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Expanse - Unlock wasted GPU capacity

Unlock wasted GPU capacity.

Details

External ID
100703
Source
YC
Company
Expanse
Product
Expanse - Unlock wasted GPU capacity
Website domain
expanse.sh
Launched
May 4, 2026
Cohort
Spring 2026
Upvotes
53
Upvotes percentile
0.8544776119402985
Tags
Deep Learning, B2B, Infrastructure, ML
Fetched at
Sept. 30, 2026, 5 p.m.
Updated at
Sept. 30, 2026, 5 p.m.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Marketplace
Audience
B2B
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
gpu compute marketplace
Manually corrected
False

Could you build this?

No Predicting exact GPU memory, runtime, and job failure modes across SLURM/Kubernetes HPC workloads requires deep ML systems profiling and custom cluster telemetry daemon engineering.

What it would actually take: The system requires lightweight C/Rust kernel/eBPF and CUDA driver profiling agents (monitoring GPU kernel activity, VRAM allocations via NVML, PCIe throughput, and host-device transfer bottlenecks) deployed across heterogeneous GPU clusters. The prediction engine requires machine learning models trained on millions of distributed compute execution profiles, static/dynamic code analysis of PyTorch/HPC binaries, and tight scheduler integration with SLURM and Kubernetes (KAIROS/Volcano). It demands elite ML infra and HPC systems engineers.

Competitors

Other products that read as similar to this one — 80 launches clear the similarity bar, closest 8 shown.

Attention rank: #12 of 81 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 178 days after the earliest competitor.

Other launches for this product