01
workload & needs
we identify the models, applications, users, privacy requirements and performance targets that matter to you.
local ai infrastructure
ai built around
the way you work.
cesro helps companies and individuals build local ai systems from a to z — from choosing the right hardware and models to installation, configuration, optimization and ongoing support.
(480) 400-7467what we do
one setup. designed around your needs.
we start with what you actually need to run, then build the hardware and software stack around it. no buying expensive hardware first and figuring it out later.
02
hardware selection
we size the system around your workload — gpu, vram, cpu, memory, storage and future capacity.
03
model selection
we help choose the right open models and configurations for your hardware, use case and quality requirements.
04
deployment
we install the operating environment, drivers, runtimes and inference stack and get your models running locally.
05
vllm inference
we deploy and configure vllm for fast, openai-compatible local inference, with settings tuned to your gpu and models.
06
api & access management
we can put litellm in front of your local models to manage api keys, users, budgets, usage and access from one gateway.
07
performance tuning
we configure the system for the workload, then test and tune memory use, latency, throughput and concurrency.
08
integration
we connect local models to the tools and applications you actually use, including apis, assistants and internal workflows.
local ai stack
the infrastructure behind your models.
we can build the serving and access layer around your local models, so a private ai machine can become a usable service for a team or an application.
01
vllm model serving
run compatible open models through a high-performance inference server with an openai-compatible api. we configure the serving stack around your gpu, model and workload.
02
litellm gateway
place a centralized gateway in front of your local models to control access, route requests and manage usage across users and applications.
03
keys & users
create separate api credentials and access policies for people, applications or teams instead of handing everyone the underlying model endpoint.
04
budgets & usage
track model usage and apply budgets or limits so you can understand consumption and control how the infrastructure is used.
vLLM
high-performance local model serving with an OpenAI-compatible API.
LiteLLM
a centralized gateway for API keys, access control, usage, budgets and model routing.
from a to z
from first question to working system.
the goal is not simply to install a model. the goal is to leave you with a local ai system that is practical, tested and ready for real work.
01 — understand
your goals, workload, budget, data and users.
02 — design
hardware, models and software architecture.
03 — deploy
install, configure, integrate and test the system.
04 — optimize
measure performance and tune the setup for real use.
keep your ai close to your data. run it on hardware you control, with a stack configured for the work you actually need to do.
start a conversation
tell us what you want to run.
we'll help you work out what hardware, models and setup make sense for your use case.
(480) 400-7467