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chore(gpu): add sxm5 vm target

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This commit is contained in:
Agnes Leroy
2024-12-12 17:18:51 +01:00
committed by Agnès Leroy
parent 805436839d
commit 4388a3dc99
3 changed files with 9 additions and 0 deletions
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2
.github/workflows/benchmark_gpu_erc20.yml vendored
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@@ -13,6 +13,8 @@ on:
- "single-h100 (n3-H100x1)"
- "2-h100 (n3-H100x2)"
- "multi-h100 (n3-H100x8)"
- "multi-h100-nvlink (n3-H100x8-NVLink)"
- "multi-h100-sxm5 (n3-H100x8-SXM5)"
jobs:
parse-inputs:

1
.github/workflows/benchmark_gpu_integer.yml vendored
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@@ -15,6 +15,7 @@ on:
- "4-h100 (n3-H100x4)"
- "multi-h100 (n3-H100x8)"
- "multi-h100-nvlink (n3-H100x8-NVLink)"
- "multi-h100-sxm5 (n3-H100x8-SXM5)"
- "multi-a100-nvlink (n3-A100x8-NVLink)"
command:
description: "Benchmark command to run"

6
ci/slab.toml
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@@ -58,6 +58,12 @@ environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
flavor_name = "n3-H100x8-NVLink"
[backend.hyperstack.multi-h100-sxm5]
environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
flavor_name = "n3-H100-SXM5x8"
[backend.hyperstack.multi-a100-nvlink]
environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"