Anthropic open-sources Claude-written GPU optimizations that make 30+ biomolecular models ~4× faster on average

An NVIDIA blog post describes using the BioNeMo Inference Runtime (BioIR) to accelerate biomolecular structure-prediction models on NVIDIA GPUs at proteome scale, keeping a standard PyTorch workflow. The post targets practitioners moving entire prediction worklists through inference pipelines efficiently.

Releases·Tool Release

Gaining 3x inference while running Ollama on iGPU instead of CPU

A blog post demonstrates that running Ollama on an integrated GPU (iGPU) instead of the CPU can yield up to 3x faster inference. The post provides practical guidance for configuring Ollama to leverage the iGPU, which is significant for users without discrete GPUs.

A blog post demonstrates that running Ollama on an integrated GPU (iGPU) instead of the CPU can yield up to 3x faster inference. The post provides practical guidance for configuring Ollama to leverage the iGPU, which is significant for users without discrete GPUs.

A developer released open-source AMDGCN kernels aimed at optimizing LLM inference. The kernels target AMD hardware to improve performance.

A user reports that Claude behaves differently across two accounts with identical plans, settings, and usage habits, including widget suggestions, token usage, and response quality. The post suggests possible account-level variability in Claude's behavior.

Anthropic is developing Claude to autonomously design drugs, according to a post on X shared on Reddit. The initiative could accelerate pharmaceutical research by automating molecular design.