Wallaroo’s breakthrough platform facilitates the last mile of the machine learning journey – getting ML into your production environment and monitoring ongoing performance – with incredible speed, scale, and efficiency. Companies across all industries including retail, finance, manufacturing, and healthcare are turning to Wallaroo to easily deploy and manage ML models at scale.
Wallaroo’s breakthrough platform facilitates the last mile of the machine learning journey – getting ML into your production environment and monitoring ongoing performance – with incredible speed, scale, and efficiency. Companies across all industries including retail, finance, manufacturing, and healthcare are turning to Wallaroo to easily deploy and manage ML models at scale.
Kamiwaza’s GenAI stack solution focuses on two novel technologies to enable Private Enterprise AI anywhere, inference mesh and locality-aware distributed data engine. These two in combination provide locality-aware data for RAG capable of inference processing where the data lives regardless of location, across on-prem, cloud and edge.
Kamiwaza’s GenAI stack solution focuses on two novel technologies to enable Private Enterprise AI anywhere, inference mesh and locality-aware distributed data engine. These two in combination provide locality-aware data for RAG capable of inference processing where the data lives regardless of location, across on-prem, cloud and edge.
The new Ampere servers configured by ASA Computers feature Cloud Native Processors that offers industry-leading core density, server efficiency, and per-rack performance, with up to 192 cores providing the best performance/$ compute for AI inferencing.
Consolidate your transcoding process, accelerate core functionality and integrate multiple production processes into this high-performance server.
Ampere’s inference acceleration engine is fully integrated with Pytorch framework. PyTorch models and software written with PyTorch API can run as-is, without any modifications.
Ampere’s inference acceleration engine is fully integrated with Pytorch framework. PyTorch models and software written with PyTorch API can run as-is, without any modifications.
Ampere’s inference acceleration engine is fully integrated with ONNX Runtime framework. ONNX models and software written with ONNX Runtime API can run as-is, without any modifications.
Ampere® Processors, with high performance Ampere Optimized Frameworks in Docker images, offer the best-in-class Artificial Intelligence inference performance for standard frameworks including TensorFlow, PyTorch and ONNXRT and llama.cpp. Ampere optimized containers come fully integrated with their respective frameworks.
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