diff --git a/snippets/serverless-gpu-pricing-table.mdx b/snippets/serverless-gpu-pricing-table.mdx
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--- a/snippets/serverless-gpu-pricing-table.mdx
+++ b/snippets/serverless-gpu-pricing-table.mdx
@@ -1,11 +1,11 @@
-| **GPU type(s)** | **Memory** | **Flex cost per second** | **Active cost per second** | **Description** |
-| --- | --- | --- | --- | --- |
-| A4000, A4500, RTX 4000 | 16 GB | $0.00016 | $0.00011 | The most cost-effective for small models. |
-| 4090 PRO | 24 GB | $0.00031 | $0.00021 | Extreme throughput for small-to-medium models. |
-| L4, A5000, 3090 | 24 GB | $0.00019 | $0.00013 | Great for small-to-medium sized inference workloads. |
-| L40, L40S, 6000 Ada PRO | 48 GB | $0.00053 | $0.00037 | Extreme inference throughput on LLMs like Llama 3 7B. |
-| A6000, A40 | 48 GB | $0.00034 | $0.00024 | A cost-effective option for running big models. |
-| H100 PRO | 80 GB | $0.00116 | $0.00093 | Extreme throughput for big models. |
-| A100 | 80 GB | $0.00076 | $0.00060 | High throughput GPU, yet still very cost-effective. |
-| H200 PRO | 141 GB | $0.00155 | $0.00124 | Extreme throughput for huge models. |
-| B200 | 180 GB | $0.00240 | $0.00190 | Maximum throughput for huge models. |
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+| **GPU type(s)** | **Memory** | **Cost per second** | **Description** |
+| --- | --- | --- | --- |
+| A4000, A4500, RTX 4000 | 16 GB | $0.00016 | The most cost-effective for small models. |
+| 4090 PRO | 24 GB | $0.00031 | Extreme throughput for small-to-medium models. |
+| L4, A5000, 3090 | 24 GB | $0.00019 | Great for small-to-medium sized inference workloads. |
+| L40, L40S, 6000 Ada PRO | 48 GB | $0.00053 | Extreme inference throughput on LLMs like Llama 3 7B. |
+| A6000, A40 | 48 GB | $0.00034 | A cost-effective option for running big models. |
+| H100 PRO | 80 GB | $0.00116 | Extreme throughput for big models. |
+| A100 | 80 GB | $0.00076 | High throughput GPU, yet still very cost-effective. |
+| H200 PRO | 141 GB | $0.00155 | Extreme throughput for huge models. |
+| B200 | 180 GB | $0.00240 | Maximum throughput for huge models. |
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