Standard cloud isn't tuned for AI. Billow designs AI cloud infrastructure — GPU compute, high-speed networking and parallel storage — sized for training and inference across AWS, Azure and Google Cloud, so your accelerators stay busy and your bill stays honest.
AI cloud infrastructure is the specialized compute, networking and storage that AI workloads need to run efficiently. Where a standard cloud environment is built around general-purpose CPUs and ordinary disk, AI infrastructure centers on GPU (or other accelerator) compute, high-bandwidth low-latency networking to keep those GPUs fed, and high-throughput parallel storage — all sized and configured for AI training and inference rather than everyday applications.
The difference matters because AI workloads are bound by GPU throughput and data movement, not CPU cycles. Provision AI on a general-purpose setup and expensive accelerators sit idle waiting on slow storage or networking — burning budget while jobs crawl. Purpose-built cloud infrastructure for AI keeps accelerators saturated, so you get the performance you're paying for.
Billow designs and builds AI-ready infrastructure across AWS, Azure and Google Cloud — from a single fine-tuning environment to multi-GPU training clusters and cost-efficient inference serving — with FinOps discipline applied to some of the most expensive capacity in the cloud.
Every layer of your AI infrastructure services, designed to work together — so accelerators stay busy and data moves fast.
Right-sized GPU instances and multi-GPU clusters for training, fine-tuning and inference — matched to your model size, framework and budget.
Low-latency, high-bandwidth interconnect so multi-GPU and multi-node jobs aren't bottlenecked moving data between accelerators.
High-throughput storage and data loading that keeps GPUs fed — no expensive accelerators stalling on slow disk.
Kubernetes, Slurm or managed schedulers to queue jobs, share GPUs across teams and scale clusters up and down on demand.
Environments wired for experiment tracking, model registries and CI/CD — so your data scientists build on solid ground, not one-off setups.
Spot and reserved capacity, autoscaling and utilization monitoring — FinOps applied to GPU spend so you pay for accelerators that work.
Training, fine-tuning, inference and retrieval each stress infrastructure differently. We design for the workload you're actually running.
Multi-GPU clusters with fast interconnect for training and large-scale fine-tuning — burst the capacity, then release it.
Low-latency, autoscaling infrastructure that serves models cost-efficiently and scales with real demand.
Compute and storage for embeddings, vector databases and retrieval pipelines behind generative AI applications.
Accelerated environments for simulation, analytics and experimentation — shared across teams with fair scheduling.
We build on the accelerator instances of all three clouds — and advise on the right platform and instance types for your models, rather than defaulting to one.
GPU & accelerator instances
GPU VMs & AI platform
GPU & TPU
01
We map your models, frameworks, data volumes and budget — and whether you're training, serving or both.
The right accelerators, networking, storage and orchestration on the platform that fits — sized to the workload, not guessed.
Provisioned as code, with schedulers, monitoring and MLOps foundations wired in from the start.
Ongoing utilization and cost tuning — spot, reserved and autoscaling — so GPU spend tracks real work.
AI infrastructure is one piece. These connect to it — from the data that feeds your models to the teams that build them.
The full cloud practice this sits within — migration, DR, DevOps, FinOps and AI infrastructure across AWS, Azure and Google Cloud.
The models and agents that run on this infrastructure — generative AI, machine learning, data engineering and AI agents.
The FinOps discipline baked into our managed services — available as a focused engagement too.
Tell us what you're training or serving, and where — we'll come back with a right-sized, costed design that keeps your accelerators busy.
