www: update compute size descriptions (Compute column, vCPU units) (#49998)

## What kind of change does this PR introduce?

www update: aligns compute descriptions on the pricing surfaces with the
current compute options. Counterpart to the docs update in #49996.

Fixes PROD-654

## What is the new behavior?

- Pricing compute table: the CPU and Dedicated columns are merged into a
single Compute column — "Shared compute" for Micro–Medium, "Dedicated ·
N vCPUs" for Large and above (the `dedicated` key is removed from
`PricingAddOnTable.json`)
- Pricing calculator: the instance summary line uses the new Compute
value directly
- Pricing compute section headline: "64 cores" → "64 vCPUs"
- `/pricing.md`, `/llms-full.txt`, `/llms/pricing.txt`: generated
markdown mirrors the new table
- `/database.md`: describes the compute range as Micro to 16XL+


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

- **Pricing Updates**
- Compute pricing tables now label the column “Compute” and show shared
compute or dedicated vCPU counts.
  - Removed the separate “Dedicated” column from compute add-on tables.
- Dedicated-plan values now display consistently across desktop and
mobile layouts.
- Compute instance details no longer repeat the “CPU” label after the
CPU value.
  - Updated scaling language to refer to “64 vCPUs.”
- Simplified technical details by removing specific core-count examples
while retaining configurable sizing and autoscaling information.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
This commit is contained in:
Lukas Bernert authored and GitHub committed 2026-09-17 12:22:07 +02:00
1 parent 77ee1ec127
commit 593e95345a
6 files changed
+20 -69

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@@ -209,7 +209,7 @@ const ComputePricingCalculator = ({
<div className="w-full flex items-center gap-2">
<span className="text-lighter text-xs md:text-[13px]">
{findInstanceValueByColumn(activeInstance, 'memory')} RAM /{' '}
{findInstanceValueByColumn(activeInstance, 'cpu')} CPU / Connections: Direct{' '}
{findInstanceValueByColumn(activeInstance, 'cpu')} / Connections: Direct{' '}
{findInstanceValueByColumn(activeInstance, 'directConnections')}, Pooler{' '}
{findInstanceValueByColumn(activeInstance, 'poolerConnections')}
</span>
@@ -1,9 +1,7 @@
import pricingAddOn from '~/data/PricingAddOnTable.json'
import Link from 'next/link'
import { Fragment, useMemo } from 'react'
import { cn } from 'ui'
import pricingAddOn from '~/data/PricingAddOnTable.json'
import { IconPricingIncludedCheck, IconPricingMinus } from './PricingIcons'
const ComputePricingTable = () => {
const columnNames = useMemo(
@@ -50,13 +48,7 @@ const ComputePricingTable = () => {
className="p-3"
translate={column.key === 'pricing' ? 'no' : undefined}
>
{column.key === 'dedicated' ? (
column.value ? (
<IconPricingIncludedCheck plan="Pro Plan" />
) : (
<IconPricingMinus plan="Free Plan" />
)
) : column.url ? (
{column.url ? (
<Link
href={column.url}
className="underline text-brand hover:text-brand-600"
@@ -94,15 +86,7 @@ const ComputePricingTable = () => {
column.key === 'plan' ? 'text-brand pt-16 lg:pt-3' : ''
}`}
>
{column.key === 'dedicated' ? (
column.value ? (
<IconPricingIncludedCheck plan="Pro Plan" />
) : (
<IconPricingMinus plan="Free Plan" />
)
) : (
column.value
)}
{column.value}
</td>
</tr>
))}
@@ -124,7 +124,7 @@ const PricingComputeSection = () => {
</p>
<h3 className="text-foreground text-2xl ml-0.5 md:ml-0 mb-2 md:mb-0">
Scale compute up to
<br className="hidden sm:block" /> 64 cores and 256 GB RAM
<br className="hidden sm:block" /> 64 vCPUs and 256 GB RAM
</h3>
</div>
+1 -1
View File
@@ -25,7 +25,7 @@ Supabase Database gives you a full Postgres database with no compromises. It is
- Connection: direct Postgres connections (connection string), connection pooling via PgBouncer (Supavisor)
- Client libraries: JavaScript, Python, Dart (Flutter), Swift, Kotlin, C#
- Backups: automatic daily backups, Point-in-Time Recovery available as add-on
- Compute: configurable from Micro (2-core ARM) to 16XL+ (64-core ARM and above), with autoscaling options
- Compute: configurable from Micro to 16XL+, with autoscaling options
## Links
+11 -22
View File
@@ -12,8 +12,7 @@
"columns": [
{ "key": "plan", "title": "Compute Size", "value": "Micro" },
{ "key": "pricing", "title": "Price USD", "value": "$10" },
{ "key": "cpu", "title": "CPU", "value": "2-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": false },
{ "key": "cpu", "title": "Compute", "value": "Shared compute" },
{ "key": "memory", "title": "Memory", "value": "1 GB" },
{
"key": "directConnections",
@@ -31,8 +30,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "Small" },
{ "key": "pricing", "title": "Price USD", "value": "$15" },
{ "key": "cpu", "title": "CPU", "value": "2-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": false },
{ "key": "cpu", "title": "Compute", "value": "Shared compute" },
{ "key": "memory", "title": "Memory", "value": "2 GB" },
{
"key": "directConnections",
@@ -50,8 +48,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "Medium" },
{ "key": "pricing", "title": "Price USD", "value": "$60" },
{ "key": "cpu", "title": "CPU", "value": "2-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": false },
{ "key": "cpu", "title": "Compute", "value": "Shared compute" },
{ "key": "memory", "title": "Memory", "value": "4 GB" },
{
"key": "directConnections",
@@ -69,8 +66,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "Large" },
{ "key": "pricing", "title": "Price USD", "value": "$110" },
{ "key": "cpu", "title": "CPU", "value": "2-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 2 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "8 GB" },
{
"key": "directConnections",
@@ -88,8 +84,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "XL" },
{ "key": "pricing", "title": "Price USD", "value": "$210" },
{ "key": "cpu", "title": "CPU", "value": "4-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 4 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "16 GB" },
{
"key": "directConnections",
@@ -107,8 +102,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "2XL" },
{ "key": "pricing", "title": "Price USD", "value": "$410" },
{ "key": "cpu", "title": "CPU", "value": "8-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 8 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "32 GB" },
{
"key": "directConnections",
@@ -126,8 +120,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "4XL" },
{ "key": "pricing", "title": "Price USD", "value": "$960" },
{ "key": "cpu", "title": "CPU", "value": "16-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 16 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "64 GB" },
{
"key": "directConnections",
@@ -145,8 +138,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "8XL" },
{ "key": "pricing", "title": "Price USD", "value": "$1,870" },
{ "key": "cpu", "title": "CPU", "value": "32-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 32 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "128 GB" },
{
"key": "directConnections",
@@ -164,8 +156,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "12XL" },
{ "key": "pricing", "title": "Price USD", "value": "$2,800" },
{ "key": "cpu", "title": "CPU", "value": "48-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 48 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "192 GB" },
{
"key": "directConnections",
@@ -183,8 +174,7 @@
"columns": [
{ "key": "plan", "title": "Plan", "value": "16XL" },
{ "key": "pricing", "title": "Price USD", "value": "$3,730" },
{ "key": "cpu", "title": "CPU", "value": "64-core ARM" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Dedicated · 64 vCPUs" },
{ "key": "memory", "title": "Memory", "value": "256 GB" },
{
"key": "directConnections",
@@ -207,8 +197,7 @@
"value": "Contact Us",
"url": "/dashboard/support/new?category=sales&subject=Enquiry%20about%20larger%20instance%20sizes"
},
{ "key": "cpu", "title": "CPU", "value": "Custom" },
{ "key": "dedicated", "title": "Dedicated", "value": true },
{ "key": "cpu", "title": "Compute", "value": "Custom" },
{ "key": "memory", "title": "Memory", "value": "Custom" },
{
"key": "directConnections",
+3 -25
View File
@@ -74,32 +74,10 @@ function buildPlanTiersSection(): string {
function buildComputeSection(): string {
const rows = addOnTable.database.rows
const headers = [
'Size',
'$/month',
'CPU',
'Dedicated',
'RAM',
'Direct Connections',
'Pooler Connections',
]
const keys = [
'plan',
'pricing',
'cpu',
'dedicated',
'memory',
'directConnections',
'poolerConnections',
]
const headers = ['Size', '$/month', 'Compute', 'RAM', 'Direct Connections', 'Pooler Connections']
const keys = ['plan', 'pricing', 'cpu', 'memory', 'directConnections', 'poolerConnections']
const dataRows = rows.map((row) =>
keys.map((key) => {
const val = getColumnValue(row, key)
if (key === 'dedicated') return val ? 'Yes' : 'No'
return String(val)
})
)
const dataRows = rows.map((row) => keys.map((key) => String(getColumnValue(row, key))))
const widths = headers.map((h, i) => Math.max(h.length, ...dataRows.map((r) => r[i].length)))