AI & Machine Learning
LLM Deployment Services: A Buyer's Guide for CTOs
What LLM deployment services should cover: serving, autoscaling, gateways, evaluation, security and cost control, plus the deliverables to insist on.
15 October 20268 min read
'%20fill='%23C63631'%20stroke='none'%3e%3cpath%20d='M%201784.53%205631.9%20C%201775.53%205618.9%201692.53%205479.9%201598.53%205322.9%20C%201395.53%204983.9%201355.53%204919.9%201342.53%204915.9%20C%201332.53%204912.9%201315.53%204938.9%201090.53%205311.9%20C%201023.53%205423.9%20960.53%205523.9%20951.53%205534.9%20C%20936.53%205549.9%20918.53%205552.9%20816.53%205552.9%20C%20751.53%205552.9%20696.53%205548.9%20692.53%205542.9%20C%20689.53%205537.9%20721.53%205475.9%20763.53%205405.9%20C%20806.53%205335.9%20855.53%205252.9%20872.53%205222.9%20C%20889.53%205192.9%20941.53%205106.9%20987.53%205032.9%20C%201032.53%204958.9%201161.53%204746.9%201272.53%204562.9%20C%201383.53%204378.9%201522.53%204147.9%201581.53%204050.9%20L%201689.53%203872.9%20L%201823.53%203872.9%20C%201897.53%203872.9%201957.53%203874.9%201957.53%203876.9%20C%201957.53%203879.9%201887.53%203997.9%201800.53%204139.9%20C%201513.53%204612.9%201487.53%204657.9%201487.53%204674.9%20C%201487.53%204697.9%201788.53%205192.9%201802.53%205192.9%20C%201807.53%205192.9%201830.53%205162.9%201852.53%205125.9%20C%201874.53%205088.9%201902.53%205042.9%201913.53%205023.9%20C%201925.53%205003.9%201993.53%204890.9%202065.53%204772.9%20C%202395.53%204228.9%202458.53%204121.9%202452.53%204112.9%20C%202448.53%204106.9%202382.53%204102.9%202287.53%204102.9%20C%202200.53%204102.9%202126.53%204098.9%202123.53%204094.9%20C%202120.53%204089.9%202147.53%204038.9%202183.53%203979.9%20L%202249.53%203872.9%20L%202563.53%203872.9%20C%202736.53%203872.9%202877.53%203875.9%202877.53%203878.9%20C%202877.53%203882.9%202812.53%203991.9%202734.53%204121.9%20C%202537.53%204445.9%202057.53%205239.9%201929.53%205452.9%20C%201801.53%205664.9%201804.53%205662.9%201784.53%205631.9%20Z'%20style='fill:%20rgb(215,%2032,%2038);'/%3e%3cpath%20d='M%202191.53%205539.9%20C%202187.53%205527.9%202443.53%205099.9%203052.53%204100.9%20L%203191.53%203872.9%20L%203324.53%203872.9%20C%203397.53%203872.9%203457.53%203874.9%203457.53%203876.9%20C%203457.53%203879.9%203366.53%204031.9%203255.53%204214.9%20C%203144.53%204397.9%202964.53%204696.9%202854.53%204877.9%20C%202744.53%205059.9%202607.53%205285.9%202550.53%205380.9%20L%202445.53%205552.9%20L%202321.53%205552.9%20C%202226.53%205552.9%202195.53%205549.9%202191.53%205539.9%20Z'%20style='fill:%20rgb(215,%2032,%2038);'/%3e%3cpath%20d='M%201029.53%204386.9%20C%201014.53%204360.9%20993.53%204325.9%20982.53%204308.9%20C%20970.53%204291.9%20938.53%204237.9%20909.53%204187.9%20C%20880.53%204138.9%20829.53%204053.9%20797.53%203999.9%20C%20764.53%203944.9%20737.53%203894.9%20737.53%203886.9%20C%20737.53%203874.9%20759.53%203872.9%20864.53%203874.9%20L%20991.53%203877.9%20L%201099.53%204049.9%20L%201207.53%204220.9%20L%201144.53%204326.9%20C%201110.53%204384.9%201076.53%204432.9%201069.53%204432.9%20C%201062.53%204432.9%201044.53%204411.9%201029.53%204386.9%20Z'%20style='fill:%20rgb(215,%2032,%2038);'/%3e%3c/g%3e%3c/svg%3e){kind=small}
All articlesTag
LLMs
12 LLMs articles on production outcomes, with lessons from real enterprise projects. Read the guides that fit your next decision.
Software Development
Deterministic AI Workflows vs Autonomous Agents in 2026
Autonomous agents were the 2025 story. In 2026 enterprise teams are rebuilding them as deterministic workflows with LLMs as components. Here is our pattern.
1 September 20269 min read
Cloud & DevOps
How to Cut an Enterprise LLM Inference Bill in 90 Days
A worked example of cutting enterprise LLM inference spend in 90 days with caching, routing and serving-tier changes, without downgrading the model.
25 August 20269 min read
Cloud & DevOps
GPU Inference Autoscaling: Where Kubernetes HPA Fails
The default Kubernetes autoscaler was built for stateless web apps. Here's the GPU-aware inference autoscaling stack we deploy for enterprise LLM workloads.
18 August 202610 min read
Software Development
Building an Internal LLM Gateway for Enterprise AI
Every enterprise AI programme reaches a point where direct model calls stop scaling. Here's the LLM gateway pattern we deploy, and why.
4 August 202610 min read
AI & Machine Learning
Cut LLM Inference Latency Without a Model Upgrade
Where the time really goes in a slow enterprise support copilot, and the architectural changes that fix it without a frontier model upgrade.
23 June 20269 min read
Cloud & DevOps
GPU FinOps: Cutting Enterprise AI Infrastructure Spend
A practitioner's playbook for controlling GPU and AI infrastructure costs at scale — the wasteful patterns we see most and the levers that move spend.
16 June 202610 min read
Cybersecurity
Red Teaming Enterprise LLM Applications: A Playbook
How we red team production LLM and agent systems for enterprise clients — the attack taxonomy that matters, our six-phase process, and where to invest first.
9 June 20269 min read
Software Development
Production LLM Eval Framework: Catch Regressions
How to build an LLM evaluation framework for production: golden datasets, LLM-as-judge scoring, CI gates and live sampling that catch regressions early.
13 May 202610 min read
AI Strategy
Enterprise AI Trends 2026: What's Delivering ROI
The enterprise AI trends that matter in 2026: what is delivering ROI, what is stalling and where budgets are moving, drawn from 500+ projects with real clients.
20 March 20269 min read
Software Development
RAG Architecture in Production: Enterprise Lessons
Why most RAG systems fail in production — and how to fix them. Chunking strategies, retrieval tuning, and hard lessons from real enterprise deployments.
10 March 202611 min read
AI & Machine Learning
Enterprise LLM Fine-Tuning: When It Beats RAG
Should your enterprise fine-tune an LLM or use RAG? A practical decision framework, the hidden costs and five production patterns from real deployments.
3 March 202611 min read
Get Started
Ready to Get Started?
Book a free 30-minute call with us to identify quick wins and show you what's possible.