Expanse
Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time). We’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem fir
Y Combinator
yc-company-directory #427Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time). We’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem fir
sourceExpanse is classified as Developer tools from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Expanse
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Shadeform
match 72Teams struggling with GPU availability use our platform to unlock capacity immediately for their growing AI workloads. Shadeform has a unified, easy-to-use API and platform to access and provision GPUs and deploy models for inference to any provider. With our aggregated availability and pricing data, we can help ensure your on-demand inference and training jobs will run on time at optimal cost.
shared extracted concept terms: gpu; shared product terms: unlock, gpu, capacity, jobs; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Cedana
match 57Cedana (YC S23) brings hyperscaler and frontier-lab orchestration capabilities for AI workflows. Our core capability is live migration for CPUs and GPUs workloads. This increases cost savings up to 80%, accelerates time to first token 2-10x, and enables stateful reliability of training jobs even through catastrophic GPU failures. We've integrated our solution into K8s, and support Kueue and Slurm for training distributed jobs, and Kserve for serving inference. OpenAI, Meta and Microsoft have fla
shared product terms: capabilitie, workload, time, train; shared affiliation: Y Combinator
WithAI
match 54WithAI helps institutional investors research stocks and manage their portfolios. We're live with four hedge funds, and our users spend 4+ hours a day in the platform. Investors who try "nearly every tool on the market," to quote a client of ours, "wind up with an unwieldy collection of fragmented point solutions." Those who focus on building a great setup with general agents are instead "signing up for a full-time job." So we deploy a platform called Multiplier that unifies structured data, uns
shared product terms: job, hour, time, re; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Trainy
match 51Goodbye Slurm, Hello Konduktor. Trainy Konduktor is a software platform for AI teams to schedule workloads with priority, control resource allocation, and improve GPU reliability. With Konduktor, teams submit jobs to a healthy pool of GPUs, assign job priority with a simple user interface, and never worry about hardware faults again.
shared extracted concept terms: gpu; shared product terms: gpu, resource, job, jobs; shared affiliation: Y Combinator
Double – Coding Copilot
match 49Do you run into these problems with Github Copilot? - Bad completions that break your train of thought when you’re writing comments? - Doesn’t close brackets, or adds too many closing brackets? - Functions, variables, and libraries not being auto-imported after accepting a suggestion? - Multi-cursor mode not working? - Wish copilot could name your variables? - Wish copilot could trigger in the middle of a line? - Want to stop wasting time with GPT3.5 chat and default to GPT4? Double is an high q
shared product terms: problem, train, re, suggestion; shared affiliation: Y Combinator
Joggr
match 32Joggr makes engineering documentation effortless by updating your documentation every time your code changes.
shared product terms: engineer, time, code; shared product theme: developer infrastructure; same category: Developer tools