Enterprise AI
Computing Power
Distributed GPU clusters for AI training, inference, and autonomous agents. Pay-per-use, global deployment.
Built for AI at Scale
A globally distributed GPU fabric designed for the most demanding training and inference workloads.
Choose the Right Silicon
From consumer-grade inference to frontier-model training — we have a tier for every workload.
H100 Cluster
80GB HBM3, NVLink — for large LLM training and high-throughput inference.
- LLM pretraining (70B+)
- Distributed training with NCCL
- FP8 / BF16 / FP16
- Priority scheduling
A100 Cluster
40GB / 80GB HBM2e — the proven standard for inference and fine-tuning.
- Inference at scale
- LoRA / QLoRA fine-tuning
- Multi-modal workloads
- Best $/FLOPS balance
RTX 4090 Cluster
24GB GDDR6X — cost-effective inference, dev/test, and small fine-tunes.
- 7-13B model inference
- Dev / staging environments
- Image / video generation
- Lowest unit cost
What Runs on KHB AI Cloud
Six productized services, each backed by a managed control plane and 24/7 on-call.
LLM Training
Distributed pretraining — from 7B to 70B+ with NCCL, DeepSpeed, and Megatron.
Inference Endpoints
OpenAI-compatible API, autoscaling, and sub-100ms p50 latency.
Fine-tuning
LoRA, QLoRA and full SFT pipelines with managed datasets.
AI Agent Hosting
Run LangGraph / AutoGen / CrewAI agents with tool sandboxing.
Vector Database
Managed Milvus / Qdrant with billion-scale recall and sharding.
MLOps Pipeline
Model registry, evaluation, drift monitoring, and CI/CD for ML.
Workloads We Power
A snapshot of production workloads running on KHB AI Cloud today.
Foundation Model Training
Frontier-grade pretraining of domain-specific LLMs for enterprise customers.
Customer Service AI
Multi-lingual support agents with sub-second latency and CRM integrations.
Content Generation
Marketing copy, blog posts, product descriptions and creative writing.
Code Generation
Copilot-style completions, repo-aware refactoring and bug detection.
Computer Vision
Object detection, OCR, visual inspection and video understanding.
Speech AI
Real-time STT / TTS, voice cloning, and meeting transcription.
Pay Only for What You Use
Three commercial models, tailored to your workload pattern.
On-demand
- GPU-hour metered usage
- Inference per-token pricing
- Self-serve via console / API
- Standard support
Reserved
- Capacity reservation
- Predictable monthly billing
- Priority scheduling
- 24/7 priority support
Enterprise
- Dedicated hardware / private cluster
- Single-tenant control plane
- Bespoke SLAs & compliance
- Dedicated TAM & solutions architect
Enterprise-grade from Day One
Aligned with the most demanding regulatory frameworks — globally.
Compute Questions, Answered
What's the difference between reserved and on-demand?
On-demand is metered per second with no commitment. Reserved gives you up to 60% discount in exchange for a 1-month to 3-year capacity commitment — ideal for steady-state inference workloads.
Can I bring my own model and weights?
Yes. We support custom model uploads in PyTorch, TensorFlow, ONNX and GGUF. You can also use our curated model library with one-click deployment.
Where is the data stored?
Data is stored in the region you choose (HK, Singapore, Frankfurt, US East/West). Enterprise contracts can pin to a specific country or single-tenant cluster.
Do you support multi-cloud failover?
Yes. Enterprise contracts include cross-cloud replication (AWS, GCP, Azure, on-prem) with automatic failover and zero-downtime upgrades.
Spin Up Your First Cluster
$100 in free credits for new customers. Production-ready in minutes, not weeks.
Get Quote