
Gcore
Best for Global AI Deployment, High-Performance Compute, Edge Inference

Fireworks.ai is a high-performance generative AI platform that abstracts away GPU infrastructure, delivering production-grade inference as an API. Founded by…
Fireworks.ai is a high-performance generative AI platform that abstracts away GPU infrastructure, delivering production-grade inference as an API. Founded by former PyTorch engineers, Fireworks.ai utilizes highly optimized, custom inference engines to run Large Language Models (LLMs) and multimodal models at unprecedented speeds. By serving models significantly faster and cheaper than standard cloud deployments, it allows enterprises to integrate AI deeply into their products. It supports open-source models, LoRA fine-tuning, and seamless OpenAI-compatible endpoint migration.
| GPU Models | H100, A100, H200 |
| GPU Types | A100, H100, H200 |
| Headquarters | Redwood City, CA |
| Founded | 2022 |
| Availability | Available Now |
| Website | fireworks.ai ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Fireworks.ai GPU cloud pricing starts from $0.80/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Fireworks.ai offers H100, A100, H200 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Fireworks.ai operates data centers in EU, US. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Fireworks.ai and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Fireworks.ai offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

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