Faster AI Inference with an Optimised Model Engine.

Increase throughput, stabilise p99 latency, and reduce GPU cost per token with a performance tuned AI inference engine built for enterprise scale workloads. Your models. Your infrastructure. Our optimisation layer.

Performance Engine

The performance layer for production grade AI

Most AI and LLM teams face slow inference, rising GPU costs, and unstable latency as concurrency grows.
Geodd solves this by applying AI inference optimisation at the model and runtime layers without requiring new GPUs or architecture changes.The Optimised Model Engine accelerates your LLM inference, improves throughput, and stabilises performance on your existing infrastructure.

25% - 50% higher throughput on current hardware

Achieve 25%–50% more inference throughput on your existing GPU fleet without upgrading hardware.

2–3× faster decoding using adaptive speculative inference

Speed up model generation by 2–3× through adaptive speculative decoding built for production workloads.

Stable p99 latency at 32+ concurrent requests

Maintain predictable p99 latency even with 32+ concurrent users, ensuring consistent performance at scale.

Works with fine tuned, domain specific, and enterprise custom models

Optimises fine tuned, domain specific, and fully custom enterprise models for peak serving performance.

Accelerated Execution

Your Model. Our Engine.

Accelerate your model with an optimisation engine that enhances every stage of inference. Geodd applies graph optimisation, kernel fusion, and precision tuning to improve execution efficiency, while adaptive speculative decoding delivers 2–3× faster generation. Concurrency aware scheduling maintains stability under heavy load, ensuring higher TPS per GPU and consistently low latency.

With optimised p99 performance, high concurrency resilience, hardware level GPU tuning, and a fully production ready API and runtime, you get peak performance on your existing infrastructure.

GPU optimised model performance

Advanced Runtime Optimisation

Accelerates inference through graph optimisation, kernel fusion, and precision tuning.

API & Runtime Production Ready

Faster Adaptive Decoding

Delivers 2–3× faster generation using adaptive speculative decoding.

High concurrency Stability

Concurrency Aware Scheduling

Maintains runtime stability and predictable performance under heavy load.

p99 latency optimized

Higher TPS With Low Latency

Achieves more throughput per GPU while ensuring consistent low latency responses.

ENGINEERED FOR PRODUCTION

Inference that stays fast, even when your traffic spikes.

Most inference systems look fast in demos but degrade under production load. Geodd’s optimisation layer is engineered for enterprise AI infrastructure, ensuring stable, low latency AI model serving at scale, even during peak usage.

High performance optimisation layer

Higher throughput and faster inference.

Enterprise grade uptime & reliability

Always on, fail safe performance.

Works across any cloud, on prem, or bare metal setup

Runs anywhere, without changes.

Security & compliance ready

Protect workloads with isolation, encryption, and enterprise grade governance.

Stable under heavy concurrency

Maintain predictable performance even during high traffic, multi user workloads.

THE optimisation LAYER

AI performance without the complexity.

Geodd doesn’t just run your models, we optimise and accelerate them for high performance AI inference on your existing GPUs.

25%–50% higher throughput (TPS/user)

Stable p99 latency during real world traffic

Full support for custom and fine tuned enterprise models

Concurrency aware scheduling tuned for multi tenant workloads

2–3× faster generation via adaptive speculative decoding

WHO WE SERVE

Built for what you’re building

AI Startups
Enterprises
Web3 Nodes
LLMs & GenAI
Image Generation / TTS / Embeddings

AI Startups: Faster Inference, Zero Tuning

Achieve immediate performance gains without GPU expertise. Improve throughput, reduce latency, and scale confidently as user traffic grows.

  • Instant speed without infra work
  • Higher throughput on same GPUs
  • Lower latency for user facing apps
  • Scales smoothly with demand

Enterprises: Control and Compliance at Scale

Powerful hybrid deployments ensure compliance, predictable costs, and full data governance for large organizations.

  • Dedicated infrastructure for full data governance.
  • Predictable costs with specialized Custom Silicon.
  • SLA-backed uptime for mission-critical applications.
  • Full auditability and compliance readiness.

Web3 Nodes: Global Reach with Zero Downtime

Our multi-cloud backbone ensures specialized nodes maintain stability and guaranteed low latency across all regions.

  • Guaranteed low latency in any geopolitical region.
  • Maintain continuous operation for validators/oracles.
  • Access specialized/rare regional compute easily.
  • Infrastructure hardened for decentralized loads.

LLMs & GenAI: Unmatched Speed and Efficiency

Increase token throughput and reduce cost per inference on your existing GPU fleet with an engine tuned for high load LLM serving.

  • Higher tokens per second
  • Engineered for massive LLM and GenAI workloads.
  • Fastest inference runtime for complex models.
  • Effortless scaling to millions of tokens per second.

Custom Models: Domain Level Optimisation

Enhance performance for specialised, fine tuned, or proprietary models with optimisation tailored to domain logic and accuracy needs.

  • Tuned for proprietary models
  • Optimized pipelines for specific model types.
  • Highly responsive output guaranteed.
  • Ensures exceptional user experiences.

BUILD FASTER

Developer-first from day one.

Standard APIs
Model Library
Transparency
import OpenAI from “openai”;

const client = new OpenAI({

apiKey: process.env.OPENAI_API_KEY, // or your internal key

baseURL: “https://api.geodd.io/v1”, // or your custom endpoint

});

async function runCompletion() {

const completion = await client.chat.completions.create({

model: “gpt-4o-mini”, // or your local model, e.g.
“llama-3.1-70b”

messages: [
{
role: “system”, content: “You are a helpful assistant.” },

{ role: “user”, content: “Explain speculative decoding in simple terms.” },

],

temperature: 0.7,

max_tokens: 256,

});

// Log the full response object
console.log(JSON.stringify(completion, null, 2));

// Or just extract the text reply

console.log(“Response:“,
completion.choices[0].message.content);

}

runCompletion().catch(console.error);

Seamless Integration with Open API Compliance

Integration should be instant and intuitive. All Geodd endpoints adhere to the Open API specification, ensuring compatibility with virtually any development stack or framework. This standardization eliminates tedious setup and proprietary documentation hurdles, allowing your team to plug in and start making inference calls immediately. It is the easiest way to operationalize your models at scale.

Model library for quick start

Your application logic is unique, and your endpoint should reflect that. Geodd allows you to customize the behavior, input, and output schema of every deployed endpoint to fit your exact workflow requirements. This flexibility supports complex custom tasks and pre-processing logic, significantly simplifying your external code base. Build powerful, specialized microservices tailored to your application, all managed by Deploy Pad.

Model Library for Accelerated Development

Don't start from scratch, leverage our curated and constantly updated Model Library for rapid prototyping. These models are already pre-optimized for Deploy Pad's runtime, meaning they are ready to run at peak speed and efficiency right out of the box. Use them as a baseline or jumpstart your project immediately, significantly reducing your time-to-market.

Optimization Engine for Every Model

Every model, whether custom or pulled from the library, automatically passes through our proprietary optimization engine before deployment. This process fine-tunes the model for maximum hardware efficiency and throughput, eliminating manual optimization effort. This built-in process guarantees 25%-50% faster inference speeds than standard stacks, giving you a competitive edge.

Real-Time Operational Health Status

Trust is built on clarity, especially with mission-critical infrastructure. Our public Live Status Page provides developers with real-time, granular health reports across all operating regions, guaranteeing transparency into system performance. This ensures your team can confidently monitor the stability and availability of your globally deployed models.

Predictable Integration with Detailed Changelog

Maintain smooth integration and planning without unexpected breaking changes to your workflows. The detailed Changelog keeps your developers fully informed about new platform features, core optimizations, and any API updates. This resource guarantees predictable integration and allows your team to easily plan future development around Geodd’s enhancements.

READY TO OPtimise?

Optimise for Growth.

Let Geodd optimise your models and deliver high performance, low latency inference, so your team can focus on building, not tuning runtimes or scaling GPU infrastructure.

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