Web & GPU Hosting / DevOps
From a streaming website to an H100 training cluster. We host it, orchestrate it, and keep it running — the same infrastructure discipline behind our own platform serving 80 million+ API calls.
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What We Host
We provide managed hosting and DevOps for workloads that ordinary shared hosting cannot carry: high-traffic web platforms, live and on-demand video streaming, GPU training runs, and large language models served at production scale.
You can rent capacity, hand us your deployment, or have us design the whole stack. For organizations with data-residency requirements, everything can stay on Thai infrastructure or inside your own data centre.

Capabilities
Compute, containers and streaming, fully managed
Web / Live & Video Streaming
High-availability web hosting plus live and on-demand video streaming built to survive traffic spikes and large audiences.
H100 GPU Hosting & Training
NVIDIA H100 nodes for large model training and fine-tuning, with multi-GPU and multi-node configurations available.
RTX 4090 / 5090 / Pro 6000
Cost-effective GPU hosting on NVIDIA RTX 4090, RTX 5090 and RTX Pro 6000 for inference, rendering and smaller training jobs.
Docker Containers
Containerized builds, private registries and reproducible deployments so what passes staging is exactly what reaches production.
Kubernetes Clusters
Cluster design, GPU scheduling, autoscaling, ingress and rolling deployments — managed for you or handed over with training.
VM Virtualization
Virtual machine provisioning, resource isolation, snapshots and backup policies for mixed and legacy workloads.
Local LLM Hosting
Open-weight models served on your own hardware or ours, so sensitive prompts and documents never leave your perimeter.
Large-Scale LLM Hosting
High-throughput inference with vLLM, TensorRT-LLM or NIM, load balanced across GPUs with monitoring and cost control.
Infrastructure Management
Server provisioning, CI/CD pipelines, monitoring, logging, backups, patching and incident response as an ongoing service.
How We Onboard You
From first call to a monitored production system
Workload Review
We size your traffic, model and storage needs, then recommend the right GPU and node configuration
Architecture
Network, storage, container and scaling design, with data-residency and compliance constraints built in
Provisioning
Hardware allocated, cluster built, pipelines wired up, and your workload migrated
Load Testing
Benchmarks under realistic load so throughput and latency targets are proven before go-live
Operate & Monitor
24/7 monitoring, alerting, backups and capacity reviews under an agreed SLA
Use Cases
What our infrastructure customers run
Model Training Runs
Research teams renting H100 capacity for fine-tuning and pretraining without a capital purchase.
Private LLM Deployment
Banks and agencies serving open-weight models internally, with no prompt data leaving their control.
Live Event Streaming
Broadcast infrastructure sized for concurrent viewers, with recording and on-demand playback.
High-Traffic Web Platforms
Campaign sites and e-commerce systems that must stay up through launch-day and seasonal peaks.
Kubernetes Migration
Moving from hand-managed servers to orchestrated containers, with the team trained to run it afterwards.
Managed DevOps
Ongoing operations for organizations without an in-house infrastructure team.
Why Choose iApp Technology?
We run this infrastructure for ourselves every day
Operator, Not Reseller
We train our own frontier models and serve our own APIs on this hardware. You get engineers who have already solved GPU scheduling, model serving and cost control in production.
Thai Data Residency
Infrastructure that can stay inside Thailand or inside your own facility, meeting PDPA and public-sector governance requirements.
Pricing
Monthly or Usage-Based
GPU hosting is quoted per card per month, or hourly for short training runs. Web, streaming and managed DevOps are quoted on workload size and SLA. Tell us what you need to run and we will size it.
- ✓ Free workload sizing and architecture review
- ✓ Monthly, annual or hourly GPU options
- ✓ Monitoring, backups and patching included
- ✓ On-premise deployment available