- Blazing fast spin-up times. Responsive auto-scaling.
Thanks to container image caching and specialized schedulers, your workload can be up and running in as little as 5 seconds.
- Scale into the compute you need, elastically
Access a massive amount of resources in the same cluster, instantly. Simply request the CPU cores and RAM you need, with an optional amount of GPUs, and you’re off to the races.
- Fully managed Kubernetes, single control plane
CoreWeave handles all of the control-plane infrastructure, cluster operations and platform integrations so you spend more time building products. With all resources available via Kubernetes, you get unmatched flexibility and performance with less infrastructure overhead.
A modern infrastructure, built for compute-intensive workloads
CoreWeave is Kubernetes-native, designed to give you the performance advantages of bare-metal without the infrastructure overhead.Get Started
One orchestration layer to rule them all
With all resources managed by a single orchestration layer, our clients take full advantage of increased portability, less overhead, and less management complexity compared to traditional VM-based deployments.
Every compute-intensive workload benefits from Kubernetes
The most innovative advancements in technology work with containerized workloads, including inference serving, distributed training, batch simulations and rendering.
- Kubernetes for Inference
Standards-based inference platform with industry-leading scalability
Deploy inference with a single YAML. We support all popular ML Frameworks: TensorFlow, PyTorch, SKLearn, TensorRt, ONNX as well as custom serving implementations. Optimized for NLP with streaming responses and context aware load-balancing.Kubernetes for Distributed Training
Industry standard architecture, designed to deliver the best possible performance
We build our distributed training clusters with a rail-optimized design using NVIDIA Quantum InfiniBand networking and in-network collections using NVIDIA SHARP to deliver the highest distributed training performance possible.
- Kubernetes for Rendering
Accelerate artist workflows by eliminating the render queue
Leverage container auto-scaling in render managers - like Deadline - to go from a stand-still to rendering a full VFX pipeline in seconds.Kubernetes for Workflows
Run thousands of GPUs for parallel computation
Leverage powerful Kubernetes native workflow orchestration tools like Argo Workflows to run and manage the lifecycle of parallel processing pipelines for VFX rendering, health sciences simulations, financial analytics and more.