Decentralized GPU Power for Next-Gen AI
Host nodes, rent compute, earn rewards. Parallel processing across a global network with on-chain settlement.
Decentralized compute for demanding AI workloads
Built for teams,
pushing boundaries
Why Reaver GPU
Built for teams,
pushing boundaries
Reaver GPU (with snapshots)
3.8s
Reaver GPU
42s
Provider A
71s
EKS/GKE
156s
Reaver GPU (with snapshots)
3.38s
Reaver GPU
8.23s
Provider A
61s
EKS/GKE
91s
Low-latency from the first request.
Launch compute tasks in seconds with memory and GPU snapshotting for fast restores. Reaver GPU handles sudden bursts and scale-outs automatically, without compromising performance or user experience.
No reservations, no lock-ins.
Instant access to thousands of GPUs across distributed nodes and regions. Reaver GPU scales your workloads in real time - no capacity planning, no reservations, no centralized infrastructure required.
Transparent on-chain settlement.
Every compute job is tracked, verified, and settled on-chain. No invoices, no disputes, no hidden fees. Pay only for what you use—with full transparency and cryptographic proof of execution.
- P50
- P90
- Max
- P50
- P90
- Max
- P50
- P90
Run a node. Earn rewards.
Host a GPU node and contribute compute to the network. Track uptime, utilization, and earnings in real time. Full dashboard visibility into every job processed on your hardware.
Security
Stable, secure and compliant
-
SOC 2, HIPAA, GDPR, ISO
Built to meet strict security and privacy standards, including giving you a compliant foundation for sensitive and regulated workloads.
-
Data Residency
Deploy workloads in specific regions to meet regulatory or contractual data privacy requirements. Reaver GPU ensures your data stays exactly where it needs to be.
-
Isolation
We run each workload on top of gVisor in a hardened, isolated environment to provide strong container isolation without compromising performance.
-
99.999% Uptime
We have multi-region failovers so if one region or cloud goes down, we will route traffic to the next best alternative within your constraints
Built with Reaver GPU
500ms Low Latency GPU Node
Create a GPU node that can respond in 500ms
Real-time inference endpoint
Serve a model on a GPU node with sub-second response
Distributed render job
Run parallel rendering across multiple GPU nodes
Serving GPT-OSS with vLLM
Deploy OpenAI’s Latest Open Source Model with vLLM
Deploy a VLM with SGLang
Build an intelligent ad analysis system that evaluates advertisements across multiple dimensions
Deploy Triton Inference server with TensorRT-LLM
Achieve high throughput with Triton Inference Server and the TensorRT-LLM framework
Hyperparameter Sweep training Llama 3.2 with WandB
Run a hyperparameter sweep on Llama 3.2 with WandB
Deploy a Gradio Chat Interface
Using FastAPI, Gradio and Reaver GPU to deploy an AI workload chat interface
Generate Images using SDXL
Generate high quality images using SDXL with refiner
High Throughput Server for Embeddings and Reranking
A high-throughput, low-latency REST API for serving text-embeddings and reranking models
Industries
Powering GPU compute
across industries
- Batch
- Rendering
How a Render Studio Cut Costs 18x Hosting GPU Nodes on Reaver GPU
- Batch
- Rendering
How a Compute Team Cut Costs 50% with Elastic GPU Scaling on Reaver GPU
- Node
- Hosting
How a Render Farm Scaled 10x Faster on Reaver GPU
- Distributed
- Compute
How an ML Lab Trains Models Cheaper on Reaver GPU
- Distributed
- Compute
How a Studio Ran Distributed Rendering on Reaver GPU
Latest from our blog
- GPU Compute
- Rendering
Achieving 83% Speed Improvements in Custom Container Images
- Engineering
Rethinking Container Image Distribution to eliminate cold starts
- Tutorial