Announcing Runpod Flash

Compute-heavy tasks.

Run compute-heavy workloads like rendering, simulations, and batch processing on powerful, on-demand GPUs.

Trusted by top engineers at the world's leading companies.
TOOL

"All of these projects, the renders for AMD, the Coca-Cola builds, that has to do with scalability. If we can't scale, we can't deliver. Runpod makes that possible."

Aneta

"Runpod has changed the way we ship because we no longer have to wonder if we have access to GPUs. We've saved probably 90% on our infrastructure bill, mainly because we can use bursty compute whenever we need it."

Gendo

"Runpod has allowed the team to focus more on the features that are core to our product and that are within our skill set, rather than spending time focusing on infrastructure, which can sometimes be a bit of a distraction.”

Civit AI

"Runpod helped us scale the part of our platform that drives creation. That’s what fuels the rest, image generation, sharing, remixing. It starts with training."

Scatter Lab

"Runpod allowed us to reliably handle scaling from zero to over 1,000 requests per second in our live application."

InstaHeadshots

"Runpod has allowed us to focus entirely on growth and product development without us having to worry about the GPU infrastructure at all."

KRNL

"We could stop worrying about infrastructure and go back to building. That’s the real win.”

Coframe

“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”

Glam AI

"After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds."

Segmind

Runpod’s scalable GPU infrastructure gave us the flexibility we needed to match customer traffic and model complexity, without overpaying for idle resources.

High-performance compute, on demand.

Harness the power of Runpod's GPUs for intensive, parallelized workloads.

GPU-powered speed

Leverage A100 and H100 GPUs for simulations and rendering.

Parallel processing

Run large-scale jobs even faster with high-efficiency multi-GPU execution.

Scale compute precisely when you need it.

Run massive compute workloads with dynamic scaling and zero idle costs.

Pay-per-use pricing

Avoid idle GPU costs and pay only for active inference time.

Spot GPU savings

Use low-cost spot instances to reduce expenses without sacrificing performance.

Deploy and run HPC jobs effortlessly.

Launch pre-configured environments for simulations, rendering, and AI training.

Pre-config setups

Launch environments with CUDA, PyTorch, and other dependencies ready to go.

Batch or interactive

Run large-scale batch jobs or interactive sessions—no manual config needed.

Built-in developer tools & integrations.

Runpod SDK for programmatic API access: Python, JavaScript, and Go. Runpod CLI for resource management. Flash CLI for deployment and CI/CD integration. Deploy from your terminal, automate from your pipeline.

Full API access.

Automate everything with a simple, flexible API.

CLI & SDKs.

Deploy and manage directly from your terminal.

GitHub & CI/CD.

Push to main, trigger builds, and deploy in seconds.

Build something new today