ML Ops
We deliver value-driven solutions powered by a unique combination of our cutting-edge machine learning and 3D graphics engineering expertise.
Technologies
Jetson Nano
MLflow
Prometheus
Custom exporter
Filebeat
PostgreSQL
Filebeat
Logstash
Elastic Search
BERT
TensorFlow Serving
Triton Server
Docker
MLflow
AirFlow
KubeFlow
Jupyter Notebook
MS Azure
AWS
Google Cloud
Vertex AI
DialogFlow
Airflow
MLflow
K8s cluster
Jetson Nano
MLflow
Prometheus
Custom exporter
Filebeat
PostgreSQL
Filebeat
Logstash
Elastic Search
BERT
TensorFlow Serving
Triton Server
Docker
MLflow
AirFlow
KubeFlow
Jupyter Notebook
MS Azure
AWS
Google Cloud
Vertex AI
DialogFlow
Airflow
MLflow
K8s cluster
case study
NVIDIA Jetson
Assembling, environment creation, and fine-tuning for NVIDIA Jetson for AI applications.
case study
Monitoring
Develop interactive dashboards where one can access the performance of ML models during training and production with ease.
case study
ML Ops
Survey of different ML infrastructure building approaches.
case study
ML experiments with Airflow
Goal is to convert CV models to different formats (ONNX, quantized, TVM compiled) and test them systematically.
