Faster time to AI value
From zero to a working cluster in days, not months — self-serve where you want it, white-glove where you need it.
Bangkok · Thailand · Southeast Asia
High-performance GPU cloud and token-scale inference, engineered for the era of AI.
Why Infraeon
From zero to a working cluster in days, not months — self-serve where you want it, white-glove where you need it.
Purpose-built hardware with unvirtualized GPUs and InfiniBand — the performance you benchmarked is the performance you keep.
Designed for AI builders: MLOps tooling, serverless options and managed inference built in, not bolted on.
From a single experiment to production-scale environments — hourly, monthly or reserved, with room to grow.
Trusted by builders across the AI ecosystem
Our culture
Infraeon is run by the people who racked the servers, spliced the fiber and wrote the runbooks. Real experts, reachable by real channels — with security designed in from the first rack.
More about usAI infrastructure specialists reachable 24×7 — not a ticket queue.
Round-the-clock NOC and remote hands are standard on every plan.
White-glove architecture review and POC guidance before you commit.
ISO/IEC 27001-aligned operations and PDPA-conscious data handling.
Hear it from the field
Managed inference on dedicated GPU endpoints, with sensitive data resident in Thailand.
Slurm-managed GPU pods with checkpoint coaching for week-long runs.
Bare-metal inference nodes in a private cage with segmented networking.
Reliable performance at scale
What’s new in Infraeon
Managed inference with per-token pricing and OpenAI-compatible endpoints, hosted in Bangkok.
July 2026 Read more →Multi-node runs now scale closer to linear on every H100 and H200 cluster.
June 2026 Read more →Run containerized AI tasks without managing any infrastructure — billed only while running.
June 2026 Read more →Higher rack density and measurably better cooling efficiency for GPU-dense deployments.
May 2026 Read more →More on-net choice and shorter cross-connect lead times for colocation and cloud customers.
May 2026 Read more →GPU-aware orchestration now billed only on the resources your workloads actually consume.
April 2026 Read more →Contact sales
Tell us about your workload — training, inference, or something in between. An engineer will get back to you within one business day.
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