Runcrate

GPU cloud for AI developers and their agents: on-demand GPUs, 200+ open models behind one OpenAI-compatible API, and an MCP server. runcrate.ai

Joined on Oct 20, 2026 https://www.runcrate.ai

Runcrate

Oct 26

4 GPUs, 2x speed: why PyTorch DDP stalled on a PCIe-only 4x RTX A6000, and two flags that took it to 3.6x

#pytorch #gpu #machinelearning #performance

4 min read

Runcrate

Oct 26

How long until a rented GPU runs CUDA? Launch to first matmul on six GPU types, timed

#gpu #cuda #pytorch #devops

5 min read

Runcrate

Oct 26

vLLM on three GPUs: Qwen2.5-7B tokens per second and cost per 1M tokens on RTX A6000, L40S and H100

#vllm #llm #gpu #benchmark

5 min read

Runcrate

Oct 25

Six open models, one question: 1.3 s for the fastest answer, 16 s for the slowest, and hidden thinking made the difference

#llm #benchmark #python #ai

5 min read

Runcrate

Oct 22

Run your LLM evals every night on a GPU that only exists for a minute

#machinelearning #llm #devops #tutorial

5 min read

Runcrate

Oct 22

Fine-tune an open model on one GPU with a job that stops itself ($0.05, 4 minutes)

#machinelearning #python #llm #tutorial

5 min read

Runcrate

Oct 21

How to compare GPU cloud prices without fooling yourself

#gpu #cloud #machinelearning #python

5 min read

Runcrate

Oct 21

Switch from OpenAI to open models in two lines (streaming, tools and JSON mode still work)

#ai #openai #llm #python

4 min read

Runcrate

Oct 20

Give your coding agent a GPU, and a budget: the Runcrate MCP server in Claude Code, Codex and Cursor

#ai #mcp #machinelearning #claude

4 min read

DEV Community

Runcrate

Badges

Writing Debut

4 GPUs, 2x speed: why PyTorch DDP stalled on a PCIe-only 4x RTX A6000, and two flags that took it to 3.6x

How long until a rented GPU runs CUDA? Launch to first matmul on six GPU types, timed

vLLM on three GPUs: Qwen2.5-7B tokens per second and cost per 1M tokens on RTX A6000, L40S and H100

Six open models, one question: 1.3 s for the fastest answer, 16 s for the slowest, and hidden thinking made the difference

Run your LLM evals every night on a GPU that only exists for a minute

Fine-tune an open model on one GPU with a job that stops itself ($0.05, 4 minutes)

How to compare GPU cloud prices without fooling yourself

Switch from OpenAI to open models in two lines (streaming, tools and JSON mode still work)

Give your coding agent a GPU, and a budget: the Runcrate MCP server in Claude Code, Codex and Cursor