Burla

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Burla

Burla

@Burla_dev

Scale Python to 10,000 VM's with one line of code: https://t.co/gEyAjO2qgc

Boston เข้าร่วม Ağustos 2023
40 กำลังติดตาม15 ผู้ติดตาม
Burla รีทวีตแล้ว
Joseph Perry
Joseph Perry@infra_scale_5·
@sundeep court says it's fair use? cool. i just built a 4K cpu cluster using @Burla_dev to screenshot academia into dust.
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Joseph Perry
Joseph Perry@infra_scale_5·
@TheTranscript_ the accelerated demand for compute will really start when people are running 10 thousands parallel AI agents using @Burla_dev
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The Transcript
The Transcript@TheTranscript_·
$NVDA CEO: "AI inference token generation has surged tenfold in just one year, and as AI agents become mainstream, the demand for AI computing will accelerate."
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Burla
Burla@Burla_dev·
Introducing Burla: From laptop to 10,000 VMs in one line of code.
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Burla
Burla@Burla_dev·
@daisuke and thank you for your interest in burla. excited to get the beta in your hands very soon...
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Burla
Burla@Burla_dev·
@singh__medhavi Burla is the world's simplest cluster compute software. With zero setup, and just one line of code, Burla scales your python programs to thousands of computers in the cloud.
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Medhavi
Medhavi@medhaviiiyaaar·
Drop any startup ideas you have or something you are working on 👀
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Burla
Burla@Burla_dev·
@imakash_skyy Burla is the world's simplest cluster compute software. With zero setup, and just one line of code, Burla scales your python programs to thousands of computers in the cloud.
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Burla
Burla@Burla_dev·
@siyabuilt Burla is the world's simplest cluster compute software. Scale across thousands of computers in the cloud, with zero setup, and just one line of code.
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Siya
Siya@siyabuilt·
Drop your startups domain I'll give you 1 idea To grow your product
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elvis
elvis@omarsar0·
Batch Prompting: Efficient Inference with LLM APIs Batch prompting helps to reduce the inference token and time costs while achieving better or comparable performance. Love to find these neat little tricks on efficiency gains during inference with LLMs. arxiv.org/abs/2301.08721
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Burla
Burla@Burla_dev·
@WenhuChen If your students need any help scaling their code, just let me know! Here in Boston, I've been seeing tons of PhDs and researchers training on only a small fraction of their data because of campus resource competition. Thought I'd mention in case it's helpful for your situation!
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Wenhu Chen
Wenhu Chen@WenhuChen·
Working on LLMs is really stressing. I have seen my research ideas being scooped almost on a weekly basis 🥲.
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Burla รีทวีตแล้ว
StartupStage
StartupStage@startup_stage·
New Startup Listed 🚀 Burla Cluster compute software for python beginners Vote for them below 👇 startupstage.app/startups/burla
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PyQuant News 🐍
PyQuant News 🐍@pyquantnews·
Monte Carlo simulations: A way to estimate portfolio values over 1000s of price paths. Yesterday I published a step-by-step walk through of using Python to do it. You can read it free:
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Burla
Burla@Burla_dev·
@pyquantnews Are there any workloads you have that would greatly benefit from large levels of parallelism? Not a few cores but thousands of workers? I'm open-sourcing Burla in the next few weeks and want to build out some useful tutorials :)
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kache
kache@yacineMTB·
what 2024 is going to be like
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Burla
Burla@Burla_dev·
If you had 25k CPU concurrency what would you use it for? The team is trying to figure out what problems we should be building tutorials for.
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Burla
Burla@Burla_dev·
@chamath If you're seeking a serverless function for running large-scale LLM inference, give Burla a try. Here is a tutorial on massively parallelizing inference (200 GPUs) using Mistral-7B. docs.burla.dev/Example:%20Mas…
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Burla
Burla@Burla_dev·
@sundeep Lowering the entry barrier for running large machines in the cloud is crucial. Currently, we are concentrating on refining the most straightforward cloud abstraction. Any Python developer, irrespective of their skill set, should be able to effectively leverage cloud resources.
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