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Prime Intellect Tech Stack

Full-stack AI training platform for distributed model development

Software Development San Francisco 11–50 employees Privately Held

Prime Intellect operates a full-stack platform and research lab focused on making frontier AI model training accessible to companies of all sizes. The tech stack reveals deep infrastructure expertise: SLURM, Kubernetes, InfiniBand, NVLink, and custom GPU cluster orchestration (CUDA, NCCL, vLLM, SGLang) paired with modern platform tooling (FastAPI, React, Next.js). Active projects span distributed training infrastructure, GPU cluster architecture, LLM serving, and agentic AI — all grounded in solving acute scaling challenges: GPU utilization, reinforcement learning infrastructure, and inference cost optimization.

Tech Stack 31 technologies

Core StackKubernetes Ansible Terraform Python FastAPI TypeScript React Next.js Tailwind CSS Rust Prometheus Grafana Go Figma Node.js HubSpot SLURM InfiniBand NVLink Lustre BeeGFS GPFS CUDA Bash GCP WebSocket vLLM SGLang TensorRT-LLM NCCL+1 more

What Prime Intellect Is Building

Challenges

  • Scaling llm inference
  • Scaling reinforcement learning infrastructure
  • Scaling gpu clusters
  • Optimizing gpu utilization
  • High-performance networking
  • Evaluating neoclouds and hyperscalers
  • Optimizing inference workloads cost
  • Resilience failover
  • Autoscaling routing
  • Aligning models with domain tasks

Active Projects

  • Distributed training infrastructure
  • Ai workload management platform
  • Llm serving platform
  • High-performance networking implementation
  • Gpu cluster architecture design
  • Margin architecture development
  • Next-generation ai agents
  • Environments hub
  • Training services
  • Open language models

Hiring Activity

Accelerating25 roles · 9 in 30d

Department

Engineering
11
Ops
3
Research
2
Support
2
Finance
1
Legal
1
Marketing
1
Security
1

Seniority

Senior
12
Mid
5
Lead
3
Director
1
Intern
1

Notable leadership hires: Strategy Finance Lead

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About Prime Intellect

Prime Intellect builds infrastructure and tooling for companies to train and deploy large language models and AI agents at scale. The platform combines distributed training orchestration, GPU cluster management, and LLM serving layers, enabling organizations to move beyond reliance on closed API providers. The 11–50 person team is engineering-heavy with a mix of research, operations, and platform support roles. Based in San Francisco, they operate as both a commercial platform provider and an open research lab, releasing models and tooling to the broader AI community.

HeadquartersSan Francisco
Company Size11–50 employees
Hiring MarketsUnited States

Frequently Asked Questions

What infrastructure does Prime Intellect use for AI training?

SLURM, Kubernetes, InfiniBand, NVLink for networking; CUDA, NCCL, vLLM, SGLang for compute; Lustre, BeeGFS, GPFS for distributed storage; Terraform and Ansible for orchestration.

What is Prime Intellect working on?

Distributed training infrastructure, GPU cluster architecture, LLM serving platforms, high-performance networking, AI workload management, and next-generation AI agents for domain-specific tasks.

How this profile is built

Prime Intellect'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.