KServe Description
Kubernetes is a highly scalable platform for model inference that uses standards-based models. Trusted AI. KServe, a Kubernetes standard model inference platform, is designed for highly scalable applications. Provides a standardized, performant inference protocol that works across all ML frameworks. Modern serverless inference workloads supported by autoscaling, including a scale up to zero on GPU. High scalability, density packing, intelligent routing with ModelMesh. Production ML serving is simple and pluggable. Pre/post-processing, monitoring and explainability are all possible. Advanced deployments using the canary rollout, experiments and ensembles as well as transformers. ModelMesh was designed for high-scale, high density, and often-changing model use cases. ModelMesh intelligently loads, unloads and transfers AI models to and fro memory. This allows for a smart trade-off between user responsiveness and computational footprint.
KServe Alternatives
NVIDIA Triton Inference Server
NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.
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F5 NGINX Gateway Fabric
NGINX Service Mesh is always free and can scale from open-source projects to a fully supported enterprise-grade solution. NGINX Service Mesh gives you control over Kubernetes. It features a single configuration that provides a unified data plan for ingress and exit management. NGINX Service Mesh's real star is its fully integrated, high-performance Data Plan. Our data plane leverages the power of NGINX Plus in order to operate highly available, scalable containerized environments. It offers enterprise traffic management, performance and scalability that no other sidecars could offer. It offers seamless and transparent load balancing and reverse proxy, traffic routing and identity as well as encryption features that are required for high-quality service mesh deployments. It can be paired with NGINX Plus-based NGINX Ingress Controller to create a unified data plan that can be managed from one configuration.
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CIARA ORION High Density (HD) Server
Our industry-leading single-socket and dual socket high-performance CIARA ORION High Density servers provide unrivalled flexibility, scalability and efficiency to handle all of your critical workloads. ORION HD products have the industry's highest density cores per rackmount unit to ensure optimal rackmount utilization in any data centre. ORION High-Density Servers are compatible with both the Intel(r] Xeon(r] Processor Scalable Family (AMD EPYC®,) processors. They offer incredible design options for large-scale deployments of high-density IT or HPC workloads. ORION's high-density servers are built with the most recent silicon technology. They offer the best performance and support for the highest TDP in the industry. There are also a wide range of storage options and extensive add on card support. It is ideal for infrastructure consolidation and academic research, cloud & host providers, as well as high-performance computing apps.
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Deep Infra
Self-service machine learning platform that allows you to turn models into APIs with just a few mouse clicks. Sign up for a Deep Infra Account using GitHub, or login using GitHub. Choose from hundreds of popular ML models. Call your model using a simple REST API. Our serverless GPUs allow you to deploy models faster and cheaper than if you were to build the infrastructure yourself. Depending on the model, we have different pricing models. Some of our models have token-based pricing. The majority of models are charged by the time it takes to execute an inference. This pricing model allows you to only pay for the services you use. You can easily scale your business as your needs change. There are no upfront costs or long-term contracts. All models are optimized for low latency and inference performance on A100 GPUs. Our system will automatically scale up the model based on your requirements.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
KServe
Website:
kserve.github.io/website/0.8/
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Product Details
Platforms
Windows
Mac
Linux
Type of Training
Documentation
Customer Support
Online
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