLE
7B Model on CPU
GPU instance $250/mo → CPU instance $200/mo. Optima Intel fee $2,499 one-time. Breaks even in year 4. Primary value: AI on hardware you already own.
MID-MARKET
70B Model: A100 → T4
2× A100 $4,320/mo → 4× T4 $1,400/mo. Saves $2,920/mo. Year 1: $14,053 saved. Year 3: $48,157. Year 5: $82,261. ROI: 8× in 5 years.
ENTERPRISE
GPU Fleet: 20× A100 → 8+12
20× A100 $43,200/mo → 8× A100 + 12× T4 $21,960/mo. Year 1: $154,893 saved. Year 5: $934,941. ROI: 15× in 5 years. Nearly $1M saved.
Compatibility
Any Model. Any Hardware.
We optimize whatever you're running, on whatever you're running it on.
MODELS
Supported Models
Llama (3.1, 3.2), Mistral, Mixtral, Phi, Qwen, Falcon, CodeLlama, Gemma, GPT-compatible, and any transformer-based architecture. 1B to 405B+ parameters. Formats: safetensors, GGUF, GGML, ONNX, PyTorch .pt, .bin.
HARDWARE
Supported Hardware
NVIDIA: B200, H100, H200, A100, A10G, T4, RTX 4090/3090/3080. AMD: MI300, MI250. Consumer GPUs. CPU: x86 AVX-512, ARM. Cloud: GCP, AWS, Azure, on-premise. Phone: iOS, Android (for small models).
Tell Us Your Model.
We'll Show You the Optimal Path.
Free discovery call. No commitment. If we can't improve on your current plan, we'll tell you. Same model. Same quality. One tier cheaper. Measured and verified.
Schedule a Free Call