{"schema_version":"onlylabs.public_signal.v1","title":"DigitalOcean (GradientAI) Writing: How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","description":"DigitalOcean (GradientAI) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/11a32e71-149e-4cb7-9744-eac91c8379e1","json_url":"https://onlylabs.fyi/signals/11a32e71-149e-4cb7-9744-eac91c8379e1/signal.json","generated_at":"2026-06-07T21:14:40.338329+00:00","org":{"slug":"digitalocean","name":"DigitalOcean (GradientAI)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/digitalocean","dossier_json_url":"https://onlylabs.fyi/labs/digitalocean/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/11a32e71-149e-4cb7-9744-eac91c8379e1","signal_json":"https://onlylabs.fyi/signals/11a32e71-149e-4cb7-9744-eac91c8379e1/signal.json","source":"https://www.digitalocean.com/blog/how-we-built-fastest-deepseek-minimax-qwen-on-blackwell-ultra","lab_dossier":"https://onlylabs.fyi/labs/digitalocean","lab_dossier_json":"https://onlylabs.fyi/labs/digitalocean/dossier.json","analysis":"https://onlylabs.fyi/analysis/digitalocean","analysis_json":"https://onlylabs.fyi/analysis/digitalocean/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/digitalocean/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"DigitalOcean (GradientAI) published How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference. 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Sitemap ..... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"DigitalOcean (GradientAI)","predicate":"published","object":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","text":"DigitalOcean (GradientAI) published How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference."},{"subject":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","predicate":"is classified as","object":"writing signal","text":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference is classified as writing signal."},{"subject":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","predicate":"belongs to","object":"talking desk","text":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference belongs to talking desk."},{"subject":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","predicate":"has evidence coverage","object":"1 captured evidence page","text":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference has evidence coverage 1 captured evidence page."}]},"signal":{"id":"11a32e71-149e-4cb7-9744-eac91c8379e1","url":"https://onlylabs.fyi/signals/11a32e71-149e-4cb7-9744-eac91c8379e1","json_url":"https://onlylabs.fyi/signals/11a32e71-149e-4cb7-9744-eac91c8379e1/signal.json","source_url":"https://www.digitalocean.com/blog/how-we-built-fastest-deepseek-minimax-qwen-on-blackwell-ultra","title":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","summary":"DigitalOcean (GradientAI) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"digitalocean","name":"DigitalOcean (GradientAI)","category":"neocloud"},"occurred_at":"2026-04-29T00:00:00.000Z","first_seen_at":"2026-06-05T22:32:16.504595+00:00","date_source":"page.visible_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.digitalocean.com/blog/how-we-built-fastest-deepseek-minimax-qwen-on-blackwell-ultra"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://www.digitalocean.com/blog/how-we-built-fastest-deepseek-minimax-qwen-on-blackwell-ultra","final_url":"https://www.digitalocean.com/blog/how-we-built-fastest-deepseek-minimax-qwen-on-blackwell-ultra","title":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:14:40.338329+00:00","bytes":274450,"raw_path":"cd7f6900993b0d6051c29e2d490e685f8ea52046a1cb4b4a483fa289bb94009a.html","content_hash":"ea502723a134864d6ec88b9f5e5ad2f9d9524d8703c8254862b0f841f6e64234","excerpt_chars":1200,"truncated":true,"excerpt":"How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference | DigitalOcean © 2026 DigitalOcean, LLC. Sitemap . Dark mode is coming soon. Engineering How we built the most performant DeepSeek V3.2, MiniMax-M2.5 and Qwen 3.5 397B on DigitalOcean Serverless Inference By Debarshi Raha and Bhaskar Dutt Updated: April 29, 2026 6 min read <- Back to blog home Today at Deploy, we are announcing the general availability of DeepSeek V3.2, MiniMax-M2.5, and Qwen 3.5 397B on DigitalOcean Serverless Inference. On DeepSeek V3.2 and Qwen 3.5 397B, we deliver #1 output speed across all providers Artificial Analysis tested . On DeepSeek V3.2 specifically, that translates to 230 output tokens per second and sub-1-second Time-to-First-Token (TTFT) for 10,000 input tokens. This post covers how we got there: the GPU-level work, the serving stack tuning, and the specific technical tradeoffs we made along the way. Why fast inference matters The focus in AI development has fundamentally shifted from the training of models to the efficiency of inference. 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