Day 0 performance is here: DeepSeek-V4-Pro running on NVIDIA Blackwell Ultra. Using @vllm_project
's Day 0 recipe, we’ve captured the initial performance Pareto for DeepSeek’s flagship 1M long-context model. This curve highlights the baseline for balancing AI factory
@nvidiaai
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DeepSeek-V4-Pro Performance Benchmarks on NVIDIA Blackwell
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DeepSeek-V4-Pro 1.6T Model Now Available on NVIDIA Blackwell
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Happy Friday!
— NVIDIA AI (@NVIDIAAI) 24 avril 2026
We just put DeepSeek-V4-Pro up on https://t.co/es07MrTxSs. It’s the world’s largest open source model at 1.6T parameters, and you can run it for free running on NVIDIA Blackwell GPUs.
Try the NVIDIA NIM API → https://t.co/zeWX4Y7Ipd pic.twitter.com/lNFsziIts4Happy Friday! We just put DeepSeek-V4-Pro up on http://
build.nvidia.com. It’s the world’s largest open source model at 1.6T parameters, and you can run it for free running on NVIDIA Blackwell GPUs. Try the NVIDIA NIM API → https://
build.nvidia.com/deepseek-ai/de
epseek-v4-pro?ncid=so-twit-300913
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DeepSeek V4 Pro Flash Day-0 vLLM Support Long-Context
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Day-0 support for @deepseek_ai V4 Pro and Flash on vLLM — a new generation of DeepSeek model, purpose-built for tasks up to 1M tokens. Alongside the release, we're publishing a first-principles walkthrough of the new long-context attention and how we implemented it in vLLM. x.com/deepseek_ai/st…
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DeepSeek V4 Launch with SGLang Optimizations and RL Pipeline
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DeepSeek V4 by @deepseek_ai just dropped! SGLang is ready on Day 0 with a full stack of optimizations from architectures to low-level kernels. We also deliver a verified RL training pipeline in Miles (by @radixark) for V4 at launch: Native "ShadowRadix" Design: DeepSeek V4's
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DeepSeek-V4 Million-Token Context LLM Agentic Workflows
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DeepSeek-V4 is here — a million-token context, 1.6T parameter powerhouse optimized for agentic workflows. Out of the box, on DeepSeek-V4-Pro, NVIDIA Blackwell Ultra delivers over 150 TPS/user interactivity for agentic workflows. And we’re just getting started. Expect these
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NVIDIA Advances Codex and GPT-5.5 Development at HQ
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Codex + GPT-5.5 is moving fast here at NVIDIA HQ.
— NVIDIA AI (@NVIDIAAI) 23 avril 2026
We’ve even got our own Codex Lab for NVIDIANs to get started. https://t.co/PTqytJWp0f pic.twitter.com/zWnSnKfansCodex + GPT-5.5 is moving fast here at NVIDIA HQ. We’ve even got our own Codex Lab for NVIDIANs to get started.
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OpenAI Launches GPT-5.5 with Advanced Agentic Coding Capabilities
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Massive congrats to the team at @OpenAI 💚
— NVIDIA AI (@NVIDIAAI) 23 avril 2026
Moving the frontier forward isn’t easy, and GPT-5.5 does exactly that, with impressive performance across agentic coding, research tasks, and beyond. https://t.co/mGkM3VcPzqMassive congrats to the team at @OpenAI Moving the frontier forward isn’t easy, and GPT-5.5 does exactly that, with impressive performance across agentic coding, research tasks, and beyond.
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Agentic AI Transforms Brand Marketing with Creative Agents
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The future of brand marketing is agentic.
— NVIDIA AI (@NVIDIAAI) 22 avril 2026
We’re collaborating with @Adobe and @WPP on creative agents that deliver tailored, always-on content. Powered NVIDIA Nemotron and OpenShell for building and running secure agentic AI systems.
Read 👇 https://t.co/n7NFkaus9PThe future of brand marketing is agentic. We’re collaborating with @Adobe and @WPP on creative agents that deliver tailored, always-on content. Powered NVIDIA Nemotron and OpenShell for building and running secure agentic AI systems. Read
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NVIDIA NeMo RL Accelerates Agentic Performance with FP8
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Improve agentic performance with accurate RL post-training on low-precision FP8. NVIDIA NeMo RL, an open-source library within NVIDIA NeMo, supports FP8 to speed up RL workloads by 1.48x on Qwen3-8B-Base—enabling faster iterations for agentic tool use and multi-step