AI Infra and Frameworks
57Blocks provides AI testing solutions to ensure model reliability, performance, and scalability.
We develop automated test frameworks for functional, performance, and security validation, integrating them into CI/CD pipelines.
Our services include stress testing AI inference, optimizing model serving, and ensuring cross-platform compatibility.
We enable real-time monitoring, model drift detection, and automated validation to maintain AI accuracy and efficiency.
Our Services
Inference Managements
Optimize pipelines to reduce latency, improve efficiency, and workloads
Use load balancing and adaptive compute to manage AI workloads
Build API-driven model serving with REST and gRPC for secure AI access
Monitor inference with drift detection, real-time tracking, and retraining
Automated Test Frameworks
Customized AI testing frameworks for functional and performance
Automate regression, integration, and E2E testing for model deployment
Benchmarking tools to compare accuracy, latency, and model efficiency
Create scalable test environments that simulate practical AI workloads
Performance and Load Testing
Stress test inference engines to assess heavy load performance
Automate testing for GPU-intensive models with distributed frameworks
Resolve AI pipeline bottlenecks with profiling and performance analysis
Simulate high-demand inference to optimize model speed and reliability
AI Model Serving and MLOps
Deploy AI models with scalable compute resources for enterprise
Inferencing latency reduction and improving memory efficiency
Automate ML pipelines with ETL/ELT and CI/CD for faster iteration
Model serve with Kubernetes, TensorFlow Serving, and TorchServe
Insights From Building
Dependency conflicts, version compatibility, and maintaining a clean dependency tree can pose challenges in Android development. However, by harnessing the power of Gradle and Dependency Injection (DI), you can navigate these hurdles with confidence. These tools ensure a smooth process and maintain a modular architecture that follows the principles of Clean Architecture. Read how we have successfully achieved this on our projects, and how you can too.
If you're finding it challenging to release complex features while adhering to the principles of Continuous Integration and Continuous Deployment (CI/CD), we’re excited to share our proven approach. By breaking down large features into manageable components, we can relieve the burden of managing these large features, ensuring smoother data management and migration, and minimizing disruptions to dependent clients. This approach also supports an agile and iterative deployment process, enhancing stability and the user experience.
Feeling overwhelmed by the number of tools available for your oprganization’s front-end build pipeline? Don't worry. We're sharing all we've learned about these tools while working on our projects and summarized it here. This comprehensive guide is designed to provide you with the knowledge and confidence to navigate the complexities of modern front-end development, mitigating difficulties and improving results.
Dependency conflicts, version compatibility, and maintaining a clean dependency tree can pose challenges in Android development. However, by harnessing the power of Gradle and Dependency Injection (DI), you can navigate these hurdles with confidence. These tools ensure a smooth process and maintain a modular architecture that follows the principles of Clean Architecture. Read how we have successfully achieved this on our projects, and how you can too.
If you're finding it challenging to release complex features while adhering to the principles of Continuous Integration and Continuous Deployment (CI/CD), we’re excited to share our proven approach. By breaking down large features into manageable components, we can relieve the burden of managing these large features, ensuring smoother data management and migration, and minimizing disruptions to dependent clients. This approach also supports an agile and iterative deployment process, enhancing stability and the user experience.
Feeling overwhelmed by the number of tools available for your oprganization’s front-end build pipeline? Don't worry. We're sharing all we've learned about these tools while working on our projects and summarized it here. This comprehensive guide is designed to provide you with the knowledge and confidence to navigate the complexities of modern front-end development, mitigating difficulties and improving results.
