Quickly modulate the latency, throughput, size, accuracy and cost tradeoff in inference. Select the optimal setup for your model and squeeze out every last bit of performance.
Faster inference leads to great user experiences. But faster inference also means lower computing costs, on cloud and on prem both.
There are many pre-trained API models out there, but not all of them were born equal. Find the Pareto-optimal API for your specific task and then easily deploy in one-click.
API models need to stand out in an ever-changing world. Efficiently fine-tune and update your API model so that it becomes a trusted differentiating factor for your business.
Prepare datasets for your personalized assistant, train with RLHF and limited compute resources, and optimize for latency and inference costs.
Accelerate your models to get the fastest AI ever. Real-time inference unlocks seamless user experience and lower costs.
Run your AI workloads on Kubernetes as efficiently as possible.Boost workloads performance while saturating the utilization of expensive GPUs.
After a decade of explosive progress, AI is poised to reinvent itself once again as the paradigm shifts from “just working” (i.e. accuracy) to “business value” (i.e. personalization and performances). Enterprise-grade AI will combine accuracy, cost-effectiveness and ease of deployment into company workflows.
Create a full-stack abstraction layer that automatically connects users to the right AI hardware, cloud and API providers.
Engineer a platform to efficiently personalize opensource and API models to meet unique user needs.
Leverage foundational AI models to achieve superhuman results in building the fastest AI ever.
Build on open-source foundations so that developers all over the world can experience first-hand the benefits of AI optimization.
