What is HexGrid.cloud ?
HexGrid.cloud is a managed inference platform for deploying and fine-tuning open-source AI models.
It gives developers and AI teams a faster way to deploy models like Llama, Qwen, Gemma, DeepSeek, embedding models, rerankers, and other production inference workloads on dedicated GPU infrastructure.
Instead of stitching together cloud GPUs, serving frameworks, storage, gateways, certificates, authentication, logs, and billing systems yourself, HexGrid.cloud provides a unified deployment path.
Why we are building this
Open-source AI is becoming the default choice for teams that care about control, customization, cost, and privacy.
But deploying open-source models well is still too difficult.
Every model has different serving requirements. Some models need larger GPUs. Some work well on efficient GPU setups. Some need quantization. Some need long-context support. Some are optimized for reasoning, chat, embeddings, or reranking. The right deployment setup depends on the model, the workload, the region, the latency target, and the cost target.
Most teams do not want to spend their time figuring out all of that infrastructure.
They want to build products.
HexGrid.cloud exists to remove the unnecessary complexity between choosing a model and running it in production.
Dedicated GPUs, private by design
A core belief behind HexGrid.cloud is that production AI workloads deserve isolated infrastructure.
Your model should not be running inside a shared inference pool where performance is unpredictable and infrastructure boundaries are unclear.
With HexGrid.cloud, deployments run on dedicated GPU capacity. Your model, weights, adapters, and assets stay attached to your environment. Your endpoint is private. Your API is authenticated. Your traffic goes through a production-ready HTTPS interface.
This gives teams a cleaner foundation for serving AI workloads that need privacy, reliability, and predictable performance.
OpenAI-compatible, without giving up control
The best infrastructure disappears into the workflow teams already use.
That is why HexGrid.cloud exposes models through OpenAI-compatible APIs. Developers can use familiar request patterns, API keys, HTTPS endpoints, and client integrations while running open-source models on private GPU infrastructure.
This makes it easier to move from closed model APIs to open-source models without rewriting your entire application stack.
You get the interface your apps already understand, with more control over where and how your models run.
Built for production workflows
HexGrid.cloud is not just a GPU rental interface.
The platform is built around the full path from model to production endpoint:
The goal is to make production inference feel operationally simple without hiding the important controls teams need.
Transparent GPU pricing
AI infrastructure should be easier to reason about.
HexGrid.cloud is designed around transparent GPU pricing, flexible billing, and practical capacity choices. Teams should be able to find the right GPU for the workload without overbuying, guessing, or committing to long-term infrastructure decisions too early.
Whether you are experimenting, scaling an application, or preparing for heavier production usage, the platform is built to help you match GPU capacity to actual workload needs.
Who HexGrid.cloud is for
HexGrid.cloud is for builders who want the power of open-source AI without the operational drag of managing everything themselves.
If your team wants to deploy open-source models without becoming an infrastructure team, HexGrid.cloud is built for you.
What we believe
We believe open-source AI should be easier to deploy.
We believe teams should be able to run models privately without weeks of MLOps work.
We believe GPU infrastructure should be transparent, flexible, and production-ready.
We believe developers should be able to use familiar APIs while keeping control over their models, data, and deployment environment.
Most importantly, we believe the next generation of AI products will be built by teams that can move fast from model selection to production deployment.
HexGrid.cloud is our attempt to make that path simpler.
A private runtime for open-source LLMs.
Dedicated GPUs without infrastructure complexity.
Production AI inference, launched in minutes.
Website: https://hexgrid.cloud
Github: https://github.com/hexgrid-cloud
HugginFace: https://huggingface.co/hexgridcloud