
NVIDIA unveils Rubin CPX (built for million-token inference)
NVIDIA announced Rubin CPX, a new class of GPU optimized for long-context AI like full-codebase reasoning and hour-long video understanding/generation. It slots into the new Vera Rubin NVL144 CPX platform aimed at massive-context inference at data-center scale.
Key specs & platform
• Up to 30 PFLOPS NVFP4 per GPU, 128GB GDDR7, and 3× faster attention vs GB300 NVL72.
• NVL144 CPX rack: 8 exaflops of AI, 100TB fast memory, 1.7 PB/s bandwidth, and ~7.5× the AI performance of GB300 NVL72 systems.
• Integrated video decode/encode + long-context inference on one chip; works with Quantum-X800 InfiniBand or Spectrum-X Ethernet (Spectrum-XGS, ConnectX-9).
Ecosystem & software
• Backed by the full NVIDIA stack: Dynamo for scaled inference throughput, Nemotron multimodal models, AI Enterprise with NIM microservices, and CUDA-X libraries.
Early partners
• Cursor (coding agents), Runway (generative video), and Magic (agentic software engineering) are exploring Rubin CPX for long-context workloads.
Availability
• Expected end of 2026. NVIDIA also floats an aggressive ROI claim tied to “token revenue” at scale; treat as forward-looking.
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• NVIDIA Blackwell Ultra sets new MLPerf inference records.
• NVIDIA Rubin CPX GPU designed for massive-context inference.
• AWS Managed tiered checkpointing on Amazon SageMaker HyperPod.
• GitHub New JFrog integration for secure, traceable builds.
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