feat(gpu): update wording

Author: bene2k1

faq/instances.mdx

@@ -148,10 +148,10 @@ You can change the storage type and flexible IP after the Instance creation, whi
 
 | Range             | Available in           | Price             |
 |-------------------|------------------------|-------------------|
-| H100-SXM-1-80G    | TBD                    | €X.XX/hour¹       |
-| H100-SXM-2-80G    | TBD                    | €X.XX/hour¹       |
-| H100-SXM-4-80G    | TBD                    | €X.XX/hour¹       |
-| H100-SXM-8-80G    | TBD                    | €X.XX/hour¹       |
+| H100-SXM-1-80G    | PAR2                   | €X.XX/hour¹       |
+| H100-SXM-2-80G    | PAR2                   | €X.XX/hour¹       |
+| H100-SXM-4-80G    | PAR2                   | €X.XX/hour¹       |
+| H100-SXM-8-80G    | PAR2                   | €X.XX/hour¹       |
 | H100-1-80G        | PAR2, WAW2             | €2.52/hour¹       |
 | H100-2-80G        | PAR2, WAW2             | €5.04/hour¹       |
 | L40S-1-48G        | PAR2                   | €1.40/hour¹       |

pages/account/reference-content/products-availability.mdx

@@ -24,6 +24,8 @@ Scaleway products are available in multiple regions and locations worldwide. Thi
 | Product Category          | Product                               | Paris region           | Amsterdam region        | Warsaw region          |
 |---------------------------|---------------------------------------|------------------------|-------------------------|------------------------|
 | **Compute**               | Instances                             | PAR1, PAR2, PAR3       | AMS1, AMS2, AMS3        | WAW1, WAW2, WAW3       |
+|                           | GPU H100-SXM-X-80G                    | PAR2                   | Not available yet       | Not available yet      |
+|                           | GPU H100-X-80G                        | PAR2                   | Not available yet       | WAW2                   |
 |                           | GPU H100-X-80G                        | PAR2                   | Not available yet       | WAW2                   |
 |                           | GPU H100-SXM (multi GPUs)             | TBD                    | TBD                     | TBD                    |
 |                           | GPU L40S-X-48G                        | PAR2                   | Not available yet       | Not available yet      |

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

@@ -22,7 +22,7 @@ NVLink provides up to 900 GB/s total bandwidth for multi-GPU I/O and shared memo
 NVLink allows direct GPU-to-GPU interconnection, improving data transfer efficiency and reducing the need for CPU intervention, which can introduce bottlenecks.
 
 NVLink supports the connection of multiple GPUs, enabling the creation of powerful multi-GPU systems capable of handling more complex and demanding workloads.
-With Unified Memory Access, NVLink enables direct memory access between GPUs without CPU mediation, enhancing efficiency in large-scale AI and HPC workloads.
+Unified Memory Access allows GPUs to access each other's memory directly without CPU mediation, which is particularly beneficial for large-scale AI and HPC workloads.
 
 ### Comparison: NVLink vs. PCIe
 NVLink and PCI Express (PCIe) are both used for GPU communication, but NVLink is specifically designed to address the bandwidth and latency bottlenecks of PCIe in multi-GPU setups.
@@ -37,6 +37,4 @@ NVLink and PCI Express (PCIe) are both used for GPU communication, but NVLink is
 | **Scalability**   | Multi-GPU direct connection via NVSwitch | Limited by PCIe lanes             |
 | **Efficiency**    | Optimized for GPU workloads | More general-purpose               |
 
-**Unified Memory Access** allows GPUs to access each other's memory directly without CPU mediation, which is particularly beneficial for large-scale AI and HPC workloads.
-
-In summary, NVLink, available on [H100-SGX Instances](/gpu/reference-content/choosing-gpu-instance-type/#gpu-instances-and-ai-supercomputer-comparison-table), is **superior** for **multi-GPU AI and HPC** workloads due to its **higher bandwidth, lower latency, and memory-sharing capabilities**, while **PCIe remains essential** for broader system connectivity and general computing.
+In summary, NVLink, available on [H100-SGX Instances](/gpu/reference-content/choosing-gpu-instance-type/#gpu-instances-and-ai-supercomputer-comparison-table), is **superior** for **multi-GPU AI and HPC** workloads due to its **higher bandwidth, lower latency, and memory-sharing capabilities**, while PCIe remains essential for broader system connectivity and general computing.