Best of GPU — September 2025

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   Article

   Modal·37w

   Introducing Notebooks

   Modal launches Notebooks, a collaborative cloud-based computing environment that provides instant GPU-enabled Python kernels starting in under 5 seconds. The platform offers real-time collaborative editing, automatic resource scaling from 0.125 CPUs to 8 H100/B200 GPUs, and seamless integration with Modal's existing infrastructure including Volumes and Functions. Key features include fast cold-start times, automatic idle shutdown to reduce costs, shared environments across teams, and modern development tools like LSP support and AI completions.

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2. 2
   Article

   Medium·36w

   Don’t buy GPUs for AI

   GPUs are becoming unnecessary for most AI applications as smaller language models like Mistral 7B and Phi-3 Mini deliver practical results on CPUs. Modern processors, edge devices with NPUs, and cloud rental options provide cost-effective alternatives to expensive GPU ownership. Specialized hardware like TPUs and software optimizations through quantization are making GPUs obsolete for all but the largest model training operations.

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3. 3
   Article

   NVIDIA Developer·36w

   Release v1.9.0 · NVIDIA/warp

   Warp 1.9.0 introduces a fully differentiable marching cubes implementation written entirely in Warp, CUDA 13 toolkit compatibility, and new ahead-of-time compilation functions. Performance improvements include graph-capturable linear solvers and automatic tiling for sparse linear algebra and finite element quadrature. Programming model enhancements add better indexing for composite types, direct IntEnum support, local array initialization in kernels, and indexed tile operations for flexible memory access patterns.

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