𝗠ulti-dimensional performance Optimal Inference is a trade-off: accuracy, latency, and cost. Some tasks need ultra-low latency (real-time translation), while others prioritize throughput (multi-million-token queries). The NVIDIA Inference Platform accelerates models
COMPUTING
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Enterprise AI Infrastructure Scaling for Large Model Inference
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𝗦cale and complexity Bigger models = greater inference. From quick queries to million-token reasoning, infra demands during inference are soaring. Enterprises are building new AI factories with partners like @CoreWeave
, @Dell
, @googlecloud and more. -
DeepSeek v3.1 Uses UE8M0 FP8 Logarithmic Training Format
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It is interesting that the new @deepseek_ai v3.1 is trained using the UE8M0 FP8 scale data format which is logarithmic number system. Our multiplicative weights update (Madam) for training in that format was done several years ago while at @nvidia It yields maximum hardware
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MIT’s Classic Programming Textbook Free Online Access
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One of the most influential programming textbooks was first published as a paperback 40 years ago today: MIT's "Structure and Interpretation of Computer Programs." Read it for free here: https://
rb.gy/5hvui -
Metis AIPU balenaOS Integration Edge AI Computer Vision
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Devs & engineers: Integrating Metis AIPU w/ balenaOS for edge AI? We tested it. Works great for CV/LLMs! Share your projects, ask Qs on setup, or ideas for your use case. Let's innovate! Details: https://
eu1.hubs.ly/H0mt-QK0 #EdgeAI #BalenaOS #AI -
Efficient GPU Deployment with User-Controlled Token Budget
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It’s practical for private deployments on <2 GPUs. Customers can optimize compute usage through a user-controlled token budget, offering fine-grained control over latency and performance for your applications.
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Voyager SDK Enables Runtime Model Swapping Edge AI Pipelines
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Voyager SDK does more than simplify AI pipelines. It lets you hot-swap models + streams at runtime with zero restarts. Modular AI pipelines at the edge? Fully real. https://
eu1.hubs.ly/H0mp03L0
#EdgeAI #AIInfra #VoyagerSDK -
Frugal AI as innovation lever reducing energy footprint
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𝐋𝐞ç𝐨𝐧 𝟳 – 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝟮 𝗠𝗶𝘀𝗲𝘇 𝘀𝘂𝗿 𝗹’𝗜𝗔 𝗳𝗿𝘂𝗴𝗮𝗹𝗲 Et si réduire l’empreinte IA devenait le meilleur levier d’innovation ?
On pourrait croire que limiter la consommation énergétique freinerait la puissance technologique, mais en réalité, c’est tout le -
Neuroscience Theory Bottleneck Beyond Computational Power
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We can, but unfortunately the neuroscience does not pan out. Computation is not the bottleneck, modeling/theory is
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Signal Processing Powers Efficient Edge AI Pipelines
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Today marks #NationalRadioDay! But signal processing isn’t just for radios. It underpins much of edge AI too. Interested in low-latency, efficient AI pipelines? Dive into Voyager SDK: https://
eu1.hubs.ly/H0mnY9c0 #AI #EdgeComputing