#non-NVIDIA GPU
5 related articles
·3 min
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 are challenging OpenAI's closed-source dominance. Analyzing the business logic, chip ecosystems, and US-China strategic dynamics behind the open vs. closed AI debate.
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·3 min
Jensen Huang's First Tweet Backs AI Open Source — But It's Really About NVIDIA's Ecosystem Anxiety
Jensen Huang's first tweet backs AI open source, but behind it lies NVIDIA's deep anxiety over CUDA ecosystem displacement. We analyze why open-source models matter and what's really at stake.
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·3 min
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 challenge OpenAI's closed-source dominance. Analysis of open vs. closed AI strategies, CUDA moat erosion, and the US-China strategic battle for AI supremacy.
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4 Alternatives for Running CUDA on Non…
·3 min
4 Alternatives for Running CUDA on Non-NVIDIA Hardware: A Comparative Guide
A deep dive into running CUDA on non-NVIDIA hardware (AMD, Intel): comparing ROCm/HIP, ZLUDA, SYCL/oneAPI, and OpenCL across principles, use cases, and limitations.
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·3 min
DeepSeek-V4 Flash RL Training Successfully Ported to AMD MI355X GPU: A Complete Breakdown
The Miles team and AMD announce the full port of DeepSeek-V4 Flash RL training to AMD Instinct MI355X GPUs on ROCm, boosting AIME pass@1 from 0.39 to 0.49—a milestone for compute ecosystem diversity.
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