Compute workflow automation platform for Machine Learning

seamlessly train and operate ML models in production at scale

ANY AI, ANY CHIP, ANY WHERE

Power ML with a workflow optimized, dynamic resource automation and acceleration. At the heart of workflow automation is raptIQ™, a “model aware learning system” which transforms any infrastructure to fit to model needs dynamically.

Continuously Optimized Infrastructure

CLOUD

HYBRID

ON-PREMISE

EDGE


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.

Heterogenous accelerators

Transparently use any AI accelerators (GPUs, FPGAs, TPUs, ASICs). Rapt auto selects and optimizes stack in real time for any accelerators.  

Effective shared GPU allocations

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

Auto manage application inferences

Highly parallel app inferences. Execute many apps in parallel in single compute. Set app requirements like latency, cost, variants with High availability and On-demand spinning of resources.  

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]