Cedana

Teams 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 product terms: gpus, workload, cost, time; same category: AI infrastructure; shared affiliation: Y Combinator

We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone. We're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting. Our technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool

shared product terms: bring, hyperscaler, frontier, cpus; shared affiliation: Y Combinator

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

shared product terms: capabilitie, workload, time, train; shared affiliation: Y Combinator

Goodbye 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 product terms: gpus, workload, reliability, jobs; same category: AI infrastructure; shared affiliation: Y Combinator

We’re building quantum-accelerated AI servers so organizations building AI can exponentially speed up training and inference. And we’re making tools for AI researchers to integrate quantum capabilities into AI models and workflows.

shared product terms: capabilitie, workflow, up, train; shared product theme: workflow automation; same category: AI infrastructure; shared affiliation: Y Combinator

Blacksmith helps companies run their continuous integration (CI) up to twice as fast, at half the cost. We do this by running their CI on high performance gaming CPUs. - Engineering productivity is often marred by slow CI that grows quadratically with the size of the engineering organization. - On top of this, companies pay high markups to run CI on the hyperscalers. - Consequently, companies have to run their CI on spot instances to keep costs in check. Since spot instances can get pre-empted a

shared extracted concept terms: hyperscaler; shared product terms: up, cost, cpus, hyperscaler; shared product theme: workflow automation; shared affiliation: Y Combinator