DeepSeek(@deepseek_ai)

🔍 Search & Fetch APIs are now open to everyone! Powered by our in-house search engine, serving hun...

DeepSeek (@deepseek_ai) — Sat, 17 Oct 2026 08:35:57 GMT

🔍 Search & Fetch APIs are now open to everyone!

Powered by our in-house search engine, serving hundreds of millions of requests daily worldwide.

💰 Each endpoint: $0.75 per 1,000 calls.
📖 Docapi-docs.deepseek.com/guides/searchQIr
📌 Search & Fetch calls via server-side tools in DeepSeek Harness, Claude Code, and Codex are currently free for DeepSeek API users. Billing starts Oct 31, 2026, at 16:00 UTC.

3/4

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🔓 Open-source release Get DeepSeek-V4.1-Flash-1017: 🤗 Hugging Face: https://t.co/PxjsLqLx2m 🔗 Mo...

DeepSeek (@deepseek_ai) — Sat, 17 Oct 2026 08:35:57 GMT

🔓 Open-source release

Get DeepSeek-V4.1-Flash-1017:
🤗 Hugging Facehuggingface.co/deepseek-ai/De…2m
🔗 ModelScopmodelscope.cn/models/deepsee…G2H

4/4

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🎮 Build complete projects from scratch DeepSeek-V4.1-Flash-1017 uses reinforcement learning with s...

DeepSeek (@deepseek_ai) — Sat, 17 Oct 2026 08:35:56 GMT

🎮 Build complete projects from scratch

DeepSeek-V4.1-Flash-1017 uses reinforcement learning with self-feedback to improve end-to-end project development—from game creation to 3D modeling.

See it in action 👇

2/4

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🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and sh...

DeepSeek (@deepseek_ai) — Sat, 17 Oct 2026 08:35:54 GMT

🚀 DeepSeek-V4.1-Flash-1017 is here!

Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.

🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.

1/4

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Please check out @DeepSeekHarness. We just released packaged desktop versions for macOS and Windows;...

DeepSeek (@deepseek_ai) — Fri, 02 Oct 2026 07:00:07 GMT

Please check out @DeepSeekHarness. We just released packaged desktop versions for macOS and Windows; Linux users can get it from the @​deepseek-ai/dsh package on npm. deepseek.com/harness

DeepSeek Harness@DeepSeekHarness

DeepSeek Harness for desktop is now available on macOS and Windows. x.com/i/article/2104…

🔗 View Quoted Tweet

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🌐 Supporting open source. Expanding deployment options. We’ll work closely with the open-source co...

DeepSeek (@deepseek_ai) — Thu, 10 Sep 2026 06:10:14 GMT

🌐 Supporting open source. Expanding deployment options.

We’ll work closely with the open-source community on V4.1-Flash inference support and explore more deployment options.
Planning a large-scale deployment with 2,000 GPUs + a storage cluster? Let’s talk.

🔹 Modelhuggingface.co/deepseek-ai/De…6a
🔹 Papehuggingface.co/deepseek-ai/De…SSV

6/6

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💰 More efficient architecture. Lower API prices. V4.1-Flash lets us serve more users at a lower co...

DeepSeek (@deepseek_ai) — Thu, 10 Sep 2026 06:10:13 GMT

💰 More efficient architecture. Lower API prices.

V4.1-Flash lets us serve more users at a lower cost. We’re passing the savings on to you.

🔹 Peak/off-peak pricing continues to balance demand.
🔹 Off-peak rates are 50% of peak rates. Schedule flexible workloads off-peak to save.
🔹 New pricing takes effect at 04:00 UTC on Sept 10, 2026.

5/6

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⚡ V4.1-Flash is now live on the DeepSeek API with native multimodal support. Set your model to deep...

DeepSeek (@deepseek_ai) — Thu, 10 Sep 2026 06:10:12 GMT

⚡ V4.1-Flash is now live on the DeepSeek API with native multimodal support.

Set your model to deepseek-flash.

🔹 V4-Flash & V4-Flash-Vision-Exp are retired. For compatibility, deepseek-v4-flash and deepseek-v4-flash-vision-exp temporarily route to V4.1-Flash.
🔹 Tests by multiple parties put V4.1-Flash ahead of V4-Pro on performance, cost, speed & total runtime. We’re phasing out V4-Pro.
🔹 Starting at 04:00 UTC on Sept 14, 2026, all deepseek-v4-pro requests will route to V4.1-Flash at V4.1-Flash rates. This will continue until V4.1-Pro launches.

🤝 Official partners @WorkBuddy_AI  (including Codebuddy) & @opencode  now fully support V4.1-Flash. Try it today!

4/6

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💾 Smaller KV cache. Bigger savings. Compared with the previous generation, V4.1-Flash’s KV cache n...

DeepSeek (@deepseek_ai) — Thu, 10 Sep 2026 06:10:11 GMT

💾 Smaller KV cache. Bigger savings.

Compared with the previous generation, V4.1-Flash’s KV cache needs just:
🔹 1/4 the HBM
🔹 1/8 the SSD storage
Cache-hit charges often account for a large share of agent costs. Compressing the cache cuts those costs significantly.

3/6

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🧠 Asymmetric architecture. More intelligence, less cost. 🔹 552B-parameter MoE. 🔹 New Causal Enco...

DeepSeek (@deepseek_ai) — Thu, 10 Sep 2026 06:10:10 GMT

🧠 Asymmetric architecture. More intelligence, less cost.

🔹 552B-parameter MoE.
🔹 New Causal Encoder–Decoder architecture: just 8B active parameters for input, 16B for output.
🔹 New pre-training methods + larger-scale RL post-training deliver benchmark results ahead of flagship models, including DeepSeek-V4-Pro.

2/6

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🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest mo...

DeepSeek (@deepseek_ai) — Thu, 10 Sep 2026 06:10:09 GMT

🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.

🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.

1/6

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Multimodal API support 🔌 🔹 Set model='deepseek-v4-flash-vision-exp' 🔹 Images are tokenized for b...

DeepSeek (@deepseek_ai) — Fri, 21 Aug 2026 09:17:40 GMT

Multimodal API support 🔌

🔹 Set model='deepseek-v4-flash-vision-exp'
🔹 Images are tokenized for billing: up to 384 tokens each, at V4-Flash pricing
🔹 Supports Chat Completions, Messages & Responses
🔹 Supports mixed text + image input; images can be provided via base64, external URLs, or the Files API.

Dapi-docs.deepseek.com/guides/visionZ3wWB

3/n

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Files API is now live. 📁 🔹 Free to use 🔹 Upload an image once, then reference it by file_id to s...

DeepSeek (@deepseek_ai) — Fri, 21 Aug 2026 09:17:40 GMT

Files API is now live. 📁

🔹 Free to use
🔹 Upload an image once, then reference it by file_id to save request bandwidth
🔹 Reuse the same image across requests—no need to upload it again

Learn moapi-docs.deepseek.com/guides/files_a…6xmc

4/n

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Multimodality unlocks more agent use cases. 👀 V4-Flash-Vision-Exp works smoothly across agent fram...

DeepSeek (@deepseek_ai) — Fri, 21 Aug 2026 09:17:39 GMT

Multimodality unlocks more agent use cases. 👀

V4-Flash-Vision-Exp works smoothly across agent frameworks, combining visual understanding with a wide range of tools to unlock more practical workflows.

2/n

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DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀 🔹 This experimental mult...

DeepSeek (@deepseek_ai) — Fri, 21 Aug 2026 09:17:38 GMT

DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀

🔹 This experimental multimodal model matches DeepSeek-V4-Flash on text capabilities—including agents, reasoning, and world knowledge.
🔹 On multimodal agent benchmarks, V4-Flash-Vision-Exp makes a major leap over V4-Flash, bringing multimodal agent performance close to Opus-4.8.

Try it with model='deepseek-v4-flash-vision-exp'. DeepSeek Harness 0.1.1 was released today with out-of-the-box support for the new model.

1/n

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🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developer...

DeepSeek (@deepseek_ai) — Thu, 13 Aug 2026 13:02:03 GMT

🧩 DeepSeek Harness v0.1 is now available in Developer Preview!

🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license.
🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended.

Try it nogithub.com/deepseek-ai/de…hKA

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API pricing update 💰 With the V4 lineup release, we’re updating our API pricing and introducing pe...

DeepSeek (@deepseek_ai) — Thu, 13 Aug 2026 11:31:23 GMT

API pricing update 💰

With the V4 lineup release, we’re updating our API pricing and introducing peak and off-peak rates. Off-peak rates are 50% lower than peak, enabling more flexible workload scheduling. 📉

New pricing takes effect at 16:00 UTC, Aug 16, 2026 🕒

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We’re launching DeepSeek-V4-Pro today! 🚀 🔷 Major Agent upgrades with strong production gains! 🔷 ...

DeepSeek (@deepseek_ai) — Thu, 13 Aug 2026 11:31:22 GMT

We’re launching DeepSeek-V4-Pro today! 🚀

🔷 Major Agent upgrades with strong production gains!
🔷 Flexible reasoning effort for V4-Pro & V4-Flash: low for simple tasks, high for daily Agent workflows, max for complex tasks.
🔷 Native OpenAI Responses API support, optimized for Codex with one-click setup.

V4 Pro is now available on app/web. Try it via “Expert Mode”.
V4 Pro is also available via API. Model names remain unchanged—please refer to the API docs for setup details.

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⚠️ Note 🔷 DeepSeek-V4-Flash-0731 keeps the exact same model architecture and size as the preview v...

DeepSeek (@deepseek_ai) — Fri, 31 Jul 2026 06:56:42 GMT

⚠️ Note

🔷 DeepSeek-V4-Flash-0731 keeps the exact same model architecture and size as the preview version.
🔷 Today's upgrade applies ONLY to the DeepSeek-V4-Flash API. The DeepSeek-V4-Pro API and App/Web models remain unchanged for now.

The official release of DeepSeek-V4-Pro is coming ASAP! Stay tuned.

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🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta! 🔷 We’ve massively upgraded its Agent...

DeepSeek (@deepseek_ai) — Fri, 31 Jul 2026 06:56:41 GMT

🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!

🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!

Check out the configuration details in our official API doapi-docs.deepseek.com/quick_start/ag…Meiq

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We are making our discount permanent! 🎉 Enjoy building with DeepSeek-V4-Pro and bring your innovat...

DeepSeek (@deepseek_ai) — Fri, 22 May 2026 16:01:03 GMT

We are making our discount permanent! 🎉

Enjoy building with DeepSeek-V4-Pro and bring your innovative ideas to life! 🚀

DeepSeek@deepseek_ai

The DeepSeek-V4-Pro discount has been extended until May 31, 2026, 15:59 UTC!

🔗 View Quoted Tweet

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The DeepSeek-V4-Pro discount has been extended until May 31, 2026, 15:59 UTC!

DeepSeek (@deepseek_ai) — Wed, 29 Apr 2026 02:20:52 GMT

The DeepSeek-V4-Pro discount has been extended until May 31, 2026, 15:59 UTC!

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🔥DeepSeek Input Cache Price Drop! Effective immediately, the price for input cache hits across the...

DeepSeek (@deepseek_ai) — Sun, 26 Apr 2026 16:35:11 GMT

🔥DeepSeek Input Cache Price Drop!

Effective immediately, the price for input cache hits across the ENTIRE DeepSeek API series is reduced to just 1/10th of the original price! Build more efficiently for less.

📌Reminder: The DeepSeek-V4-Pro 75% OFF promotion is still active until May 5th, 2026, 15:59 (UTC Time).

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🔥DeepSeek-V4-Pro API is 75% OFF until May 5th, 2026, 15:59 (UTC Time)! Don't miss out on this massi...

DeepSeek (@deepseek_ai) — Sat, 25 Apr 2026 15:33:11 GMT

🔥DeepSeek-V4-Pro API is 75% OFF until May 5th, 2026, 15:59 (UTC Time)! Don't miss out on this massive discount.

🛠️Integration Updates:
🔹Claude Code: Set model to deepseek-v4-pro[1m]  to unlock 1M context!
🔹OpenCode: Update to v1.14.24+
🔹OpenClaw: Update to v2026.4.24+

Check the latest official API docs for full detaapi-docs.deepseek.com/quick_start/pr…dDpyU

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🔹 Amid recent attention, a quick reminder: please rely only on our official accounts for DeepSeek n...

DeepSeek (@deepseek_ai) — Fri, 24 Apr 2026 03:24:16 GMT

🔹 Amid recent attention, a quick reminder: please rely only on our official accounts for DeepSeek news. Statements from other channels do not reflect our views.
🔹 Thank you for your continued trust. We remain committed to longtermism, advancing steadily toward our ultimate goal of AGI.

7/n

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API is Available Today! 🔹 Keep base_url, just update model to deepseek-v4-pro or deepseek-v4-flash...

DeepSeek (@deepseek_ai) — Fri, 24 Apr 2026 03:24:15 GMT

API is Available Today!

🔹 Keep base_url, just update model to deepseek-v4-pro or deepseek-v4-flash.
🔹 Supports OpenAI ChatCompletions & Anthropic APIs.
🔹 Both models support 1M context & dual modes (Thinking / Non-Thinkingapi-docs.deepseek.com/guides/thinkin…I8T

⚠️ Note: deepseek-chat & deepseek-reasoner will be fully retired and inaccessible after Jul 24th, 2026, 15:59 (UTC Time). (Currently routing to deepseek-v4-flash non-thinking/thinking).

6/n

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Structural Innovation & Ultra-High Context Efficiency 🔹 Novel Attention: Token-wise compression + ...

DeepSeek (@deepseek_ai) — Fri, 24 Apr 2026 03:24:13 GMT

Structural Innovation & Ultra-High Context Efficiency

🔹 Novel Attention: Token-wise compression + DSA (DeepSeek Sparse Attention).
🔹 Peak Efficiency: World-leading long context with drastically reduced compute & memory costs.
🔹 1M Standard: 1M context is now the default across all official DeepSeek services.

4/n

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DeepSeek-V4-Flash 🔹 Reasoning capabilities closely approach V4-Pro. 🔹 Performs on par with V4-Pro...

DeepSeek (@deepseek_ai) — Fri, 24 Apr 2026 03:24:12 GMT

DeepSeek-V4-Flash

🔹 Reasoning capabilities closely approach V4-Pro.
🔹 Performs on par with V4-Pro on simple Agent tasks.
🔹 Smaller parameter size, faster response times, and highly cost-effective API pricing.

3/n

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DeepSeek-V4-Pro 🔹 Enhanced Agentic Capabilities: Open-source SOTA in Agentic Coding benchmarks. ...

DeepSeek (@deepseek_ai) — Fri, 24 Apr 2026 03:24:10 GMT

DeepSeek-V4-Pro

🔹 Enhanced Agentic Capabilities: Open-source SOTA in Agentic Coding benchmarks.
🔹 Rich World Knowledge: Leads all current open models, trailing only Gemini-3.1-Pro.
🔹 World-Class Reasoning: Beats all current open models in Math/STEM/Coding, rivaling top closed-source models.

2/n

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🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M co...

DeepSeek (@deepseek_ai) — Fri, 24 Apr 2026 03:24:09 GMT

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now chat.deepseek.com1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Repohuggingface.co/deepseek-ai/De…kYtp
🤗 Open Weighuggingface.co/collections/de…i7SDM

1/n

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🛠 Open Source Release 📦 DeepSeek-V3.2 Model: https://t.co/Kh8HzHl3uX 📦 DeepSeek-V3.2-Speciale Mo...

DeepSeek (@deepseek_ai) — Mon, 01 Dec 2025 11:19:22 GMT

🛠 Open Source Release

📦 DeepSeek-V3.2 Modelhuggingface.co/deepseek-ai/De…uX
📦 DeepSeek-V3.2-Speciale Modehuggingface.co/deepseek-ai/De…0AJ
📄 Tech repohuggingface.co/deepseek-ai/De…lMpX

5/n

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💻 API Update 🔹 V3.2: Same usage pattern as V3.2-Exp. 🔹 V3.2-Speciale: Served via a temporary end...

DeepSeek (@deepseek_ai) — Mon, 01 Dec 2025 11:19:21 GMT

💻 API Update

🔹 V3.2: Same usage pattern as V3.2-Exp.
🔹 V3.2-Speciale: Served via a temporary endpoint: base_urapi.deepseek.com/v3.2_speciale_…Lbm". Same pricing as V3.2, no tool calls, available until Dec 15th, 2025, 15:59 (UTC Time).
💡 V3.2 now supports Thinking in Tool-Use — detaiapi-docs.deepseek.com/guides/thinkin…DI8T

4/n

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🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents! 🔹 D...

DeepSeek (@deepseek_ai) — Mon, 01 Dec 2025 11:19:18 GMT

🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents!

🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API.
🔹 DeepSeek-V3.2-Speciale: Pushing the boundaries of reasoning capabilities. API-only for now.

📄 Tech repohuggingface.co/deepseek-ai/De…NuG0

1/n

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⚠️ Heads-up to anyone using the DeepSeek-V3.2-Exp inference demo: earlier versions had a RoPE implem...

DeepSeek (@deepseek_ai) — Tue, 18 Nov 2025 03:00:56 GMT

⚠️ Heads-up to anyone using the DeepSeek-V3.2-Exp inference demo: earlier versions had a RoPE implementation mismatch in the indexer module that could degrade performance. Indexer RoPE expects non-interleaved input, MLA RoPE expects interleaved. Fixed in github.com/deepseek-ai/De….

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🛠 Open Source Release 🔗 Model: https://t.co/kORJG3nCWN 🔗 Tech report: https://t.co/X8Wcqbhg5a ...

DeepSeek (@deepseek_ai) — Mon, 29 Sep 2025 10:10:03 GMT

🛠 Open Source Release

🔗 Modelhuggingface.co/deepseek-ai/De…WN
🔗 Tech reporgithub.com/deepseek-ai/De…g5a
🔗 Key GPU kernels in TileLang & CUDA (use TileLang for rapid research prototyping!)

4/n

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💻 API Update 🎉 Lower costs, same access! 💰 DeepSeek API prices drop 50%+, effective immediately....

DeepSeek (@deepseek_ai) — Mon, 29 Sep 2025 10:10:02 GMT

💻 API Update

🎉 Lower costs, same access!
💰 DeepSeek API prices drop 50%+, effective immediately.

🔹 For comparison testing, V3.1-Terminus remains available via a temporary API until Oct 15th, 2025, 15:59 (UTC Time). Detaiapi-docs.deepseek.com/guides/compari…KylK
🔹 Feedback welcfeedback.deepseek.com/dsa7FDPr

3/n

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🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model! ✨ Built on V3.1-Terminus, it debu...

DeepSeek (@deepseek_ai) — Mon, 29 Sep 2025 10:10:00 GMT

🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model!

✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context.
👉 Now live on App, Web, and API.
💰 API prices cut by 50%+!

1/n

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🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus The latest update builds on V3.1’s strengths while address...

DeepSeek (@deepseek_ai) — Mon, 22 Sep 2025 13:27:43 GMT

🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus
The latest update builds on V3.1’s strengths while addressing key user feedback.

✨ What’s improved?
🌐 Language consistency: fewer CN/EN mix-ups & no more random chars.
🤖 Agent upgrades: stronger Code Agent & Search Agent performance.

1/2

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Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀 🧠 Hybrid inference: Think & Non...

DeepSeek (@deepseek_ai) — Thu, 21 Aug 2025 06:33:07 GMT

Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀

🧠 Hybrid inference: Think & Non-Think — one model, two modes
⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528
🛠️ Stronger agent skills: Post-training boosts tool use and multi-step agent tasks

Try it now — toggle Think/Non-Think via the "DeepThink" buttochat.deepseek.comEz2

1/5

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🚀 DeepSeek-R1-0528 is here! 🔹 Improved benchmark performance 🔹 Enhanced front-end capabilities ...

DeepSeek (@deepseek_ai) — Thu, 29 May 2025 12:11:19 GMT

🚀 DeepSeek-R1-0528 is here!

🔹 Improved benchmark performance
🔹 Enhanced front-end capabilities
🔹 Reduced hallucinations
🔹 Supports JSON output & function calling

✅ Try it chat.deepseek.comcbEz2
🔌 No change to API usage — docs api-docs.deepseek.com/guides/reasoni…6et35u
🔗 Open-source wehuggingface.co/deepseek-ai/De…yhHptsC

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🚀 DeepSeek-V3-0324 is out now! 🔹 Major boost in reasoning performance 🔹 Stronger front-end devel...

DeepSeek (@deepseek_ai) — Tue, 25 Mar 2025 13:32:43 GMT

🚀 DeepSeek-V3-0324 is out now!

🔹 Major boost in reasoning performance
🔹 Stronger front-end development skills
🔹 Smarter tool-use capabilities

✅ For non-complex reasoning tasks, we recommend using V3 — just turn off “DeepThink”
🔌 API usage remains unchanged
📜 Models are now released under the MIT License, just like DeepSeek-R1!
🔗 Open-source wehuggingface.co/deepseek-ai/De…MLhfngk

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🚀 Day 6 of #OpenSourceWeek: One More Thing – DeepSeek-V3/R1 Inference System Overview Optimized th...

DeepSeek (@deepseek_ai) — Sat, 01 Mar 2025 04:11:25 GMT

🚀 Day 6 of#OpenSourceWeekk: One More Thing – DeepSeek-V3/R1 Inference System Overview

Optimized throughput and latency via:
🔧 Cross-node EP-powered batch scaling
🔄 Computation-communication overlap
⚖️ Load balancing

Statistics of DeepSeek's Online Service:
⚡ 73.7k/14.8k input/output tokens per second per H800 node
🚀 Cost profit margin 545%

💡 We hope this week's insights offer value to the community and contribute to our shared AGI goals.
📖 Deep bit.ly/4ihZUiO3mCxF5

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🚀 Day 5 of #OpenSourceWeek: 3FS, Thruster for All DeepSeek Data Access Fire-Flyer File System (3FS...

DeepSeek (@deepseek_ai) — Fri, 28 Feb 2025 01:06:38 GMT

🚀 Day 5 of#OpenSourceWeekk: 3FS, Thruster for All DeepSeek Data Access

Fire-Flyer File System (3FS) - a parallel file system that utilizes the full bandwidth of modern SSDs and RDMA networks.

⚡ 6.6 TiB/s aggregate read throughput in a 180-node cluster
⚡ 3.66 TiB/min throughput on GraySort benchmark in a 25-node cluster
⚡ 40+ GiB/s peak throughput per client node for KVCache lookup
🧬 Disaggregated architecture with strong consistency semantics
✅ Training data preprocessing, dataset loading, checkpoint saving/reloading, embedding vector search & KVCache lookups for inference in V3/R1

📥 3FSgithub.com/deepseek-ai/3FS1aK
⛲ Smallpond - data processing framework on 3FSgithub.com/deepseek-ai/sm…jZK

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🚀 Day 4 of #OpenSourceWeek: Optimized Parallelism Strategies ✅ DualPipe - a bidirectional pipeline...

DeepSeek (@deepseek_ai) — Thu, 27 Feb 2025 02:05:53 GMT

🚀 Day 4 of#OpenSourceWeekk: Optimized Parallelism Strategies

✅ DualPipe - a bidirectional pipeline parallelism algorithm for computation-communication overlap in V3/R1 training.
�github.com/deepseek-ai/Du…po

✅ EPLB - an expert-parallel load balancer for V3/R1.
github.com/deepseek-ai/ep…n49

📊 Analyze computation-communication overlap in V3/R1github.com/deepseek-ai/pr…jA1Lw

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🚀 Day 3 of #OpenSourceWeek: DeepGEMM Introducing DeepGEMM - an FP8 GEMM library that supports both...

DeepSeek (@deepseek_ai) — Wed, 26 Feb 2025 01:00:48 GMT

🚀 Day 3 of#OpenSourceWeekk: DeepGEMM

Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference.

⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs
✅ No heavy dependency, as clean as a tutorial
✅ Fully Just-In-Time compiled
✅ Core logic at ~300 lines - yet outperforms expert-tuned kernels across most matrix sizes
✅ Supports dense layout and two MoE layouts

🔗 GitHubgithub.com/deepseek-ai/De…pT

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🚀 Day 2 of #OpenSourceWeek: DeepEP Excited to introduce DeepEP - the first open-source EP communic...

DeepSeek (@deepseek_ai) — Tue, 25 Feb 2025 02:24:10 GMT

🚀 Day 2 of#OpenSourceWeekk: DeepEP

Excited to introduce DeepEP - the first open-source EP communication library for MoE model training and inference.

✅ Efficient and optimized all-to-all communication
✅ Both intranode and internode support with NVLink and RDMA
✅ High-throughput kernels for training and inference prefilling
✅ Low-latency kernels for inference decoding
✅ Native FP8 dispatch support
✅ Flexible GPU resource control for computation-communication overlapping

🔗 GitHubgithub.com/deepseek-ai/De…gW

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🚀 Day 1 of #OpenSourceWeek: FlashMLA Honored to share FlashMLA - our efficient MLA decoding kernel...

DeepSeek (@deepseek_ai) — Mon, 24 Feb 2025 01:34:20 GMT

🚀 Day 1 of#OpenSourceWeekk: FlashMLA

Honored to share FlashMLA - our efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences and now in production.

✅ BF16 support
✅ Paged KV cache (block size 64)
⚡ 3000 GB/s memory-bound & 580 TFLOPS compute-bound on H800

🔗 Explore on GitHubgithub.com/deepseek-ai/Fl…X2

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🚀 Day 0: Warming up for #OpenSourceWeek! We're a tiny team @deepseek_ai exploring AGI. Starting n...

DeepSeek (@deepseek_ai) — Fri, 21 Feb 2025 04:00:55 GMT

🚀 Day 0: Warming up for#OpenSourceWeekk! 

We're a tiny team @deepseek_ai exploring AGI. Starting next week, we'll be open-sourcing 5 repos, sharing our small but sincere progress with full transparency.

These humble building blocks in our online service have been documented, deployed and battle-tested in production.

As part of the open-source community, we believe that every line shared becomes collective momentum that accelerates the journey.

Daily unlocks are coming soon. No ivory towers - just pure garage-energy and community-driven innovation.

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🚀 Introducing NSA: A Hardware-Aligned and Natively Trainable Sparse Attention mechanism for ultra-f...

DeepSeek (@deepseek_ai) — Tue, 18 Feb 2025 07:04:05 GMT

🚀 Introducing NSA: A Hardware-Aligned and Natively Trainable Sparse Attention mechanism for ultra-fast long-context training & inference!

Core components of NSA:
• Dynamic hierarchical sparse strategy
• Coarse-grained token compression
• Fine-grained token selection

💡 With optimized design for modern hardware, NSA speeds up inference while reducing pre-training costs—without compromising performance. It matches or outperforms Full Attention models on general benchmarks, long-context tasks, and instruction-based reasoning.

📖 For more details, check out our paper herarxiv.org/abs/2502.11089UV7

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🎉 Excited to see everyone’s enthusiasm for deploying DeepSeek-R1! Here are our recommended settings...

DeepSeek (@deepseek_ai) — Fri, 14 Feb 2025 08:56:47 GMT

🎉 Excited to see everyone’s enthusiasm for deploying DeepSeek-R1! Here are our recommended settings for the best experience:

• No system prompt
• Temperature: 0.6
• Official prompts for search & file upload: bit.ly/4hyH8npQ
• Guidelines to mitigate model bypass thinking:bit.ly/4gJrhkFr

The official DeepSeek deployment runs the same model as the open-source version—enjoy the full DeepSeek-R1 experience! 🚀

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