Alternative AI compute stacks and interconnects

AWS, Google, AMD, Intel, and PsiQuantum are pushing alternative software stacks, unified runtimes, and optical interconnects to reduce dependency on Nvidia in AI clusters.

Detected: 2026-11-02 · Updated: 2026-11-02

2026-10-30 • Tom's Hardware

PsiQuantum brings photonics to GPU networks: 8x8 optical switch with lower losses

PsiQuantum has built an 8x8 optical switch prototype for AI data center GPU networks. The company draws on its photonics expertise and reports lower light loss than rival solutions, with plans to develop larger devices. The project highlights the gro...

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2026-10-29 • Phoronix

AMD Releases ROCm HRX Loom v0.1, Targeting CPUs, GPUs and NPUs

The first Loom SDK v0.1 from AMD marks the start of the Hyperloom roadmap announced at Advancing AI, aiming to optimize agentic workloads across CPUs, GPUs and NPUs. For local deployment, the signal is twofold: AMD wants to unify the ROCm ecosystem, ...

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2026-10-27 • DigiTimes

AWS and Google challenge CUDA while AMD and Intel lower AI switch costs

Competition with CUDA is widening: AWS and Google are pushing alternative software stacks, while AMD and Intel aim to lower the cost of AI cluster switches. Reduced dependence on NVIDIA's software and cheaper networking shift the TCO equation for lar...

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Alternative AI compute stacks and interconnects

Related Coverage

PsiQuantum brings photonics to GPU networks: 8x8 optical switch with lower losses

AMD Releases ROCm HRX Loom v0.1, Targeting CPUs, GPUs and NPUs

AWS and Google challenge CUDA while AMD and Intel lower AI switch costs