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Appease markdownlint.
Signed-off-by: Kurt Garloff <kurt@garloff.de>
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Standards/scs-0100-w1-flavor-naming-implementation-testing.md

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@@ -98,14 +98,14 @@ No MIG support, 128 Cuda Cores and 4 Tensor Cores per SM.
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| L40G | 568 | 18176 | 142 | 48G GDDR6 | `GNl-142h-48` |
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| L40S | 568 | 18176 | 142 | 48G GDDR6 | `GNl-142hh-48` |
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| Nvidia GPU | Tensor C | Cuda Cores | SMs | VRAM | SCS name piece |
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|--------------|----------|------------|-----|-----------|----------------|
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| RTX2000 Ada | 88 | 2816 | 22 | 16G GDDR6 | `GNl-22-16` |
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| RTX4000 Ada | 192 | 6144 | 48 | 20G GDDR6 | `GNl-48-20` |
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| RTX4500 Ada | 240 | 7680 | 60 | 24G GDDR6 | `GNl-60-24` |
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| RTX5000 Ada | 400 | 12800 | 100 | 32G GDDR6 | `GNl-100-32` |
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| RTX5880 Ada | 440 | 14080 | 110 | 48G GDDR6 | `GNl-110-48` |
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| RTX6000 Ada | 568 | 18176 | 142 | 48G GDDR6 | `GNl-142-48` |
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| Nvidia GPU | Tensor C | Cuda Cores | SMs | VRAM | SCS name piece |
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|-------------|----------|------------|-----|-----------|----------------|
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| RTX2000 Ada | 88 | 2816 | 22 | 16G GDDR6 | `GNl-22-16` |
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| RTX4000 Ada | 192 | 6144 | 48 | 20G GDDR6 | `GNl-48-20` |
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| RTX4500 Ada | 240 | 7680 | 60 | 24G GDDR6 | `GNl-60-24` |
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| RTX5000 Ada | 400 | 12800 | 100 | 32G GDDR6 | `GNl-100-32` |
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| RTX5880 Ada | 440 | 14080 | 110 | 48G GDDR6 | `GNl-110-48` |
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| RTX6000 Ada | 568 | 18176 | 142 | 48G GDDR6 | `GNl-142-48` |
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##### Grace Hopper (`g`)
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| RTX Pro6000 Blackwell | 1/2 | 376 | 13032 | 94 | 48G GDDR7 | `GNb-94-48` |
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| RTX Pro6000 Blackwell | 1/4 | 188 | 6516 | 47 | 24G GDDR7 | `GNb-47-24` |
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#### AMD Radeon (`A`)
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##### CDNA 2 (`2`)
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| Inst MI355X | 1024 | 16384 | 256 | 288G HBM3e | `GA4-256h-288h` |
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The Instinct MI355X has a higher watttage and thus slightly higher clocks
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than the MI350X but is otherwise identical -- we can thus use the `h` modifier
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than the MI350X but is otherwise identical - we can thus use the `h` modifier
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to identify the higher performance version.
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##### Workstation RDNA 3 (`3.1`) and 4 (`4.1`)
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#### Consumer cards
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Note that we don't recommend using consumer cards.
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Note that we don't recommend using consumer cards.
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That said, the schema allows to specify them and for example do PCI pass-through
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of Nvidia RTX4080S (`GNl-80-16`), RTX4090 (`GNl-128-24`), RTX5080S (`GNb-84-24`),
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of Nvidia RTX4080S (`GNl-80-16`), RTX4090 (`GNl-128-24`), RTX5080S (`GNb-84-24`),
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RTX5090 (`GNb-170-32`), or AMD Radeon RX7900XTX (`GA3.1-96-24`).
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## Automated tests
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The following testcases [are implemented](https://github.com/SovereignCloudStack/standards/tree/main/Tests/iaas/openstack_test.py):

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