Project Banana
404wolf.comยท2d
๐ŸŒDistributed Computing
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Rubin, Vera and the 1800-watt question: Nvidia shows off its future and prepares for the next AI storm
igorslab.deยท4d
โฑ๏ธCUDA Events
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Autark: Rethinking build systems โ€“ Integrate, Don't Outsource
blog.annapurna.ccยท8hยท
Discuss: Hacker News
๐Ÿ—๏ธBuild Systems
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The next RISC-V processor frontier: AI
edn.comยท4dยท
Discuss: Hacker News
๐Ÿง CPU Architecture
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Why Your AI Agent Keeps Failing in Production (And How to Fix It)
pub.towardsai.netยท2d
๐Ÿค–AI Coding Tools
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GPU Pro โ€“ Master Your AI Workflow
github.comยท2dยท
๐Ÿ”Nsight
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
dev.toยท6hยท
Discuss: DEV
๐Ÿ“ŠGradient Accumulation
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Hybrid Quantum-Classical Optimization of the Resource Scheduling Problem
arxiv.orgยท19h
๐Ÿ“ˆOccupancy Optimization
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We hit some annoying gaps with ResourceQuota + GPUs, so HAMi does its own quota pass
reddit.comยท12hยท
Discuss: r/kubernetes
๐Ÿ“ˆGPU Occupancy
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Reevaluating Self-Consistency Scaling in Multi-Agent Systems
arxiv.orgยท19h
โšกONNX Runtime
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Cisco unveils Unified Edge platform for real-time AI workloads
zawya.comยท16h
๐Ÿ”—NCCL
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.toยท1dยท
Discuss: DEV
๐Ÿ”„ONNX
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Event-Driven State Management with NgRx Signal Store
dev.toยท1dยท
Discuss: DEV
โฑ๏ธCUDA Events
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What will the OpenAI AWS cloud computing deal change?
dev.toยท20hยท
Discuss: DEV
โฑ๏ธCUDA Events
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.orgยท19h
๐Ÿ‘๏ธAttention Optimization
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RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
arxiv.orgยท19h
๐Ÿค–AI Coding Tools
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Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes
github.comยท1hยท
Discuss: Hacker News
๐ŸŽ๏ธTensorRT
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Amazon Secures $38 Billion Deal to Host OpenAI's NVIDIA GB200/GB300 AI Servers
techpowerup.comยท1d
๐Ÿ”—NCCL
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The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment
shaped.aiยท2d
๐Ÿš€MLOps
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