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jeffra merged 3 commits into from
Feb 23, 2023
Merged

AutoTP tutorial web formatting and news #2883

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60712cc
Tutorial table compatible web formwat again?
molly-smith Feb 23, 2023
3729a9f
update web latest news
molly-smith Feb 23, 2023
7ffb348
Merge branch 'master' into mosm/atp_tutorial
jeffra Feb 23, 2023
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20 changes: 10 additions & 10 deletions docs/_tutorials/automatic-tensor-parallelism.md
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Expand Up @@ -88,18 +88,18 @@ deepspeed --num_gpus <num_gpus> DeepSpeedExamples/inference/huggingface/text-gen
The following results were collected using V100 SXM2 32GB GPUs.

### Max New Tokens = 50
| Test | Memory Allocated per GPU | Max Batch Size | Max Throughput per GPU |
|----------|--------------------------|----------------|------------------------|
| No TP | 23.94 GB | 64 | 18.84 TFlops |
| 2 GPU TP | 12.23 GB | 320 | 27.17 TFlops |
| 4 GPU TP | 6.36 GB | 664 | 27.63 TFlops |
| Test | Memory Allocated per GPU | Max Batch Size | Max Throughput per GPU |
| ---------- | -------------------------- | ---------------- | ------------------------ |
| No TP | 23.94 GB | 64 | 18.84 TFlops |
| 2 GPU TP | 12.23 GB | 320 | 27.17 TFlops |
| 4 GPU TP | 6.36 GB | 664 | 27.63 TFlops |

### Max New Tokens = 1024
| Test | Memory Allocated per GPU | Max Batch Size | Max Throughput per GPU |
|----------|--------------------------|----------------|------------------------|
| No TP | 23.94 GB | 2 | 1.65 TFlops |
| 2 GPU TP | 12.23 GB | 20 | 4.61 TFlops |
| 4 GPU TP | 6.36 GB | 56 | 4.90 TFlops |
| Test | Memory Allocated per GPU | Max Batch Size | Max Throughput per GPU |
| ---------- | -------------------------- | ---------------- | ------------------------ |
| No TP | 23.94 GB | 2 | 1.65 TFlops |
| 2 GPU TP | 12.23 GB | 20 | 4.61 TFlops |
| 4 GPU TP | 6.36 GB | 56 | 4.90 TFlops |

# Supported Models

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1 change: 1 addition & 0 deletions docs/index.md
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Expand Up @@ -7,6 +7,7 @@ title: "Latest News"
---
<b> DeepSpeed trained the world's most powerful language models ([MT-530B](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/), [BLOOM](https://huggingface.co/blog/bloom-megatron-deepspeed)); [learn how](https://www.deepspeed.ai/tutorials/large-models-w-deepspeed/).</b>

* [2023/02] [Automatic Tensor Parallelism: Enables tensor parallelism by default without providing an injection policy](https://www.deepspeed.ai/tutorials/automatic-tensor-parallelism/)
* [2022/12] [DeepSpeed Data Efficiency: A composable library that makes better use of data, increases training efficiency, and improves model quality](https://www.deepspeed.ai/2022/12/11/data-efficiency.html)
* [2022/11] [Stable Diffusion Image Generation under 1 second w. DeepSpeed MII](https://github.com/microsoft/DeepSpeed-MII/tree/main/examples/benchmark/txt2img)
* [2022/10] [DeepSpeed-MII: instant speedup on 24,000+ open-source DL models with up to 40x cheaper inference](https://www.deepspeed.ai/2022/10/10/mii.html)
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