Tensor Cloud
LiveTensor Cloud automatically finds the cheapest hardware across providers, then orchestrates your training jobs and manages all the infrastructure complexity for you, whether you need 1 or 10,000 GPUs.
We are reinventing the software and infrastructure stack for modern AI and HPC. With automatic kernel optimization and cross-cloud, cross-vendor compute, we make code faster, cheaper, and portable across every platform.
Trusted by top researchers at


We handle the infrastructure complexity behind modern AI workloads, so teams can focus on advancing their models.
Raised by AI teams
$100M+
Time lost to infrastructure setup
Weeks
or months
Misallocated GPUs
54%
approximately
We believe that researchers deserve cheaper access to compute, and hardware deserves nothing less than to be fully utilized.
Tensor Cloud automatically finds the cheapest hardware across providers, then orchestrates your training jobs and manages all the infrastructure complexity for you, whether you need 1 or 10,000 GPUs.
Our optimizer transforms training kernels into their mathematically fastest forms. By simulating memory, cache, and hardware topology, we deliver performance beyond hand-tuned code.
Emma, where our vision started is built to abstract away the quirks of individual platforms while still giving you the performance you'd expect from hand-tuned kernels. With Emma, you can target GPUs today, TPUs tomorrow, and whatever comes next - all without rewriting your codebase.
Every team is different, we always make sure that our incentives are aligned, by pricing our services based on the amount of savings we can deliver you.
For teams looking to run experiments and medium-scale training jobs.
For teams looking to scale their training runs and need support and control over their infrastructure.
If you want to push hardware to its limits, design languages that reimagine what's possible, and help define the next era of high-performance software, you belong here.
We Automatically optimize kernels, orchestrate GPUs, and keep your team focused on advancing models.