Enterprise-grade GPU infrastructure for AI training, inference, and HPC — physically deployed across Southeast Asia. Zero CapEx. Maximum performance. Full data sovereignty.
We exist to democratize supercomputing infrastructure — giving every enterprise in Southeast Asia the same raw compute power that was once reserved only for global tech giants.
Frontier Innovation was founded on a single belief: transformative AI should not be limited by geography or capital expenditure. We architect and operate bare-metal GPU infrastructure so that researchers, startups, and enterprises across SEA can compete on a global stage — without the burden of owning hardware that depreciates the moment it ships.
Our data centers are physically anchored in Singapore, Malaysia, Indonesia, and Thailand. This means your AI workloads run with sub-5ms regional latency, your data never crosses borders you don't control, and you stay fully compliant with PDPA, PDPL, and evolving SEA data sovereignty mandates — without compromise.
We don't rent machines — we architect environments. Every cluster we deploy is purpose-built for heavy AI workloads: NVLink-connected GPU nodes, 400GbE InfiniBand fabric, all-flash NVMe storage arrays, and hardened private networking. Our team brings decades of hyperscale infrastructure experience to every single deployment.
From professional AI inference to frontier model training — our hardware lineup covers every workload across the enterprise AI spectrum.
The professional-grade workhorse. Purpose-built for high-efficiency AI inference, real-time rendering, complex 3D simulation, and digital twin environments. Ada's transformer engine and 3rd-gen RT Cores deliver breakthrough performance for visual computing and enterprise AI tasks that demand accuracy without the cost of flagship silicon.
The LLM powerhouse. NVIDIA's H200 redefines what's possible for large-scale generative AI training. With 141GB of HBM3e and 4.8 TB/s of memory bandwidth, it's the definitive platform for training foundation models, fine-tuning trillion-parameter LLMs, and running high-throughput inference at production scale — now available in our SEA cloud.
The frontier model accelerator. NVIDIA's GB300 represents a generational leap — the Grace Blackwell Superchip unifies CPU and GPU memory under a single coherent fabric, delivering unprecedented scale for organizations building the next generation of AI. This is not just more compute; it is a fundamentally new architecture for models that redefine what AI can do.
Need custom benchmark results or a tailored configuration?
Request Custom BenchmarkA fully managed, secure, and scalable GPU cloud platform — shifting you from heavy CapEx hardware procurement to agile, OpEx-based compute access.
Our GPUaaS model eliminates hardware ownership entirely. Instead of deprecating assets and managing hardware refreshes, your team consumes GPU compute on demand — paying only for what you use, scaling from a single GPU to an entire cluster in minutes. This is enterprise supercomputing as an operational expense.
Every customer environment is architecturally isolated at the network, storage, and hypervisor layer. We enforce strict tenant separation via SR-IOV passthrough, private VLAN segmentation, and end-to-end encrypted data paths. Your models, your weights, your data — they never touch another tenant's environment. Period.
A GPU starved of data is a GPU wasted. Our clusters are backed by 400GbE InfiniBand fabric delivering GPU-to-GPU bandwidth at near-wire speed, and paired with all-flash NVMe storage arrays capable of sustaining millions of IOPS. Your training pipelines will never wait on storage or network again.
Our infrastructure is purpose-designed to handle the most demanding parallel compute workloads across the enterprise AI spectrum.
For startups building custom foundation models and enterprises fine-tuning pre-trained LLMs on proprietary datasets. Our H200 and GB300 clusters provide the scale, memory bandwidth, and NVLink interconnect required for distributed training across hundreds of GPU nodes.
Deploy production inference endpoints that handle real-time user requests at massive scale. Our GPU clusters support high-throughput, low-latency inference for LLMs, image generation models, and real-time recommendation engines — all with the locality advantage of SEA-based infrastructure.
Massive parallel processing for industries where compute is the bottleneck — not the solution. From quantitative risk modeling to molecular dynamics simulation and seismic data processing, our HPC-grade clusters eliminate the wait between hypothesis and result.
Process video feeds, satellite imagery, and sensor data at scale. Our RTX 6000 Ada and H200 nodes are optimized for real-time video analytics, object detection pipelines, and large-scale image dataset processing for industrial and urban AI applications.
Photorealistic rendering, virtual production, and industrial digital twin simulation — powered by our RTX 6000 Ada fleet. NVIDIA's Ada Lovelace architecture with 3rd-gen RT Cores and DLSS delivers production-quality rendering at interactive frame rates.
Leverage our distributed SEA footprint to bring AI processing closer to the data source. With nodes across Singapore, Malaysia, Indonesia, and Thailand, we minimize data transit latency for smart manufacturing, logistics automation, and connected urban infrastructure projects.
Physical GPU infrastructure across Southeast Asia's key markets — delivering data sovereignty, ultra-low latency, and regulatory compliance in every deployment.
From on-demand bursting to long-term reserved clusters — choose the pricing model that fits your workload and budget.
We don't sell GPU time — we architect compute environments. Every engagement begins with a deep consultation to understand your exact workload, compliance requirements, and scaling trajectory. Then we design the right solution.