Before you even get to multi-GPU training with model parallel frameworks like #Deepspeed, you need to load the pretrained checkpoint into memory. To make matters worse for machines with multiple GPUs, you need to load the checkpoint into host memory once for each GPU in your job!
HARDWARE
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Llama2 7B Model Training Memory Requirements on Multiple GPUs
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Now training your 7B parameter #Llama2 model in float32 with 8 GPUs requires 7 * 4 * 8 = 224 GiB of host memory just to load it onto the GPUs.
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Main Problem Teams Face When Fine-tuning LLMs: Out of Memory
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What’s the #1 problem teams encounter when #finetuning an #LLM? The dreaded "Out of memory" error. No, not a CUDA OOM, just a regular host out of memory error.
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Tenstorrent’s AI chip designs secure major funding from Hyundai Samsung
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"Lead by acclaimed chip architect @jimkxa
, Tenstorrent has a track record of not only general purpose AI processor designs based on the open source #riscv architecture, but also highly-tuned, bespoke #AI chips and board level accelerators." – @Forbes https://
forbes.com/sites/davealta
villa/2023/08/02/confidence-in-ai-startup-tenstorrent-spurs-100m-funding-round-by-hyundai-and-samsung/?sh=6d1f7aeb4c5a
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RISC-V Customization Key to Silicon Ownership Strategy
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“With #riscv, customization and optimization are key. The important thing is you own the silicon, and that ownership is what customers find especially attractive.”
-CCO @DavidBennett__ on today's @HMGnewsroom and @SamsungCatalyst funding announcement -
Cloud Robots Enable Remote Operation and Skill Teaching for Everyone
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"One potential application is to deploy …robots in the cloud, allowing edge users with entry-level computers and cameras (like an iPhone or PC) to teleoperate them. This could ultimately [allow anyone] to teach robots new skills."
@nvidia
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MIT Researchers Enable Physical Objects with Digital Capabilities
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"The long-term vision here really is to give those physical objects the same capabilities as we have in digital." MIT professor Stefanie Mueller on her group's novel interactive systems & fabrication techniques that enable customizable physical objects: https://
bit.ly/3DBUBZ7 -
GPU vs LPU: Live Demo Comparison Next Tuesday
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What's the difference between a Graphics Processing Unit (GPU) and a @GroqInc Language Processing Unit™ (LPU™)? Rather than explain it, we figure we could just show you a demo. Join us next Tuesday, live, to see! http://
groq.link/gsaugust -
Hardware-Software Co-design for Edge AI Optimization
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Harmonising algorithms with hardware is crucial for edge devices with limited computing power. Bram Verhoef, explains in @WevolverApp report how combining hardware and software design can solve such a challenge effectively. https://t.co/lNncVYUpH8 pic.twitter.com/l1ZnAmC3q8
— Axelera AI (@AxeleraAI) 2 août 2023Harmonising algorithms with hardware is crucial for edge devices with limited computing power. Bram Verhoef, explains in @WevolverApp report how combining hardware and software design can solve such a challenge effectively. https://
go.axelera.ai/EdgeAIReport -
Running Deep Learning Models on M1 Mac mini
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I wonder if it'll still work if you start running deep learning models or an LLM on this M1 Mac mini.