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.
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?
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.