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Inference

Inference

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Inference es un clúster de GPU distribuido para inferencia de LLM construido en Solana. Inference.net es una red global de centros de datos que ofrece APIs rápidas, escalables y de pago por token para modelos como DeepSeek V y Llama .. Tags: Infra AI Ecosystem(): Solana Founded:

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Bairdon on Nebius $NBIS (Outperform, $250 PT) As AI workloads transition from training to inference, Nebius has positioned itself as a full-stack provider, with strong software-attach. Our bullish thesis is based upon: 1) strong full-stack offering well positioned for inference, 2) diversifying c

@wallstengine

Launchpad space currently feels more like tons of teams fighting over scraps while the tokenized inference space feels like a wide open lane with compounding opportunities

@_proxystudio

correct, now imagine that setup but you can plug in additional sources of inference... really just a question of creating standardization for tokenization of different buckets of capacity/timeframes, but once you have that the meta-inference token becomes much more possible and can function much li

@_proxystudio

“If privacy is outlawed, only outlaws will have privacy” -Phil Zimmerman How many people in the AI world care about privacy-protecting inference or understand that the only way to get high-end confidential compute today is with open weight models? https://x.com/ramez/status/2079968862670561604

@gladsteinjul 2026

RT @AlgodTrading: @engyai went live Cheapest inference powered by @bittensor

@markjeffreyjul 2026

A drifting car is not just an object in a frame. It is motion, risk, and behavior unfolding over time. Sertn helps teams build computer vision workflows for video, from annotation and training to deployment and verifiable inference. https://t.co/tZr7xdYBiP

@inference_labsjul 2026

meta is building a competitor to OpenRouter (coming right after news openrouter might get acquired), but theres another reason meta's doing this: > no more $100Ms wasted on inference. the platform would efficiently route ai prompts to multiple different models, saving on costs and produce better an

@cryptopunk7213jul 2026

Centralized clouds process everything in a few locations. That means high latency, high cost, and single points of failure. Edge compute puts processing closer to where it's needed. YOM's distributed GPU network already does this across countries. Gaming workloads today. AI inference on the same

@yom_officialjul 2026

Nosana 🤝 ICPX @ICPXProtocol is a pay-per-job GPU compute platform for AI agents, model deploys, inference, fine-tuning and evals, giving builders a simple flow to pick a workload, pay and launch. Nosana powers ICPX end to end, running the GPUs behind every job 🙌 🔗 https://t.co/panhs98BQU

@nosana_aijul 2026

RT @quxiaoyin: Many people still confuse Chinese model with Chinese inference: - A model is like a recipe for a dish—e.g. orange chicken -…

@raboisjul 2026