TensorPool Blog · Mar 2026
Announcement of globally distributed S3-compatible object storage with intelligent caching, no ingress/egress fees, and latency/throughput benchmarks versus Cloudflare R2.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
TensorPool is a Y Combinator Winter 2025 startup building a developer-friendly GPU cloud for ML workloads: a CLI-first platform for launching, monitoring, and managing GPU clusters and training jobs from the IDE, with multi-cloud cost optimization and storage/networking tuned for distributed training.
Primary product
CLI-first GPU cloud platform for ML training and multi-node GPU cluster orchestration.
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Industry
Technology, Information and Internet
Sub-industry
GPU cloud infrastructure / AI infrastructure
Offices
Business model
0 jobs at TensorPool
Check back later for new openings
Stage
pre-seed / accelerator
Total raised
$500K
Latest round
Pre-Seed / Accelerator · Feb 2025
Latest amount
$500K
Feb 2025
Leadership
CEO & Co-Founder
Co-Founder & CTO
Co-Founder & CPO
Investors
Developer-first and product-fast: the company emphasizes making GPU access feel like local development, publishes frequent product updates, and leans on an active Slack/Discord community with credits and early-user outreach.
Compensation
No public employee salary bands or hiring compensation data were found. Publicly visible incentives are product credits/free compute rather than compensation disclosures.
Benefits
Pricing
Usage-based pricing per GPU-hour, plus storage pricing by TB/month and object-storage request charges; enterprise and committed-discount pricing available on request.
Differentiators
Technology
Customers
Competitors
Estimated revenue
≈$330K ARR (estimated)
Estimated monthly visits
9K
Traffic estimate as of Feb 2025
TensorPool Blog · Mar 2026
Announcement of globally distributed S3-compatible object storage with intelligent caching, no ingress/egress fees, and latency/throughput benchmarks versus Cloudflare R2.
TensorPool Blog · Nov 2025
Customer case study showing ZeroEntropy used TensorPool for zerank-1 and zerank-2 training and that TensorPool helped speed experimentation.
TensorPool Blog · Oct 2025
Product announcement for Jobs, a git-style interface for training workloads that spin up clusters, run jobs, save outputs, and bill only for runtime.
Startup Intros · Mar 2025
Third-party funding writeup stating TensorPool raised $500K in a seed round in March 2025.
Y Combinator · Feb 2025
Official YC launch announcement framing TensorPool as an easy way to use cloud GPUs from the IDE with a CLI-first workflow, multi-cloud cost routing, and spot-node resummation.