Tiada

Solutions

Solutions by workload

Every use case runs on enterprise NVIDIA hardware with a validated software platform — sized to your workload.

01

Sovereign AI & LLMs

Run open models — Llama, Qwen, DeepSeek, Gemma — entirely on-prem. Zero bytes of weights, prompts or usage leave the box. PII masking and guardrails run fully offline.

  • Zero cloud egress
  • Offline guardrails & PII masking
  • Per-project isolation & audit log

Recommended hardware

NVIDIA HGX H200 · 8 GPU

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02

High-Throughput Inference

One OpenAI-compatible gateway in front of vLLM, SGLang, llama.cpp and TensorRT-LLM. Per-project keys, token quotas, autoscaling on KV-cache pressure.

  • vLLM / SGLang / TensorRT-LLM
  • Tensor parallelism for 70B+
  • TPM quotas & routing

Recommended hardware

NVIDIA HGX B200 · 8 GPU

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03

Accelerated Kubernetes & VMs

Bring your own containers as services, jobs, scheduled jobs or virtual machines — with GPU fractions down to ¼ card, guaranteed queues and borrowing of idle capacity.

  • Fractional GPU to ¼ card
  • Fair-share queues
  • Services, jobs & VMs

Recommended hardware

NVIDIA DGX Station · GB300

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04

AI Data Fabric & Storage

NVMe model store, S3-compatible buckets per project, Hugging Face volumes and one-click vector databases — Qdrant, Milvus, Weaviate, PostgreSQL.

  • S3-compatible buckets
  • Up to 60 TB NVMe
  • Vector & SQL marketplace

Recommended hardware

NVIDIA HGX H200 · 8 GPU

View solution briefs