From large-scale model training to global inference delivery — explore how GigaX transforms your compute infrastructure.
High-performance GPU clusters at a fraction of US/EU costs. No infrastructure headaches — just pure compute power delivered to your pipeline.
Renting top-tier GPUs from US cloud providers is prohibitively expensive for training large foundation models at scale.
Setting up your own infrastructure requires massive CapEx, long procurement cycles, and specialized ops teams.
Foundation model training requires thousands of GPUs running continuously. Public clouds can't always guarantee availability.
Equivalent compute performance to US counterparts at 40-50% lower cost.
Elastic resource allocation with pay-per-GPU-hour billing. Scale up or down instantly.
Dedicated routing ensures your training jobs run with maximum stability and minimal interruption.
Automated model checkpointing and resume capabilities for long-running training tasks.
Deliver lightning-fast AI inference to users worldwide by leveraging our 500+ global PoPs and intelligent routing. Zero overseas infrastructure management required.
Deploying infrastructure across APAC, MENA, or LatAm requires significant investment and ongoing maintenance.
Direct access to compute in China from overseas users suffers from unpredictable public internet latency.
Your user base is global and unpredictable. Manual scaling is too slow to keep up with demand.
SD-WAN with intelligent routing automatically selects the optimal path to our compute clusters.
Your data stays in your local cloud. Only compute workloads run in our high-performance clusters.
Seconds-level scaling handles traffic bursts automatically. No manual intervention required.
REST API, gRPC, and WebSocket support for seamless integration with any AI application.
Get instant access to national supercomputing resources without the bureaucratic procurement process. Perfect for research institutions, universities, and enterprise R&D labs.
National HPC centers in many countries have months-long queues. Research timelines suffer.
Complex simulations require both traditional HPC (SLURM) and modern AI (K8S) workloads in one environment.
Cross-border access to compute resources involves lengthy procurement, compliance reviews, and contract negotiations.
Directly linked to 9 national-level supercomputing centers for instant resource access.
Manage HPC (SLURM) and AI (Kubernetes) workloads from a single, unified console.
Pay by GPU-hour, Token, or HPC core-hour. Choose the model that fits your research budget.
Secure, high-speed data transfer tools to move datasets to and from compute resources.
Agentic AI demands long-running stable compute, high-frequency tool calls, and state management. GigaX delivers an Agent-native compute and orchestration layer.
Standard instances get preempted mid-task, breaking multi-step agent workflows.
Function Calling / MCP round-trips become a bottleneck without optimized routing.
Multi-turn dialogue and long documents inflate inference cost without caching.
Native parallel scheduling and task decomposition; long jobs run uninterrupted.
Function Calling & MCP compatible, with low-overhead forwarding.
KVCache reuse and context caching drastically cut redundant compute.
Isolated sandboxes keep agent runs secure and compliant.