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Co-authored-by: Jessica <[email protected]>

Author: bene2k1

pages/gpu/reference-content/choosing-gpu-instance-type.mdx

@@ -78,7 +78,7 @@ Remember that there is no one-size-fits-all answer, and the right GPU Instance t
 | Bandwidth                                                          | 20 Gbps                                                           | 20 Gbps                                                           | 20 Gbps                                                           |
 | Network technology                                                 | [NVLink](/gpu/reference-content/understanding-nvidia-nvlink/)     | [NVLink](/gpu/reference-content/understanding-nvidia-nvlink/)     | [NVLink](/gpu/reference-content/understanding-nvidia-nvlink/)     |
 | Better used for                                                    | LLM fine-tuning, LLM inference with lower quantization and/or larger parameter counts, fast computer vision training model training   | LLM fine-tuning, LLM inference with lower quantization and/or larger parameter counts, fast computer vision training model training   | Llama 4 or Deepseek R1 inference                                                   |
-| What they are not made for                                         | Training of LLM (single node), Graphic or video encoding use cases | Training of LLM (single node), Graphic or video encoding use cases | Training of LLM (single node), Graphic or video encoding use cases |
+| What they are not made for                                         | Training of LLM (single node), graphic or video encoding use cases | Training of LLM (single node), Graphic or video encoding use cases | Training of LLM (single node), graphic or video encoding use cases |
 
 |                                                                    | **[L4-1-24G](https://www.scaleway.com/en/l4-gpu-instance/)**                                                 | **[L4-2-24G](https://www.scaleway.com/en/l4-gpu-instance/)**                                                 | **[L4-4-24G](https://www.scaleway.com/en/l4-gpu-instance/)**                                                 | **[L4-8-24G](https://www.scaleway.com/en/l4-gpu-instance/)**                                                 |
 |---------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|

pages/gpu/reference-content/understanding-nvidia-fp8.mdx

@@ -13,7 +13,7 @@ categories:
   - compute
 ---
 
-Scaleway offers GPU Instances featuring [L4, L40S, H100 and H100-SXM GPUs](/gpu/reference-content/choosing-gpu-instance-type/) that support FP8 (8-bit floating point), a revolutionary datatype introduced by NVIDIA. It enables higher throughput of matrix multipliers and convolutions.
+Scaleway offers GPU Instances featuring [L4, L40S, H100, and H100-SXM GPUs](/gpu/reference-content/choosing-gpu-instance-type/) that support FP8 (8-bit floating point), a revolutionary datatype introduced by NVIDIA. It enables higher throughput of matrix multipliers and convolutions.
 
 FP8 is an 8-bit floating point standard which was jointly developed by NVIDIA, ARM, and Intel to speed up AI development by improving memory efficiency during AI training and inference processes.