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
AI HARDWARE
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DeepSeek-V4-Pro Performance Benchmarks on NVIDIA Blackwell
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Google Cloud Next Unveils TPUs, Gemini Enterprise Agent Platform
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Our teams have been busyyy! Here are some key updates from the past week: — @GoogleCloud unveiled a suite of AI innovations at our Cloud Next event, including our eighth generation TPUs (TPUt for inference + TPUi for reasoning), Gemini Enterprise Agent Platform, Agentic Data
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DeepSeek V4 Flash runs on 4x DGX Spark cluster with Codex Cli
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DeepSeek V4 Flash is now running on 4x DGX Spark / GB10 cluster Had to patch several things in vLLM to get it up w/ PyTorch fallbacks Targeted kernel optimization is next up P.S. Codex Cli w/ GPT-5.5 XHIGH handled the whole thing on its own, now we optimize those GB10 kernels x.com/TheAhmadOsman/…
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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 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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Bulletproof AI systems integrated into future battlefield operations
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Once bullet and blast proof and genuinely working them into 2030s battle front lines https://t.co/ymOBKiQVYg
— AI (@DeepLearn007) 24 avril 2026Once bullet and blast proof and genuinely working them into 2030s battle front lines
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Compute Wars Intensifying: The Race for Computing Supremacy
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Compute wars intensifying. What a time to be alive haha.
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Alphabet invests $40B in Anthropic AI development
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Intelligence is too important not to win. That's why Alphabet (Google's parent co) will invest an additional $40 billion in @AnthropicAI
. It will also provide Anthropic with at least 5 GW of computing power. (Anthropic is severely compute-constrained; there is more demand for -
Chip Companies Rely on Billion-Dollar Paper Promises for Growth
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We’ve seen a pattern now of chip companies being boosted by singular deals projecting tens of billions years into the future. I’m not saying it won’t happen, but a lot is riding on paper promises. Such is the case with foundry potential for Intel thanks to Elon Musk’s “Terafab”
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World Engine: Synthetic Edge Cases for Autonomous Driving Training
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What if you could train a self-driving car on its hardest moments, not just its longest drives? OpenDriveLab, Huawei, NVIDIA & others present World Engine. Instead of just adding more miles of normal data, it generates massive volumes of synthetic edge cases—like cut-ins and