Use Claude Code With Your Own Model on Runpod
If you've been using Claude Code with Anthropic's hosted models, you already know how powerful it is for AI-assisted development. But what if you could.
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RunPod Blog
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Qwen3.8-27B: Frontier-Class Coding on a Single 24GB GPU
Qwen 3.8 is punching well above its weight for its relatively small size compared to big foundational models. Is there a such thing as a free lunch?
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AMD MI300X vs NVIDIA H100 SXM: Mixtral 8x7B Inference
Runpod benchmarks AMD's MI300X against Nvidia's H100 SXM using Mistral's Mixtral 8x7B model. The results highlight performance and cost trade-offs across.
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The accidental multi-cloud
Few companies planned to run compute across several clouds and their own hardware. What that costs developers, and what you can do about it today.
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How Do I Transfer Data Into My Runpod?
Need to move files into your Runpod? This guide explains the fastest, most reliable ways to transfer large datasets into your pod, whether local or.
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Where Did My Files Go? A Straight Guide to Runpod Storage
Three storage layers, three lifetimes, and how to get your work onto the right one before you lose it instead of after.
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What’s new in Runpod for Agents: November 2026
Skills tell an agent what to do and the MCP server does it. See how sourced rules, evals and live-account tests keep Runpod’s agent skills accurate.
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Comparing the 5090 to the 4090 and B200: How Does It Stack Up?
Benchmark Qwen2.5-Coder-7B-Instruct across NVIDIA's B200, RTX 5090, and 4090 to identify optimal GPUs for LLM inference, compare token throughput, cost.
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Build container images on your Runpod Pod with Runpod Weld
Runpod Weld builds and pushes container images from inside a Runpod Pod, no Docker daemon needed. Build a demo image, push it, and run it on a Pod.
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How to get started with Qwen3.8-Flash-Next on Runpod Serverless
Deploy Qwen3.8-Flash-Next on Runpod with vLLM's dedicated image. Validated flags, 4x H200 hardware math, measured cold starts, and the NCCL fix you need on day one.
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Run DeepSeek R1 on Just 480GB of VRAM
DeepSeek R1 remains one of the top open-source models. This post shows how to run it efficiently on just 480GB of VRAM without sacrificing performance.
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Deploying Kimi K3 in 4-bit on a single 8xB300 Pod on Runpod
How to get up and running with Kimi K3 without the overhead of running an entire cluster.
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Introducing A40 GPUs for Machine Learning | Runpod
NVIDIA A40 GPUs on Runpod pair high performance with low cost and strong availability, making them a good value for fine-tuning LLMs and machine learning.
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NVIDIA A40 and A6000 for Budget LLM Fine-Tuning
Discover why NVIDIA's A40 and A6000 GPUs are the best-kept secret for budget-conscious LLM fine-tuning. With 48GB VRAM, strong availability, and low cost.
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How a Solo Dev Built an AI for Dads, No GPU, No Team, Just $5
No GPU. No team. Just $5. This is how one solo developer used Runpod Serverless to build and deploy a working AI product, "AI for Dads", without writing.
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