The platform
What we run on, and what runs on it.
The stack
Owned hardware, engineered end to end
Every layer (GPUs, storage, network, the building itself) is infrastructure Gigabrain owns and operates, not marked-up foreign cloud.
- 01Compute
- NVIDIA GPU architecture with elastic cloud orchestration: hardware you can point to, with higher-performance accelerators following as demand is validated.
- 02Storage & network
- All-flash NVMe storage on a 200 Gbit/s fabric. No egress fees and no hidden IOPS surcharges: the performance you provision is the performance you get, at the price you agreed.
- 03Cloud management
- Self-service within your quota, with Kubernetes as a service and managed platform services at fixed monthly rates. Scale on your own schedule, without raising a ticket.
- 04Resilient Facilities
- A solar-integrated, modular Tier III-spec facilities: low-carbon compute expanded module by module as demand is validated.
Workloads
Inference-first by design
Live in Johannesburg today, running production video and LLM inference. Reserve the capacity a workload needs and run it flat out.
LLM & RAG serving
Serve open or fine-tuned language models with retrieval over your own corpus, on sovereign endpoints, with no per-token meter on the capacity you reserve.
Embeddings & vector search
Embedding pipelines and locally hosted vector search, so semantic retrieval runs entirely in-jurisdiction.
Vision & video analytics
Real-time inference on camera and video streams: monitoring, analytics and safety workloads, processed on-shore.
Modelling & benchmarks
Fine-tune, evaluate and benchmark models on dedicated cards: full-throughput runs whose cost never moves with usage.