heterogeneous-compute

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#heterogeneous-compute

@omarsar0: Fast inference is becoming increasingly important for agents. As proactive, always-on agents rise and demand for multi-…

X AI KOLs Following ↗ · 5d ago Cached

General Compute announced a cluster-scale deployment of Positron AI on its heterogeneous cloud, betting that demand for fast inference driven by always-on agents and multi-agent systems will outstrip supply for the next decade.

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#heterogeneous-compute

@Modular: Compute is becoming increasingly heterogeneous, and programming it currently means juggling various languages. The goal…

X AI KOLs Following ↗ · 2026-10-05 Cached

Modular CEO Chris Lattner will deliver a SPLASH 2026 keynote on Mojo, a systems language targeting the heterogeneous compute era, covering parametric metaprogramming and an origins-based ownership model alongside open language design challenges.

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#heterogeneous-compute

@PyTorch: New chips are shipping faster than ever before, but the ecosystem is being held back by having to rewrite and then re-d…

X AI KOLs Timeline ↗ · 2026-09-15 Cached

A keynote at PyTorch Conference North America will showcase an open software platform for heterogeneous compute powered by Mojo and MAX, addressing ecosystem challenges in deploying AI models across diverse hardware.

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#heterogeneous-compute

@Modular: Portability across CPUs, GPUs, and accelerators sounds simple until you've tried to build it. At #ModCon2026, @clattner…

X AI KOLs Timeline ↗ · 2026-08-24 Cached

Modular CEO Chris Lattner and Qualcomm CEO Cristiano Amon discussed portability across CPUs, GPUs, and accelerators at ModCon2026, emphasizing their collaboration to improve software for heterogeneous compute following Qualcomm's acquisition of Modular.

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#heterogeneous-compute

@xinyzng: It's interesting to see @MicrosoftAI uses ray actors not just for controller and rollout workers but problem workers fo…

X AI KOLs Following ↗ · 2026-06-03

The tweet discusses Microsoft AI's use of Ray actors for training the MAI-Thinking-1 model, enabling finer granularity for heterogeneous compute and better CPU resource utilization in GPU clusters.

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#heterogeneous-compute

@bastani_behnam: We just published how we unlocked +50% inference capacity on a 27B model — no new GPUs, no new nodes, at a fraction of …

X AI KOLs Following ↗ · 2026-04-21 Cached

OpenInfer demonstrates "vertical disaggregation" that boosts Qwen 3.5 27B throughput by ~50% by co-executing quantized layers across a single node’s AMD EPYC CPU and Nvidia L40S GPU with a custom SLA-aware scheduler.

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