Optimised Model Engine

Faster models. Smarter execution. Real-time results.

The Optimised Model Engine is Geodd’s performance layer — a specialised software stack that accelerates open-sourced and fine-tuned large language models for real-time workloads. 
We optimise models to deliver 25–50% higher throughput, stable p99 latency, and 2–3× faster decoding for time-critical applications.

THE OPTIMIZATION LAYER

What It Is

The Optimised Model Engine isn’t an API or a hosting service — it’s a deep software layer built to make your models faster and more predictable under load.
When other systems slow down with 32 concurrent requests, our optimised models maintain speed and consistency — sustaining higher tokens per second per user without quality loss.
We work on custom-trained and fine-tuned models, enhancing their performance through advanced compilation, graph optimisation, and speculative decoding techniques.

DEEP CODE INSIGHTS

Optimisation from inside the model, not around it

Model Profiling

We benchmark models across concurrency levels to identify performance bottlenecks.

Execution Graph Optimisation

The model’s compute graph is rewritten and fused for minimal overhead — reducing kernel launch times and execution latency.

Speculative Decoding

Speculative decoding improves generation speed 2–3x, maintaining accuracy.

Concurrency Stabilisation

Our optimizations ensure sustained high throughput under concurrent requests.

Precision Tuning for Hardware

Each model is calibrated to use the most efficient compute precision

MEASURED ADVANTAGE

Performance Characteristics

Maximum Concurrency Throughput

Achieve 25–50% higher throughput during intense concurrent traffic loads.

Stable P99 Latency

Guarantees stable p99 latency even when handling high request volumes.

Accelerated Token Generation

Achieve 2–3x faster generation using speculative decoding techniques.

Reduced TTFT

Reduce Time-to-First-Token significantly via intelligent state caching.

Consistent Speed for Custom Models

Maintain high, consistent speed across all custom or fine-tuned models.

THE BUSINESS IMPACT

Why It Matters

Time-critical applications, from conversational systems to live analysis and robotics - demand speed and predictability, not just accuracy. 
The Optimised Model Engine makes models behave like production-grade systems, not research prototypes.

Sustained Responsiveness

Guarantees consistent responsiveness and performance, even under heavy traffic loads.

Predictable Latency

Ensures low, predictable latency crucial for real-time user experience.

Cost Efficiency Guaranteed

Lower operational costs per request through superior resource optimization.

True Independence

No dependency on third-party APIs or any single cloud provider.

Custom Transformer Models

Deploy your specialized, custom-trained transformer models instantly at scale.

Domain-Specific Fine-Tuning

Host fine-tuned variants optimized for highly specific, domain workloads.

Flexible Token Pipelines

Utilize specialized pipelines for streaming or batch token generation.

MODEL ARCHITECTURE

What We Optimise

ENGINEERING APPROACH

Technology Principles

Systems-First Performance

We treat models as systems, ensuring integrated performance engineering, not mere network endpoints.

Silicon-Level Optimization

Models are optimized to work directly with the silicon layer for maximum efficiency.

Accelerated Generation

We anticipate and precompute results, significantly accelerating token generation.

Real-World Concurrency

Systems are designed for real traffic loads, ensuring stability outside benchmarks.

SILICON-LEVEL TUNING

Real performance 
starts inside the model

The Optimised Model Engine is our software layer for accelerating fine-tuned and custom models, turning them into stable, low-latency systems for real-time use. 
We make models faster where it matters most: under load.

Request Model Optimisation

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