We obsess over production inference. The same dedicated clusters fine-tune and train just as happily.
Serve models at low latency and high throughput on hardware tuned for cost per token. No noisy neighbors, no cold starts, no scramble for capacity when traffic spikes. It's reserved, and it's yours.
Tune and align open models on your own data, then serve them from the very same cluster. One footprint, no data shuffle.
When you need to train, the same clusters scale out to multi-node jobs over high-speed Ethernet or InfiniBand, built to OCP spec.
We deploy the right accelerator for your workload and keep you off any single vendor's roadmap.
The frontier. Enormous memory and bandwidth for the largest models, training and inference alike.
The proven workhorse. Battle-tested at scale for production inference and training.
Massive HBM capacity and strong price-performance for memory-hungry inference.
Purpose-built for serving. Exceptional tokens-per-watt and a lower cost per token on supported models.
Run it your way. Hand us the orchestration, or take the keys to the metal. Your call.
Point your app at Meridian with the OpenAI API you already use. Same calls, same SDKs, zero rewrites.
Hand us the scheduling: CUDA on NVIDIA, Slurm on everything else, Kubernetes across the board. Your engineers ship models instead of babysitting clusters.
Prefer the keys? Take bare metal and run your own stack top to bottom. You own the software, we keep the hardware healthy.
Reserved clusters that are yours alone, deployed fast across US Tier-1 metros, and priced around what it really costs to serve a token.
Your cluster is yours from the day it's racked. Dedicated capacity, steady performance, and room that's ready the moment your traffic shows up. Nothing shared, nothing to scramble for.
We match the chip to the job, NVIDIA or AMD, instead of selling you whatever's on the shelf. Ethernet or InfiniBand to OCP spec. You're never boxed in.
We bring GPUs into data-center space that's already built, so you skip the construction risk and the multi-year wait. You're live and serving real traffic in months, not years.
We spread capacity across several US metros and independent power markets, so your workload never rides on a single campus or a single grid.
You reserve the cluster and we set the price up front. It doesn't swing with power draw or demand spikes, so you know exactly what it costs to serve a token before you ever sign.
We watch the whole stack around the clock and stand behind it with SLAs. You focus on the product, we keep the lights on.
One platform, two homes. A commercial cloud for everyday AI, and a sovereign cloud for the workloads that can't leave the building or the border.
Dedicated, reserved capacity for teams running production inference, fine-tuning, and training. Open, standard operations across compute, storage, and Kubernetes. This is the engine.
Isolated, security-cleared capacity for critical infrastructure, regulated industries, and national governments. Data stays in-country, access is zero-trust, and compliance is built in from day one. Ready for CMMC, DORA, and the EU AI Act.
From frontier labs to regulated enterprises, dedicated capacity shaped to the way you actually work.
Three steps from first call to a cluster running your models.
Walk us through the model, the throughput and latency you need, where it should live, and for how long. We size the silicon and the cluster to fit, so you never pay for headroom you won't use.
We lock in your dedicated cluster and rack it in a US Tier-1 colo. Live in 2–6 months, often sooner for smaller footprints.
You serve your models. We handle power, cooling, health, and refresh, around the clock and under SLA. Scale up whenever you're ready.
Dedicated GPU clusters, live in months. Reserved capacity, your choice of silicon, and a team that actually picks up the phone. Let's talk capacity.
Or email info@meridiancloud.com