Float16.cloud
Thai-built LLM hosting and Thai-language fine-tuning platform for SEA developers
Float16.cloud is an LLM Hosting platform best for Thai banks, fintechs, and SMEs that need on-soil LLM inference without managing their own GPU servers. Its SEA edge is the only realistic option pairing Bank of Thailand-compliant on-soil GPU deployment with Thai-tokenized open models (Typhoon, SeaLLM, Pathumma) pre-loaded and billed in THB by a Thai entity with engineering support in Thai. Per-second GPU billing keeps costs predictable for variable workloads. Caveat: it's Thailand-only with limited reach into Indonesia, Malaysia, or Singapore, so regional SEA teams will still need a separate provider for multi-country deployments.
- ✓On-soil GPU deployment respects Bank of Thailand data residency rules
- ✓Thai-tokenized open models (Typhoon, SeaLLM, Pathumma) pre-loaded
- ✓Per-second GPU billing makes variable workloads cost-predictable
- ✓OpenAI-compatible API simplifies migration from GPT-4 or Claude
- ×Thailand-only focus limits regional deployment options
- ×Smaller ecosystem than AWS Bedrock or Azure AI for tooling depth
- ×Thai-tuned models still trail GPT-4 or Claude on general reasoning
- ×Less production-tested at very large enterprise scale
About Float16.cloud
Float16.cloud is a Bangkok-based AI infrastructure company offering serverless LLM hosting, Thai-tuned fine-tuning pipelines, and on-soil GPU deployment for Thai banks, fintechs, and SMEs that need to keep model inference inside Thailand. It supports Thai-tokenized open models (Typhoon, SeaLLM, Pathumma) and provides per-second GPU billing.
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The questions operators actually ask.
Is Float16 cheaper than AWS for Thai LLM workloads?
Often, yes. Per-second GPU billing in THB with no foreign cloud markup typically beats AWS Bangkok region pricing for variable Thai-language workloads, especially under steady volume.
Does Float16 satisfy Bank of Thailand data residency rules?
Yes. On-soil GPU deployment is one of Float16's main differentiators, and the BOT compliance conversation is simpler with a Thai entity than with AWS or GCP foreign-cloud setups.
Can I migrate from GPT-4 to Float16 without rewriting code?
Mostly yes. The OpenAI-compatible API lets you swap endpoints with minimal code change, though prompt tuning is needed to match output quality on Thai-tuned open models.