flex.aiCrawled Oct 31, 2026
Fine-tune LLMs and vision models with zero infrastructure setup. Support for QLoRA, PEFT, and full fine-tuning on NVIDIA and AMD GPUs.
Train AI models at scale with self-healing infrastructure, automatic checkpointing, and support for DeepSpeed, FSDP, and Flash Attention 2.
FlexAI supports running agents on any runtime, model, or hardware, governs execution through a harness, and provides an audit trail.
FlexAI provides reserved GPU throughput for models and fine-tunes on an OpenAI-compatible account, enabling migration from serverless without disruption.
How AI companies build on FlexAI: LegML cut compute costs 75%, DragonLLM shipped in-country inference at >99.9% uptime, Pixelcut moved to pay-per-use fine-tuning.
The page discusses AI infrastructure, GPU optimization, model deployment, and managed inference.
LegML fine-tuned a 32B legal LLM that outperformed Mistral's flagship: 50% fewer parameters, ~75% lower compute cost, €22.5K total training on FlexAI H100.
How Pixelcut fine-tuned their image generation model on FlexAI with pay-per-use pricing, zero DevOps, and fast time to production.
FlexAI is hiring engineers, product managers, and go-to-market leaders across Europe.
FlexAI prices every open model at the credible market rate: per-token serverless, per-GPU dedicated (H100 from $2.10/hr), and custom private cloud.
How FlexAI compares to 13 providers including AWS Bedrock, OpenAI, Anthropic and Fireworks, with what each one does better.
FlexAI contrasts its hosted API for frontier closed models with open-weight models that users can route, own, and deploy within their own systems.
FlexAI compares its per-model pricing and open catalog with AWS Bedrock on an OpenAI-compatible API, avoiding AWS-native service dependencies.
FlexAI vs CoreWeave: the managed AI layer above raw GPU compute, with Token Factory, AgentOS, fine-tuning, and dedicated endpoints on one account.
How FlexAI is built: serving benchmarks and methodology, heterogeneous NVIDIA and AMD compute, distributed training and RL, and the agent harness.
Managed inference, agents, and dedicated compute from the team behind Aurora and 50,000+ GPUs at Intel, all behind one OpenAI-compatible key.
FlexAI offers meetings to demonstrate its AI infrastructure platform for accelerating workloads.
FlexAI offers an AI cloud platform for building, running, and scaling AI, from models to agents, with options for managed inference or private cloud deployment.