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GLM5.2 deployed on AMD MI355X for cheaper inference · 5 sources tracked

Wafer.ai has successfully deployed GLM5.2 on AMD MI355X hardware, achieving a throughput of 2626 tokens/second/node and 213 tokens/second for single-stream inference. This deployment offers a cost advantage, with MI355X GPUs being approximately 2.75 times cheaper than NVIDIA's Blackwell B300. The optimization involved quantizing GLM5.2 to MXFP4 using AMD Quark and employing the sglang inference framework, with specific modifications to enable speculative decoding on ROCm. AI

IMPACT Accelerates adoption of cost-effective inference solutions, potentially lowering the barrier to entry for deploying large language models.

RANK_REASON The cluster details a cost-effective deployment of a frontier model on alternative hardware, highlighting a significant industry trend in optimizing AI inference costs.

Read on Hacker News — AI stories ≥50 points →

AI-generated summary · Google Gemini · from 7 sources. How we write summaries →

GLM5.2 deployed on AMD MI355X for cheaper inference · 5 sources tracked

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
The cluster details a cost-effective deployment of a frontier model on alternative hardware, highlighting a significant industry trend in optimizing AI inference costs.
Source corroboration
7 independent sources
Strong cross-source corroboration — multiple independent publishers covered this within the clustering window.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
95 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
Coverage growth since scoring
+2 source(s) since last score
New sources have picked up this story since our last re-score. Score will update on the next scoring pass.

Full methodology in our editorial standards.

COVERAGE [7]

  1. Hacker News — AI stories ≥50 points TIER_1 English(EN) · latchkey ·

    GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Leanstral 1.5: Proof Abundance for All https:// mistral.ai/news/leanstral-1-5/ # ai

    Leanstral 1.5: Proof Abundance for All https:// mistral.ai/news/leanstral-1-5/ # ai

  3. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell https://www. wafer.ai/blog/glm52-amd # ai # amd

    GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell https://www. wafer.ai/blog/glm52-amd # ai # amd

  4. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Leanstral 1.5: Proof Abundance for All https://mistral.ai/news/leanstral-1-5/ # HackerNews # Tech # AI

    Leanstral 1.5: Proof Abundance for All https://mistral.ai/news/leanstral-1-5/ # HackerNews # Tech # AI

  5. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell https://www.wafer.ai/blog/glm52-amd # HackerNews # Tech # AI

    GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell https://www.wafer.ai/blog/glm52-amd # HackerNews # Tech # AI

  6. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Leanstral 1.5: Proof abundance for all https:// mistral.ai/news/leanstral-1-5/ # ai

    Leanstral 1.5: Proof abundance for all https:// mistral.ai/news/leanstral-1-5/ # ai

  7. Mastodon — mastodon.social TIER_1 Deutsch(DE) · [email protected] ·

    RT @wafer_ai: BREAKING NEWS: #2 on @hackernews!! Engineers have figured out how to run GLM 5.2 on @AMD MI355X with 2626 tokens/sec per node and 213 tokens/

    RT @wafer_ai: 🚨 EILMELDUNG: #2 auf @hackernews!! Ingenieure haben herausgefunden, wie man GLM 5.2 auf @AMD MI355X mit 2626 Token/Sekunde pro Node und 213 Token/Sekunde im Single-Stream-Betrieb ausführt – bei über doppelt so niedrigen Kosten wie bei der B200 ‼️~80% der B200-Durchs…