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Cedana

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Cedana

Fast, reliable, reproducible AI with GPU live migration

cedana.ai
HQ: New York, NY, USA; Remote
1-10
B2B

Company research

Public company, workplace, funding, and market signals

Updated Jul 30, 2026

Overview

Cedana is a New York-based, fully remote AI infrastructure company founded in 2023 that provides save/migrate/resume infrastructure for CPU and GPU workloads, enabling live checkpointing, migration, and recovery across nodes, clusters, and clouds.

Primary product

GPU/CPU live migration and save/migrate/resume infrastructure

Founded

2023

Headquarters

New York, New York, United States

Team size

10-20

Work style

Remote

Industry

Software Development

Sub-industry

AI infrastructure / workload orchestration

Offices

New York City, New York, United States (headquarters)
United States (distributed workforce)
India (distributed workforce)
Brazil (distributed workforce)
Canada (distributed workforce)

Business model

open-source software
managed service
quote-based enterprise sales

Funding

Stage

pre-seed

Total raised

$500K

Latest round

Pre-Seed Convertible Note · Sep 2023

Latest amount

$500K

Pre-Seed Convertible Note

Sep 2023 · Y Combinator

$500K

People & investors

Leadership

Neel Master

CEO and Co-founder

Niranjan Ravichandra

Co-Founder & CTO

Investors

Pebblebed
Wayfinder Ventures
Y Combinator

Work & culture

Fully remote and distributed, with in-person team meetups roughly every 6-8 weeks. The public material emphasizes deep technical work, continuous learning, documentation, teaching, and low-level systems engineering across the full stack.

Work style

Remote

Visa sponsorship

Limited

Compensation

Public job posts show US-remote roles paying $140k-$180k base salary plus meaningful early-stage equity, 0.10%-0.30% equity on some roles, and benefits including fully covered medical, dental, and vision, unlimited PTO, a 401(k), and a workstation budget. Hiring language indicates US citizenship/visa eligibility requirements, so sponsorship appears limited.

Benefits

100% covered medical, dental, and vision insurance for employees and families
Unlimited PTO
401(k) plan
Workstation setup budget
Meaningful early-stage equity

Product & market

Pricing

Not publicly listed; sales-led and quote-based, with both an open-source package and a managed service. The contact page invites users to discuss pricing and request demos.

Differentiators

  • —Save/Migrate/Resume for CPU and GPU workloads across instances, nodes, clusters, and vendors
  • —Zero code changes and no manual checkpoint hooks required
  • —Kernel/OS-level approach with CRIU and low-level runtime integration
  • —Live migration for stateful workloads rather than restart-based recovery
  • —Claims of up to 80% cost savings and 2-10x faster time-to-first-token
  • —Integrations with Kubernetes, Kueue, Slurm, and KServe
  • —Works as both an open-source package and a managed service

Technology

Go
Python
Linux
Linux kernel
Kubernetes
Slurm
Kueue
CRIU
Docker
QEMU
KVM
libvirt
Helm
Terraform
NVIDIA CUDA
NVIDIA GPU Driver API
Postgres
RabbitMQ
Kata Containers
Cloud Hypervisor

Customers

Caltech
Fortune 100 pharma lab
AI training teams
AI inference providers
HPC and scientific computing labs
computational biology teams
MLOps platforms
neoclouds / infrastructure providers
enterprise GPU cluster operators
research universities and labs

Competitors

Slurm
Kubernetes-based job orchestration stacks
Lambda Labs
NVIDIA CUDA checkpoint/restore
in-house workload migration tooling

Scale & contact

Estimated revenue

≈$1.4M estimated ARR (third-party estimate, 2025)

founders@cedana.ai

Latest news

Cedana’s Forward-Deployed Engineer Role Tackles AI-HPC Reliability at Scale

LavX News · May 2026

Secondary coverage of Cedana’s hiring and deployment motion, highlighting kernel-level GPU checkpointing for research labs, enterprise clusters, and hybrid environments.

Supercharging Scientific Computing with Cedana

Cedana Substack · Jun 2025

Explains how Cedana integrates with Kueue for scientific computing, using system-level checkpointing and live migration to preempt workloads safely and resume them without losing progress; includes a Caltech use case.

GPU Interposing and Performance

Cedana Substack · May 2025

Details Cedana’s GPU driver/API interposition approach, benchmark claims, minimal overhead, faster inference throughput, and order-of-magnitude faster restored cold starts.

How Cedana uses Northflank to deploy workloads onto Kubernetes with microVMs and secure runtimes

Northflank · May 2025

A customer case study describing Cedana’s fully remote, engineer-heavy team, production deployments, secure runtime testing, customer delivery model, SOC 2 progress, and emphasis on live migration for GPU-heavy workloads.

Using Cedana to Live-Migrate Stateful Workloads Between Spot Instances

Cedana Substack · Nov 2024

A hands-on guide showing Cedana checkpointing and restoring stateful workloads across spot interruptions, with use cases spanning data science, finance, and scientific simulation.

AboutBlogContact / demoDocsGitHub organizationGitHub repoHomepageHow it worksLinkedIn companyX
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