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About HexGrid.cloud
What is HexGrid.cloud?
HexGrid.cloud is a GPU deployment platform that allows you to run open-source large language models (LLMs) — like Llama 3.3 70B, Gemma 4, Qwen 3, and GPT-OSS — on dedicated, private GPUs without managing any infrastructure. You choose a model, pick a GPU (from $0.49/hr up to $8.50/hr), and get a secure, OpenAI-compatible HTTPS endpoint in under 10 minutes.
What problem does it solve?
Deploying LLMs in production normally requires significant DevOps work: setting up inference servers, managing autoscaling, and optimizing GPU utilization. HexGrid.cloud fixes that with an optimized engine (built on vLLM, SGLang, TensorRT-LLM) that delivers up to 3.2× more throughput per GPU, cut cost per token by 60%, and achieve 94% GPU utilization. You don’t waste time on infrastructure—just ship your AI features.
Who is it for?
It’s ideal for AI product teams, startups, and enterprises that want to run private, customized LLMs with full data control. It’s also great for developers who want to integrate open-source models via an OpenAI-compatible API with minimal code changes. However, if you’re looking for a fully-hosted, serverless model-as-a-service (like OpenAI’s API), HexGrid.cloud might be overkill—it’s designed for those who want dedicated GPUs and self-hosted privacy.
Real use cases
Developers use HexGrid.cloud to build RAG workflows on Llama 3.3, coding assistants with Devstral Small-2, or reasoning apps with Nemotron. Enterprises deploy private chatbots, document summarization, or code generation tools without sending data to third-party APIs. The platform offers US, EU, and APAC regions, so latency can be optimized for your users.
Key features
- One-click LLM deployment — Choose from open-weight models like Llama 3.3, Gemma, or Qwen, and get a live API endpoint in under 10 minutes.
- Dedicated GPU instances — Pick from RTX PRO 6000, L40S, H100, H200, and B200 with 24–180GB VRAM, priced per hour.
- OpenAI-compatible API — Swap one line in your existing client (base_url and bearer token) and it works—no code rewrites.
- Private & secure — Your own SSL certificate, bearer auth, and VPC-like isolation; data stays on your dedicated GPU.
- Autoscaling & observability — Scale on demand with CLI/API automation, plus built-in rate limiting and request monitoring.
- Optimized engine — Powered by vLLM, SGLang, and TensorRT-LLM for 3.2× more throughput and 60% lower cost per token.
SaaSpartout Score
7.6
/10
Editorial score from our review methodology — not user ratings.
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HexGrid.cloud Pricing
HexGrid.cloud pricing: from $2.30/hr.
Pay-as-you-go GPU pricing
Start with RTX PRO 6000 at $2.30/hr—the best value. All supported models run on any GPU at the same hourly rate. No hidden fees, pay per second.
Nvidia L40S
48GB VRAM, 24 vCPU, 96GB RAM — $2.40/hr. Good for medium-size models and cost-sensitive workloads.
Nvidia H100
80GB VRAM, 16 vCPU, 200GB RAM — $4.70/hr. High-end for heavy inference.
Nvidia H200
141GB VRAM, 16 vCPU, 200GB RAM — $5.40/hr. For very large models or long context.
Nvidia B200
180GB VRAM, 20 vCPU, 224GB RAM — $8.50/hr. Top performance for multi-model or demanding workloads.
Get $5 free credits
New users get $5 in free credits to test deployment. Contact sales for self-host or reserved capacity pricing.
Frequently asked questions
How much does HexGrid.cloud cost?
HexGrid.cloud charges per GPU hour, starting at $2.30/hr for RTX PRO 6000. Models like L40S are $2.40/hr, H100 $4.70/hr, H200 $5.40/hr, and B200 $8.50/hr. You pay per second, with no long-term commitments.
Is there a free trial or free credits on HexGrid.cloud?
Yes, HexGrid.cloud gives new users $5 in free credits to test deployments. No credit card required to start.
Who is HexGrid.cloud best for?
It's best for developers and enterprises who need private, dedicated GPU inference for open-source LLMs—especially those with privacy requirements or wanting to avoid vendor lock-in. It's not ideal for small experiments or non-technical users; you need basic API integration skills.
What are top alternatives to HexGrid.cloud?
Alternatives include RunPod, Together AI, Modal, CoreWeave, and Lambda Labs. Each offers different pricing and features; HexGrid.cloud stands out for its one-click deployment and optimized performance.
Does HexGrid.cloud work with OpenAI-compatible clients?
Yes, you can use existing OpenAI SDKs or clients by changing the base_url and API key to your HexGrid endpoint. It's fully compatible with /v1/chat/completions.
What models are available on HexGrid.cloud?
It supports open-weight models like Llama 3.3 70B Instruct, Gemma 4 31B, Nemotron-3 Nano 30B, Qwen 3.6 27B, Devstral Small-2 24B, and GPT-OSS 120B. New models are added regularly.
