YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

RTX 5090 tops speed, AMD wins capacity

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

RTX 5090 tops speed, AMD wins capacity
OPEN LINK ↗
// 63d agoBENCHMARK RESULT

RTX 5090 tops speed, AMD wins capacity

New benchmarks compare the RTX 5090 against AMD’s AI395 (Strix Halo) and dual R9700 setups, revealing that while NVIDIA leads in raw speed for smaller models, AMD’s unified memory architecture is essential for running 122B+ parameter models locally.

// ANALYSIS

VRAM capacity, not raw compute, is now the primary bottleneck for local LLM performance.

  • RTX 5090 delivers unmatched throughput (205 t/s) for models under 32GB but is effectively barred from 70B+ dense models.
  • AMD AI395 (Strix Halo) proves the value of unified memory, running 122B MoE models at 20 t/s—a feat impossible on single consumer NVIDIA cards.
  • ROCm dominates prompt processing performance, but Vulkan surprisingly yields better generation speeds for MoE architectures.
  • Dual-GPU setups on AMD show significant prompt processing gains but highlights interconnect overhead as generation speeds remain flat.
  • Disabling mmap (`-mmp 0`) is a critical optimization for APUs to prevent iGPU choking on large shared-memory allocations.
// TAGS
llama-cppbenchmarkgpuinferenceopen-sourcellm

DISCOVERED

63d ago

2026-03-25

PUBLISHED

63d ago

2026-03-25

RELEVANCE

8/ 10

AUTHOR

ReasonableDuty5319