Run the best open source LLMs without touching GPU infrastructure.
Xgpu gives developers one OpenAI-compatible API for serverless GPU inference. Access leading open model families, stream responses, and scale from prototype to production without provisioning GPUs.
Serverless Inference
Pay only per token generated. Zero idle GPU costs, zero capacity planning guesswork.
OpenAI Compatible
Change one line of code in Python/Node SDK to point to Xgpu endpoints.
Multi-Model Routing
Switch dynamically between Llama 4, DeepSeek R1, Qwen3, and Mistral.
Enterprise Reliability
ISO/IEC 27001:2022 certified infrastructure built on 25 years of discipline.
Elastic Autoscaling
Traffic spikes handled automatically with zero MLOps headcount required.
GPU rental is the wrong starting point for most AI products.
GPU rental solves access to hardware. It does not solve the application problem. Your team still has to provision, configure, monitor, scale, optimize and pay for capacity before product demand is predictable.
Always-on GPU infrastructure
High fixed cost, heavy MLOps overhead, and wasted idle capacity.
H100 costs $2.50–$3.50/hr — ~$2,000/month even when completely idle.
Days to provision; requires specialized MLOps expertise to configure.
Autoscaling, utilisation monitoring, and failure handling — all your team's problem.
Each model family needs its own serving setup and infrastructure pipeline.
2–3 engineers minimum required to operate serving clusters at production reliability.
Capacity planning is guesswork — either over-provisioned or hitting bottlenecks.
Pay only for what you use
Zero idle cost, single endpoint integration, and automated elastic capacity.
Billed per million input / output tokens — pay only when generating responses.
First response in under 60 seconds — just update a single config base_url line.
Autoscaling, smart model routing, and 24/7 monitoring — all platform responsibility.
All model families accessible through one consistent OpenAI-compatible API.
No dedicated MLOps headcount required to run production AI inference at scale.
Capacity scales seamlessly — traffic spikes and unexpected bursts handled automatically.
One API between your application and the inference layer.
Xgpu abstracts the operational path of AI inference: authentication, model selection, request routing, GPU execution, streaming output and usage visibility behind one developer-friendly API.
The best open source LLMs. Through one API.
Build with Llama, DeepSeek, Qwen, Mistral and other open model families through a consistent API surface. Switch model families by changing the model parameter instead of rebuilding your serving stack.
Pay for inference. Not idle infrastructure.
Xgpu is designed around measurable AI inference usage. Instead of reserving GPU capacity before you know demand, pay for the tokens your application processes.
Token-oriented economics
Every request has an input side and an output side. Input tokens carry your prompt, context and instructions. Output tokens are generated as the model responds. Pricing should make both visible before you scale.
Plans for every stage
Developer for prototypes. Growth for production AI features. Enterprise for security review, procurement, dedicated needs and structured evaluation.
AI inference for the products your users actually touch.
Use Xgpu to add assistants, copilots, search, summaries, extraction and reasoning workflows to your application without building a GPU infrastructure team first.
SaaS AI features
Connect your product to open-source LLMs through one API. Ship assistants, summaries and workflow automation faster.
RAG and search
Create embeddings, retrieve relevant content and send grounded context into model responses.
Code generation
Use coding-oriented models for completion, review, test generation and internal developer tools.
Document intelligence
Summarize, classify and extract information from reports, contracts, policies and support records.
Customer operations
Power response drafts, ticket summaries, knowledge search and internal assistants.
Model experiments
Try open model families without standing up separate GPU infrastructure for every experiment.
Built for Teams That Need Speed & Reviewability
Xgpu brings serverless GPU inference into an operating environment designed for serious product teams, security reviewers, and enterprise buyers.
Certified Security
Indsoft Systems is ISO/IEC 27001:2022 certified. Comprehensive organizational security control framework.
Data Handling Clarity
Full transparency over request data: zero log retention policies for prompts and responses during inference.
Granular Team Scopes
Team member roles, model-scoped API keys, rate limits, and budget caps configurable per environment.
Dedicated Evaluation
Bring security, compliance, dedicated endpoints, and procurement questions to the Xgpu team.
Keep the request shape. Change the endpoint.
Already using OpenAI-compatible clients? Xgpu is designed to minimize migration friction. Keep the request format familiar and route inference to open model families through Xgpu.
Pay for Inference. Not Idle Infrastructure.
Transparent token-oriented plans published live from our pricing catalog. Scale capacity effortlessly as your inference needs grow.
Developer
Ideal for prototypes, indie builders, and open model evaluation.
Growth
For production AI applications that need higher throughput and scale.
Enterprise
Dedicated GPU capacity, custom SLAs, and enterprise compliance.
Pay-As-You-Go Token Packages
Need on-demand capacity without changing your monthly subscription? Add top-up tokens anytime. Tokens never expire while your account is active.
Starter Boost
Ideal for testing workflows, prototypes, and topping up burst volume.
Pro Volume Pack
Best balance of token volume and extended validity for production apps.
Scale Ultra Pack
Maximum token volume with lowest effective cost for high-scale inference.
Start with one request. Scale when the product is ready.
Get early access to Xgpu and start building with serverless GPU inference for open models. We will use the first developer preview to validate workloads, model demand and production requirements.