Old rule: rent one GPU and pray. New reality: your model is a buffet destroyer. Fluidstack brings the feast, the plates, and the bouncers.
Fluidstack is an AI cloud built for serious speed. Spin up frontier GPUs like H200, B200, and GB200, scale to thousands on a single high-throughput fabric, and get zero-setup clusters in days. No egress fees. No mystery throttling. Just raw performance with full observability via Atlas OS and Lighthouse.
You get single-tenant clusters with full physical and operational security, plus HIPAA and GDPR alignment. That means you can ship private AI features without babysitting infrastructure. Auto-remediation and 24/7 engineering support keep uptime boring in the best way.
For online business owners, this means faster launches, lower latency, and predictable costs for AI products. Fine-tune models, power high-volume inference, or batch massive embeddings without waiting on quotas. Plug into your MLOps stack and keep your data where you want it.
Perfect for teams building LLM training and fine-tuning, high QPS inference APIs, recommendation engines, computer vision, or RAG pipelines. When “good enough” GPUs stop being good, Fluidstack is what's next.
Best features:
- Frontier GPUs on tap: H200, B200, GB200 for training and high-QPS inference without queueing
- Scale to 12,000+ GPUs on a single fabric for giant models and fast distributed jobs
- Zero egress fees and transparent pricing to keep AI unit economics sane
- Single-tenant clusters with full physical and operational security for compliance-heavy workloads
- Atlas OS and Lighthouse for orchestration, observability, and proactive auto-remediation
- Launch in days with 24/7 engineering support to unblock migrations and scaling
Spin up frontier GPUs, crush latency, and ship AI features without begging a hyperscaler for quota.
Use cases:
- Fine-tune an LLM for storefront chat that cuts response time and boosts conversion
- Serve high-volume recommendations and personalization for ecommerce without latency spikes
- Generate and A/B test ad creatives and product images at scale
- Batch-create vector embeddings for large catalogs to power RAG and search
- Run private inference for finance, health, or legal data with HIPAA and GDPR needs
- Train and deploy vision models for QC, fraud detection, or UGC moderation
Suited for:
Built for online businesses shipping AI features that crush a single GPU, need secure single-tenant performance, and want predictable costs with zero egress fees.
Integrations:
- Kubernetes, Docker, PyTorch, TensorFlow, JAX, Ray, Hugging Face, Weights & Biases, MLflow, GitHub Actions, Terraform, Apache Airflow, S3 compatible storage, Google Cloud Storage, Azure Blob Storage
