echoloc
Get started
echoloc/ Companies/ Fluidstack

Fluidstack Tech Stack

GPU compute infrastructure for AI training and inference at scale

Technology, Information and Internet New York, NY 51–200 employees Founded 2017 Privately Held
fluidstack.io LinkedIn

Fluidstack operates a physical compute infrastructure business deploying GPUs for AI workloads, with active construction and capacity-upgrade projects across multiple data centers. The hiring mix—engineering-heavy with significant ops and security headcount—and the stack (Kubernetes, SLURM, dark fiber, BMS, Siemens controls) reflect the capital-intensive, real-time operational demands of hyperscale facilities. Current pain points center on civil cost risks, permitting delays, and cooling optimization across distributed sites, indicating Fluidstack is scaling beyond single-location deployments.

Tech Stack 157 technologies

Core StackAdobe Sign Primavera P6 Procore Smartsheet Confluence AWS Revit Kubernetes Go Python Ansible Terraform Siemens Google Drive Google Slides Microsoft Project GCP Azure OCI SLURM Bash OTDR BMS Cat6a AutoCAD Electrical ETAP Bluebeam Revu Schneider Electric ABB dark fiber+123 more
AdoptingERP

What Fluidstack Is Building

◆Challenges

  • Civil cost risks
  • Secure data center deployment
  • Capacity upgrades for hyperscale data centers
  • Ipo readiness
  • Unforeseen risks and blockers
  • Managing supplier lead times
  • Optimizing data center utilization
  • Design review for new data centers
  • Scaling cooling across multiple sites
  • Permitting delays risk time and cost

▲Active Projects

  • New data center construction
  • Capacity upgrades
  • Design hiring infrastructure and reporting metrics
  • Data center medium voltage distribution design
  • Automation and digital workflow implementation
  • Disaster drill implementation
  • Core employee lifecycle process execution
  • Build playbooks and templates for design and engineering
  • Design sourcing playbooks and assessment frameworks
  • Hyperscale data center commissioning

Hiring Activity

Accelerating240 roles · 130 in 30d

Department

Engineering
108
Ops
39
Security
28
HR
21
Finance
16
Construction
6
Logistics
5
Marketing
5

Seniority

Senior
112
Mid
39
Lead
36
Manager
23
Director
14
Junior
8
Staff
7
Principal
2

Notable leadership hires: Tax Director, Treasury Director, Director of FP&A

Company intelligence

Find more companies like Fluidstack by tech stack, pain points and active projects

Get started free

About Fluidstack

Fluidstack provides GPU compute infrastructure for AI training and inference, serving AI labs, governments, and enterprises. The company operates multiple data centers and is actively constructing new facilities to expand capacity. Projects span infrastructure design (medium voltage distribution, cooling systems, commissioning), capacity planning, and operational workflows. The organization is building internal systems for hiring, design review, and supplier management—typical infrastructure-as-a-service operational complexity—while addressing challenges around permitting, civil construction costs, and multi-site resource optimization.

HeadquartersNew York, NY
Company Size51–200 employees
Founded2017
Hiring MarketsUnited States

Frequently Asked Questions

What is Fluidstack's data center infrastructure stack?

Fluidstack runs Kubernetes and SLURM for workload orchestration, with physical infrastructure managed via BMS (building management systems), Siemens and ABI controls, dark fiber networking, and Cat6a cabling. AWS, GCP, Azure, and OCI are also in use.

What is Fluidstack currently building?

Active projects include new data center construction, capacity upgrades for hyperscale facilities, medium voltage distribution design, cooling system scaling, hyperscale commissioning, and internal playbooks for design, engineering, and sourcing workflows.

How this profile is built

Fluidstack's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.