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Deep dives into our architecture, engineering decisions, and the technology powering Vectorlay's fault-tolerant GPU network.
How Vectorlay's control plane coordinates thousands of GPU nodes with WebSockets, zero-touch provisioning, and reliable job delivery via BullMQ.
How the agent runs on GPU nodes, manages dependencies, reports health, and executes container deployments with Kata Containers.
How we use VFIO and Kata Containers to provide direct GPU access with VM-level isolation for untrusted workloads.
How Vectorlay detects failures, routes around unhealthy nodes, and automatically recovers workloads without manual intervention.
A real customer case study: replacing Vercel's build infrastructure with VectorLay self-hosted GitHub runners saved $4,000/month in build minutes — with faster builds and zero config overhead.
A complete guide to NVIDIA H200, GB200 NVL72, B200, and AMD MI300X GPUs. Specs, pricing, availability, and when each GPU makes sense for your AI workloads.
Why reusing existing consumer GPUs for AI inference is greener than building new data centers. The environmental argument for distributed networks.
Moonshot AI's Kimi K2.5 is a 1T parameter open-source model outperforming closed-source giants on key benchmarks. Here's everything you need to know about deploying it on your own GPU infrastructure.
Compare the top GPU cloud providers for LLM inference. Side-by-side analysis of VectorLay, RunPod, Vast.ai, Lambda, AWS, and GCP for models from 7B to 70B parameters.
Practical strategies to cut your GPU inference bill — from right-sizing GPUs and quantization to distributed inference on consumer hardware.
How distributed GPU inference works, why overlay networks enable automatic failover, and how VectorLay built a fault-tolerant inference platform on consumer hardware.
Vectorlay deliberately chose a simple 'one container per cluster' model over complex multi-container orchestration. This isn't a limitation—it's a feature. Here's why simplicity wins for GPU inference.
Turn your idle RTX 4090 or 3090 into a passive income stream. Learn how to rent out your GPU for AI inference and earn $300+/month while you sleep.
Step-by-step technical guide to setting up your GPU node. From BIOS configuration to VFIO passthrough to going live on the network.
Side-by-side comparison of GPU cloud pricing for ML inference. See how VectorLay saves you 50-80% compared to AWS, Google Cloud, and other providers.
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