Unified Model Layer
Access commercial and self-hosted open models through the same OpenAI-compatible request format.
Explore Integration → UNIFIED AI INFRASTRUCTURE
Malaysia-Incorporated AI Infrastructure
for Global Enterprise Workloads
Access supported model providers through one OpenAI-compatible API, or deploy workloads on dedicated GPU infrastructure in approved locations. Provider selection, routing region and deployment location are configured according to customer requirements and service availability.
gateway.tuori.cloud
POST
/v1/chat/completions200 OKAI
GATEWAY
GATEWAY
GPT
Claude
Gemini
Qwen
DeepSeek
Llama
ROUTE STATUS
Malaysia Primary Region
99.95%0Available ModelsOne Unified API
0GPU TypesRTX 4090 → H200
0Service UptimeAutomatic Failover
SUPPORTED COMMERCIAL AND OPEN MODEL ECOSYSTEMS
OpenAIAnthropicGoogle GeminiMeta LlamaDeepSeekAlibaba QwenMistral AIxAICohere
01MODEL API
Multi-provider model access.
One Endpoint.
Models are updated continuously while your code stays unchanged. Use unified authentication, billing, smart routing, and automatic failover.
GPT-5Claude 4Gemini 2.5Grok 4Mistral LargeLlama 4DeepSeek V3Qwen3Kimi K2GLM-4.5Command R+Nova Pro
Smart Routing Layer
Route requests by latency, availability, and policy, with automatic fallback when a provider is unavailable.
See Platform Architecture →Dedicated Compute Layer
Single-tenant GPU bare metal for fine-tuning, private deployment, and high-throughput inference.
Browse GPU Capacity →02PLATFORM
From Request to Inference.
Fully Orchestrated.
We handle infrastructure complexity so developers can focus on products.
01ClientSDK / API
→02GatewayAuth & Rate Limit
→03SchedulerSmart Routing
→04GPU ClusterInference Runtime
100+Compute Nodes
Multi-regionMulti-region Deployment
100G+High-speed Network
24/7Status Monitoring
03BARE-METAL GPU SERVERS
Dedicated GPU Infrastructure.
Predictable Performance.
Single-tenant GPU infrastructure for AI inference, fine-tuning, model training and private deployment. Interconnect, storage and network configurations vary by GPU platform and deployment requirements.
Dedicated GPU Configurations
RTX 4090 / RTX 5090— Dedicated PCIe GPU servers
A100 / H100 / H200 SXM— NVLink or NVSwitch configurations available
High-speed Ethernet or InfiniBand may be provided for eligible multi-node cluster configurations.
GPU / MemoryIndicative Starting Price / GPU-hour
Prices are indicative and subject to capacity, configuration, commitment term, storage, network, support requirements and applicable taxes. Final pricing and availability are confirmed in the applicable quotation or Order.
04INTEGRATION
One Endpoint.
Production Ready.
Keep your existing SDK and application logic. Update the base URL, add your API key, select a model, and send your first request.
Create your workspace
Request access, verify your email, and create a workspace for development or production.
Create a scoped API key
Generate a key with model, budget, and environment restrictions. Store it in an environment variable.
Install an SDK
Use the OpenAI SDK for Python or Node.js, or call the HTTPS endpoint directly with cURL.
Configure the endpoint
Set base_url to https://api.tuori.cloud/v1, then configure timeouts and retries.
Choose a model
Select a model ID from the dashboard. Keep model names configurable instead of hard-coding them.
Send a test request
Start with a small non-streaming request, validate the response, then enable streaming and tools.
Handle production errors
Retry 429 and transient 5xx responses with exponential backoff and log the request ID.
Monitor usage
Track token usage, latency, budgets, rate limits, and fallback events in your dashboard.
01
Create an Account
Request access and create a scoped API key in your dashboard.
02
Configure the Client
Set the Tuori base URL, API key, timeout, and retry behavior.
03
Send and Monitor
Send requests, enable streaming, and monitor usage, errors, and limits.
FULL DOCUMENTATION
Open Docs →Authentication, streaming, tools, retries, examples, and error codes.
05WHY TUORI
Simpler Infrastructure.
More Reliable Operations.
One Account
Manage models, compute, permissions, and billing in one place.
Transparent Pricing
Clear usage visibility with no hidden platform charges.
Savings at Scale
Self-hosted open models and dedicated GPUs reduce infrastructure cost.
Reliable by Design
Multi-node routing, health checks, and automatic failover.
06FAQ
Frequently Asked Questions
01Can I use my existing OpenAI SDK?+
Yes. Keep the same request format and point your client to the Tuori Cloud base URL.
02What happens when a model request fails?+
The gateway can route to a healthy compatible endpoint based on your configured fallback policy.
03How is GPU bare metal billed?+
Hourly and monthly reservations are supported. Pricing depends on GPU type, node size, network, region, and commitment.
04Do you support private deployments?+
Yes. Dedicated nodes, isolated networking, and enterprise deployment options are available.
START NOW
Ready to Scale Your AI Workloads?
Share your model, GPU, capacity, region, and timeline requirements. We will recommend a suitable deployment.