RightNow

AI researchers should be pushing the boundaries of what's possible with new architectures and training methods. Instead, they waste weeks configuring cloud infrastructure, debugging distributed systems, and optimizing their GPU code. We know because we lived it: While training our own models across thousands of GPUs earlier this year, we spent more time fighting our infrastructure than doing actual research. That's why we're building two things. First, Elastic Cloud: a managed platform that auto

shared extracted concept terms: gpu, infrastructure; shared product terms: research, gpu, infrastructure, own; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

We deploy fleets of AI Infrastructure Engineers to collaborate over week-long time horizons, run 100s of experiments in parallel, and learn from them to optimize your training/ inference infrastructure to your workloads. We've partnered with companies to speed up their GPU kernels to 6x SOTA, and improved the latency of voice models to twice the competition.

shared extracted concepts: gpu kernels; shared product terms: gpu, infrastructure, model, kernel; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Relace makes it easy to deploy production-ready coding agents. Our models are co-optimized with infrastructure to achieve SoTA performance: 10k+ token/s code merging and retrieval across million-line repositories in seconds.

shared extracted concept terms: infrastructure; shared product terms: deploy, model, co, optimiz; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Luminal builds an ML framework and compiler that generates GPU code. Our stack 10x's model speed while simplifying deployment and cutting idle GPU costs Github: https://github.com/luminal-ai/luminal Discord: https://discord.gg/APjuwHAbGy

shared extracted concept terms: gpu; shared product terms: generate, gpu, stack, model; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Packaged Applications for Any Platform. Bitnami has automated the ability to package, deploy and maintain applications, lowering the barrier to adoption for anyone to deploy and maintain a full spectrum of server applications, development stacks and infrastructure applications in virtually any format. Simply click to deploy any one of 120+ ready-to-run applications from the Bitnami Application Catalog or use Bitnami Stacksmith to package and migrate your custom in-house applications to the cloud

shared extracted concept terms: infrastructure, stack; shared product terms: any, deploy, stack, infrastructure; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Wingback provides tools and APIs for SaaS pricing and packaging. We are infrastructure that allows SaaS startups to deploy any set of features of their product using any pricing model. It enables non-technical teams to implement pricing and packaging changes and execute product-led growth campaigns without engineering involvement.

shared product terms: infrastructure, apis, any, model; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator