Building/testing another batch of 5tratum Multinodes. These are modded HP’s with BTC, BCH, DGB, BC2, LTC, and DOGE full nodes and solo pools with 2ms ping and 0% pool fees. The best pool is always your own pool.

worked on spec dec for quite sometime. > working on integrating spec dec for long context tasks in sglang lib right now. > built a unified training package that scales for multinodes effortlessly using ray. > here is medusa implementation github.com/theharshithh/spec…

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How to rent a GPU on Prime Intellect: Rent GPUs in one cloud that aggregates all clouds - Start training in 30 seconds - Cheapest available GPUs worldwide - Pay per second usage model - On demand H100 & H200 multinodes Check it out: app.primeintellect.ai/

this is for multinodes training where each pods required its own accelerator and they to communicate each other follow their own topology bcs u dont want different rack do too frequent comms due to network bottleneck. This is just for big models that required parallelism

We build Encoder-Decoder Static Cache, vLLM support, lightweight continous batch, open source multimodality dataset and models, kv cache including for neuronx, multinodes with battle tested spot instances, and so much more!

1. easiest is TPU, just run and shit done, u dont feel like a multinode actually, only available GCP. 2. Nvidia, people still struggle with multinodes and after a few days, u might got nccl issues some sort like that but restart solved the problem. 3. amd, pure painful

Sad nobody covered Malaysian LLM, arxiv.org/pdf/2401.14680.pdf, we did everything end-to-end open source including multinodes training 😭

why people use slurm, why not ray? i know ray is head-worker but the workers can comm each others and multinodes training use torch distributed run under the hood, which workers vs workers, slurm is kinda annoying need to define .conf, theoretically is the same.

Thanks for Mamba @_albertgu and @tri_dao , I tried official 370M parameters on 4k context length with batch size of 5, memory usage is ~30 GB VRAM, is this expected, can checkout the issue i created at github.com/state-spaces/mamb…, I want to battle test mamba on multinodes training.

Do not fade $MCC I Repeat do not fade $MCC ⚡ #multinodes #MCC

No shame and came back to loot more people. I think $MCC team spent all previous looted money 💰. What about my #Multinodes . Shame on you all promoters and looters 😡🤬👊🏽🖐🏿

Straight from the contract: - 10% Buy/Sell Fee (5% to MultiNodes, 5% to Future Incubations) - No Sell Fees for Holders of OG MCCv1 (Set to MCCv3 for BSC and FTM) - No Buy Fees for Holders of MCCv3 - Turbo Nuke 0.1% of LP (Burn to 0x0) for True OG Holders (MCC MultiNode)

🖤AMA Series With Multinodes 🎁 Prize: 50$ BUSD 📆 Date: 10th November 2022 ⏰ Time: 2:00 PM UTC 🏨 Venue: t.me/U_S_Community 🔹 Rules: 1️⃣. Follow @U_S_Community & @multinodes 2️⃣. Like Retweet & Comment Your Best Questions.

🖤AMA Series With Multinodes 🎁 Prize: 50$ BUSD 📆 Date: 28th October 2022 ⏰ Time: 7:00 AM UTC 🏨 Venue: t.me/U_S_Community 🔹 Rules: 1️⃣. Follow @U_S_Community & @multinodes 2️⃣. Like Retweet & Comment Your Best Questions.

臨床研究のスムーズな補間と外挿を可能にするMultimodal Neural Ordinary Differential Equations (MultiNODEs) が報告されています。欠損した患者データをシュミレートでき、実際の生データなどとの比較もしています。 nature.com/articles/s41746-0…

@MulChainCapital Sir I have questions and No one reply from your side I have lost my multinodes value from 5 to 6 months i have asked questions From you but no reply I think with facility of multi system You should add multiple support system too For your users

Overcoming the barriers of sharing data to collate a representative dataset of a disease population: @BirkenbihlC et al. from @fraunhofer_scai introduce MultiNODEs, a method to generate continuous-time realistic synthetic data via #ArtificialIntelligence nature.com/articles/s41746-0…

Over $75k USD of $MCC MultiNodes have been purchased in the last week alone! 🤑💸💰🤑💸💰🤑💸💰🤑💸💰🤑💸💰 That's some serious cash in the depths of this bear and will continue to allow Mr. Capital to deploy dry capital where he sees fit

Multi-Chain Capital - Convex Harvest Strategy⚡️: * To provide LONG-TERM sustainability to the #MultiNodes rewards pool, the $MCC Treasury is harvesting all $3CRV Rewards from @ConvexFinance and Swapping them for $MCC. * Earning at ~30% vAPR, the $CVX and $CRV will compound 🔄.