Plenty of companies will sell you "AI." Far fewer own the infrastructure it runs on. The FirstCoreAI AI Factory is physical compute we operate ourselves — GPU nodes running production inference, evaluated against the best frontier APIs so we know exactly where each model earns its place.
A dedicated GPU cluster built on current-generation NVIDIA Blackwell-class hardware, paired with AMD EPYC compute and over a terabyte of system RAM per node. Distributed serving tuned for the throughput and concurrency of production traffic rather than leaderboard runs.
An 80B mixture-of-experts coding model (131K context), a 31B general chat model (128K context), vision-language, speech-to-text, multilingual embeddings, and a retrieval reranker — all live on the Factory today. Where a workload genuinely needs a frontier API, we route to one.
Every model is delivered as an OpenAI-compatible HTTP API — chat completions, embeddings, audio transcriptions, rerank — bearer-token authenticated, TLS-terminated at the cluster edge. Any SDK that talks to OpenAI talks to the Factory without code changes.
A multi-terabyte NVMe array holds the shared model cache, NFS-mounted across the cluster — sized for production model swapping without re-downloads. A high-throughput in-band fabric between nodes carries the distributed-serving traffic; out-of-band management is segregated.
Measured on the production cluster under real serving conditions — not lifted from a vendor slide.
Median from request to first streamed token, staying under a second at the median during concurrent bursts.
Sustained across the cluster at the peak of the full stress run.
Every request in the stress-test suite completed cleanly, at every concurrency level tested.
Kubernetes for orchestration. Run.ai for GPU-aware scheduling and project-level resource quotas. vLLM for the inference runtime, exposing an OpenAI-compatible API on every model. HAProxy and a Knative-class gateway terminate TLS at the cluster edge; pod-level OAuth2 proxies validate each request.
Bearer-token authenticated. No client SDK changes when migrating from OpenAI. Model storage on a shared NVMe NFS cache fed from HuggingFace Hub. Grafana and Prometheus for the operations side. The same engineers who run the Factory are the people you talk to when something needs tuning.
We don't guess. Every model we put into production is benchmarked on our own hardware against frontier APIs for the specific job — accuracy, latency, throughput under real concurrency, and cost per unit of work. Sometimes a self-hosted open model wins outright. Sometimes a frontier API is worth the premium. Either way, you see the evidence before you commit.
We'll walk you through the hardware, the model catalogue, and a workload running live.
