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Services We Offer
Fine-Tuning & Compression
Our cutting-edge model fine-tuning and compression services, utilizing advanced techniques such as sparsification, quantization, and pruning. With open-source frameworks like OptiML, we optimize models to be smaller, faster, and more efficient without compromising accuracy.
Key Benefits
- Achieve up to 7x performance improvements through advanced sparsification and quantization techniques.
- Optimize models for reduced memory and compute requirements while maintaining high accuracy.
- Flexibility to deploy models across cloud, edge, and on-premise environments, offering scalable solutions.
Optimized Inference
Our optimized inference solutions enable low-latency, high-throughput deployment for large transformer models using powerful tools like vLLM and Flash
Our optimized inference solutions enable low-latency, high-throughput deployment for large transformer models using powerful tools like vLLM and Flash
tuning and compression to deployment optimization, ensuring your models are fully optimized for scalable production across cloud, edge, and on-premise environments. With advanced techniques like efficient key-value caching, dynamic batching, and kernel fusion, our deployment pipeline ensures minimal latency and maximum efficiency, making it ideal for real-world applications such as large-scale generative models or high-frequency trading tasks.
Key Benefits
- End-to-end deployment optimized for real-time, scalable production across cloud and edge environments.
- Models are fully optimized for seamless production, reducing latency and maximizing throughput.
- Comprehensive orchestration, scaling, and monitoring to save time and reduce operational costs during deployment.
End-to-End Deployment
We provide comprehensive support for the
the entire AI model lifecycle, from fine-
the entire AI model lifecycle, from fine-
Attention. By integrating techniques like mixed precision, 2:4 sparsity, efficient key-value caching, dynamic batching, and kernel fusion, we maximize performance while maintaining accuracy, ensuring models are production-ready with minimal latency.
Attention. By integrating techniques like mixed precision, 2:4 sparsity, efficient key-value caching, dynamic batching, and kernel fusion, we maximize performance while maintaining accuracy, ensuring models are production-ready with minimal latency.
Key Benefits
- Flash Attention and vLLM optimizations significantly reduce latency and improve token generation speed.
- Achieve up to 7x throughput improvements in production environments with optimized inference techniques.
- Flexible support for diverse hardware, ensuring real-time performance without expensive infrastructure upgrades.
tuning and compression to deployment optimization, ensuring your models are fully optimized for scalable production across cloud, edge, and on-premise environments. With advanced techniques like efficient key-value caching, dynamic batching, and kernel fusion, our deployment pipeline ensures minimal latency and maximum efficiency, making it ideal for real-world applications such as large-scale generative models or high-frequency trading tasks.
Key Benefits
- End-to-end deployment optimized for real-time, scalable production across cloud and edge environments.
- Models are fully optimized for seamless production, reducing latency and maximizing throughput.
- Comprehensive orchestration, scaling, and monitoring to save time and reduce operational costs during deployment.
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