AI-Optimized cloud native resource mgmt. platform for AI/ML workflows

Power E2E AI pipelines with optimized resources

Managing and getting resources for AI/ML workflows
doesn’t have to be painful

AI/ML workloads are dynamic, non-linear and unpredictable, leading to over provisioned and underutilized resources with static allocations. And it doesn’t require Data scientists and AI workflows waiting for expensive compute resources.

Rapt.ai’s AI-optimized “model aware learning system” orchestrates optimized and shareable compute resources from a virtual pool for Any AI model, Any accelerator hardware across any cloud and edge.

Built for AI

Achieve new levels of AI resource automation

Built for Price-Performance

Upto 70% Infra cost savings and 3x faster models

Built for your journey

Any AI pipeline, any accelerator, any cloud



Reduce Costs

Reduce cloud bills and data center expenses. 

High Perf and Gain productivity

Maximize GPU util. Faster TTM of AI models. 

Automated

No resource guesswork, No share presets, No code change reqd. 

Edge-to-cloud accelerator virt

On-demand compute to edge devices in a “edge-micro cloud-cloud” tiered compute. Run multiple edge workloads sharing accelerators from cloud. 

Accelerator independence & Portability

Multi chip functionality. Use any AI chip (GPUs,CPUs FPGAs, TPUs, ASICs). Any Cloud 


Maximize GPU utilization

More model trainings and experiments. 

Cloud bursting - Your data your infrastructure choice

When using hybrid clouds for scale and economics, rapt manages “data privacy” with no data at rest in cloud. 

No code changes

To use rapt, write your model, specify your framework, datasets and hit enter.

As a service

Set app SLOs, priorities.  

Effective shared GPU allocations

Maximize your ROI. rapt automatically “shares” multiple trainings concurrently in shared virtual pool, No guess work, presets required.

API driven

Integrate with any tool.

PREDICTIVE BALANCING

Continuously optimized infrastructure that
exactly meets your AI application needs, variants and unpredictability

INTEGRATED WITH

Amazon Web Service

Google Cloud

Kubernetes

Amazon Sagemaker

Tensorflow

PyTorch

Caffe2

Horovod

OFFICIAL PARTNERS

Address

4701 Patrick Henry Dr.
Bldg 25, Santa Clara, CA,
95054, USA

 +1 408-401-9614

[email protected]