Run More Experiments, Faster
An AI cloud engineered for the speed and scale of rapid, iterative model adaptation.
The Architectural Advantage for Rapid Iteration
Successful fine-tuning is measured by the speed of iteration. Our platform is engineered with key advantages to ensure your research teams can run more experiments, faster, and at a lower cost.Enter some text..
Accelerate Every Iteration Cycle
Our architecture includes high-speed local and distributed storage, dramatically accelerating the I/O-intensive tasks of data loading and checkpointing. This minimizes GPU idle time and enables more experiments per day.
Efficiently Manage Hundreds of Experiments
Our Managed SLURM service is the ideal tool for managing numerous fine-tuning jobs. Its powerful scheduling allows your team to submit hundreds of experiments to a shared cluster, confident that resources are being managed for maximum efficiency.
Achieve Faster Convergence on Less Hardware
Our AMD Instinct™ GPUs provide 1.5x the memory of competing chips. This allows for larger batch sizes during fine-tuning, which can accelerate model convergence and reduce the overall time and cost for each experiment.
Jane Doe
VP, Engineering at ExampleCo
"We fine-tuned a 65B model in four days using LoRA—at 40% lower cost than our prior provider."
