FluidCore operates AI-optimized data center infrastructure designed specifically for GPU-intensive workloads rather than traditional enterprise hosting.

Our facilities combine greenfield and co-located deployments engineered for extreme compute density and rapid expansion.

Key Capabilities

• Tier III & Tier IV certified uptime architecture (99.995% SLA)
• Advanced liquid and high-efficiency cooling designed for next-generation NVIDIA Blackwell clusters
• Scalable electricity provisioning with redundant power arrangements
• Modular expansion enabling rapid GPU capacity scaling

Unlike hyperscalers that retrofit legacy infrastructure, FluidCore infrastructure is designed AI-first from the ground up.

FluidCore provides dedicated GPU infrastructure optimized for distributed AI workloads requiring ultra-fast communication and storage throughput.

Our compute layer eliminates virtualization bottlenecks common in general-purpose clouds.

Compute Architeture

• NVIDIA H100 PCIe, H200 PCIe, B200, L40S, Furiosa, and AMD MI300X GPUs
• High-bandwidth GPU interconnects for multi-node training
• 400Gbps InfiniBand fabric enabling efficient distributed workloads
• RDMA-enabled parallel file systems optimized for checkpoint-heavy training

Performance Advantage

• Faster multi-GPU synchronization
• Reduced training time
• Consistent inference latency at scale

Designed for foundation models, enterprise AI, and large-scale inference pipelines.

FluidCore’s orchestration layer abstracts infrastructure complexity while preserving bare-metal performance.

Teams can deploy workloads without managing clusters, schedulers, or GPU allocation manually.

Platform Features

• Managed Kubernetes optimized for GPU scheduling
• Slurm-based HPC orchestration for enterprise training environments
• Intelligent workload prioritization across multi-tenant systems
• Automated failover and predictive health monitoring

Developer Experience

• Deploy via API, CLI, or Terraform
• Seamless integration with ML pipelines
• Scale from single GPU jobs to thousands automatically

Infrastructure reliability without operational overhead.

The AI Token Factory is FluidCore ’s inference platform — enabling developers and enterprises to deploy models without managing infrastructure.

Built for the shift from training-heavy AI to inference-first workloads.

Capabilities

• Serverless inference with scale-to-zero economics
• Automatic scaling based on demand
• OpenAI-compatible APIs supporting Llama, DeepSeek, Qwen, Mistral and more
• Transparent per-token pricing with no minimum commitments

Why It Matters

Inference is projected to represent the majority of AI compute demand. FluidCore optimizes GPU utilization specifically for serving models efficiently and economically.

Result

• Faster time-to-first-token
• Lower inference cost
• Production-ready AI deployment in minutes