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Byteridge Tech Stack
Custom software and Gen AI deployment, AWS-native infrastructure
Byteridge is a 15-year-old custom software shop pivoting heavily toward Gen AI infrastructure. Their tech stack—AWS, NVIDIA GPUs (A100/H100), SageMaker, PyTorch, TensorFlow, CUDA—and project focus on LLM deployments, training pipelines, and GPU kernel optimization reveal a deliberate shift from traditional application work into ML ops. All eight active engineering hires are senior-level, concentrated in India, signaling scaling of deep technical capacity where it matters most for model tuning and cloud cost control.
Tech Stack 52 technologies
Core StackPower Apps Power BI Power Automate Dynamics 365 AWS Python PyTorch TensorFlow C# Node.js Flutter React Native Java Docker Kubernetes .NET Amazon SageMaker Dataverse NVIDIA CUDA JAX EFS VPC Android iOS Azure GCP NVIDIA A100 NVIDIA H100 JMeter+22 more
What Byteridge Is Building
◆Challenges
- Optimizing large language models at scale
- Gpu performance bottlenecks
- Cost optimization for ml workloads
- Optimizing gpu performance
▲Active Projects
- Deploying large language models on aws infrastructure
- Sagemaker training and inference pipelines
- High-throughput ml storage and networking architecture
- Implementing cuda-level optimizations for gpu performance
- New power apps front end development for product roadmap
- Custom connectors and third-party api integration
- Large language model deployments on aws
- Designing training, fine-tuning, inference pipelines using sagemaker ai
- Optimize model performance through gpu-level tuning and kernel optimization
- Implement training pipelines with sagemaker
Hiring Activity
8 roles · 7 in 30d
Department
Seniority
Company intelligence