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Host LLMs in Production With On-Demand GPUs
NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.
Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
Framework for Adaptive Hardware Concurrent Systems with DPR-FPGAs
This project introduces new FPGA architectural tools and Linux OS modifications that aid in supporting Dynamic Partial Reconfiguration (DPR) on FPGAs for concurrent control. It shows that control systems benefit from hardware concurrency, meaning that by moving the control intelligence into hardware, the negative effects inherent to threads and their scheduler are minimized. This leaves software with the role of a high-level administrator rather than an executor, thereby eliminating...