Three deployment tiers designed for the workloads most enterprise clients start with — from a single-GPU pilot to a multi-node training cluster. Every package ships with installation, model deployment, and a three-year support runway.
Each Bramivo AI server package is pre-validated against the specific workloads our clients actually run: private LLM inference on 8B–70B parameter models, RAG pipelines over enterprise document sets, computer vision at production throughput, and fine-tuning of open-weight foundation models.
We source hardware through authorised NVIDIA channels for Malaysia and Singapore, integrate it with the software stack you actually need, and deliver it commissioned and running — not boxed on a pallet.
Three reference configurations. Every package is customisable — GPU count, memory, storage, and networking scale to workload.
Pricing on request; SGD and MYR billing available.
All packages include: rack integration, power/cooling review, on-site commissioning, base OS & driver stack, private LLM deployment (one open-weight model of your choice), and knowledge transfer to your infrastructure team.
Extend any package with the services most clients add during scoping. All add-ons are priced separately and quoted per engagement.
Domain-adapted fine-tunes of open-weight foundation models on your internal corpus, with evaluation harness and rollback plan.
Ingestion, chunking, embedding, retrieval, and grounding — engineered end-to-end for your document estate and access model.
Bramivo's engineering team operates the appliance for you — patching, model updates, incident response, monthly reporting.
Model risk documentation, audit trail configuration, and reviewer-ready reporting for BNM, MAS, or internal risk committees.