Autoscale containers based on demand to quickly fulfill user requests significantly faster than depending on scaling of hypervisor backed instances of other cloud providers. As soon as a new request comes in, requests can be served as quickly as:
· 5 seconds for small models
· 2.10 seconds for GPT-J
· 3.15 seconds for GPT-NeoX
· 4.30-60 seconds for larger models
KServe enables serverless inferencing on Kubernetes on an easy-to-use interface for common ML frameworks like TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX to solve production model serving use cases.
MegaSpeed.Ai's Kubernetes-native network design moves functionality into the network fabric, so you get the function, speed, and security you need without having to manage IPs and VLANs.
· Deploy Load Balancer services with ease
· Access the public internet via multiple global Tier 1 providers at up to 100Gbps per node
· Get custom configuration with MegaSpeed.Ai Virtual Private Cloud (VPC)
MegaSpeed.Ai Cloud Storage Volumes are built on top of Ceph, an open-source software built to support scalability for enterprises. Our storage solutions allow for easy serving of machine learning models, sourced from a range of storage backends, including S3 compatible object storage, HTTP and a MegaSpeed.Ai Storage Volume.