GCP News - 2026-08-06
2026-08-06
最終更新: 2026-08-27 21:31:31 JST
Google Cloud Release Notes
August 06, 2026
- Link: https://docs.cloud.google.com/release-notes#August_06_2026
- Published: 2026-08-06 16:00:00
- Fetched: 2026-08-27 21:31:25
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Cloud Key Management Service
Feature
Preview: Cloud KMS supports quantum-safe key import. You can use the following quantum-safe import methods:
HPKE_KEM_XWING_HKDF_SHA256_AES_256_GCMHPKE_KEM_ML_KEM_768_HKDF_SHA256_AES_256_GCMHPKE_KEM_ML_KEM_1024_HKDF_SHA256_AES_256_GCM
For more information about quantum-safe key import, see Quantum-safe key import.
Cluster Toolkit
Feature
Cluster Toolkit v1.99.0 is available. This release adds built-in Prometheus OpenMetrics telemetry for Slurm version 25.11 and later, promotes toolkit telemetry to production, and enhances Slurm resilience to capacity constraints and quota errors. This version also enables Multi-Tier Checkpointing (MTC) at the job submission stage and adds GKE TPU v4 and v5p examples. For details, see the release announcement on GitHub.
Gemini Enterprise
Change
Gemini Enterprise: Description field removed from Custom MCP server data store
Gemini Enterprise automatically calls your server's tools/list
endpoint to discover and understand tools, parameter schemas, and
capabilities directly. Because Gemini Enterprise routes requests using
explicit tool definitions and parameter schemas, you don't need to
write descriptions. This change simplifies data store
setup and improves routing accuracy. Existing custom MCP data stores do not
require any updates.
For more information, see Set up a custom MCP server.
Announcement
Gemini Enterprise: Postponed removal of Gemini 3.5 Flash in the Global region
We have postponed the removal of Gemini 3.5 Flash from the global region
in the Gemini Enterprise app. A revised removal schedule will be provided
when available.
Google Cloud Contact Center as a Service
Announcement
Advanced reporting dashboards 5.1
We've released version 5.1 of the advanced reporting dashboards.
Feature
Sub teams are included when top-level teams are selected in the Team filter
When you select a team in a Team filter on a dashboard, the data for that team's sub-teams is now included.
Feature
The Agent Metrics (Historical) Explore contains the Avg Chat Concurrency metric
The Agent Metrics (Historical) Explore now contains the Ave Chat Concurrency metric to capture concurrency trends for agents, teams, and queues.
Feature
Metrics for warm transfers and agent consultations
The Transfers - Calls and Transfers - Chats dashboards now have the following metrics in the Call Transfers and Chat Transfers tables:
Agent Connection Time (H:M:S). Reports the time spent consulting with another agent and then warm transferring to that agent.
Agent Consult Time (H:M:S). Reports the time spent consulting with another agent before returning to the call.
Fixed
This release addresses the following issues:
Fixed an issue where the This Week and This Month per-hour figures on the Performance Overview and Agent Performance dashboards were inaccurate.
Fixed an issue where the Queue Abandons and Abandon % fields on the Queue Group Performance - All and Queue Group Performance - Chats dashboards always displayed
0for chats.Fixed an issue where the virtual agent call metrics on the Virtual Agent - Calls, All Interactions - Calls, and Performance Overview dashboards were incorrect.
Fixed an issue where agents appeared under Assigned Agent for calls that they weren't connected to.
Fixed an issue where exporting data from dashboards using date ranges greater than seven days failed.
Fixed an issue in the Real-time Queue Monitoring and Queued Calls dashboards where transferred calls were incorrectly displayed as Queued when they were active with an agent.
Fixed an issue where queue groups that were turned off remained visible in advanced reporting dashboards.
Fixed an issue where the Queue Time filter on the All Interactions dashboard wasn't displaying data.
Fixed an issue where the SLA Target field in the Queue Group Performance - All dashboard was empty.
Fixed an issue where the No checkbox of the Child Queues filter disappeared when cleared. No child queues is the default for this filter, so we removed the No checkbox, leaving only the Yes checkbox.
Fixed an issue where the Available Agents field overstated real capacity.
Fixed an issue on the Queue Groups - Calls and Queue Groups - Chats dashboards where the Ave Current Queue Time metric displayed incorrect data.
For time-related exports, there's now a column that displays time in HH:MM:SS format (in addition to seconds). You can't apply conditional formatting to this format in an Explore.
Fixed an issue where Max Queue Wait Time, Max Speed To Answer, and Max Queue Abandon Time displayed incorrect data in Explores.
Fixed an issue where changes to an agent's availability preferences in the agent adapter weren't reflected in the Agent Activity dashboard.
Updated the labels in the Agent Metrics (Historical) Explore to be channel-agnostic for metrics that include both calls and chats.
Looker
Announcement
Looker 26.14 will roll out to Looker (original) instances on the following schedule:
- Expected deployment start: Monday, August 10, 2026
- Expected final deployment and download available: Sunday, August 23, 2026
Looker 26.14 is expected to include the following changes, features, and fixes.
Fixed
An issue has been fixed where dashboard filters of type: string_filter could spin indefinitely if no suggestions were configured. This feature now performs as expected.
Fixed
An issue has been fixed where clicking edit for a visualization from a dashboard caused the dashboard tile header to render on top of the Explore, preventing editing. This feature now performs as expected.
Fixed
An issue has been fixed where LookML drill links and Liquid variables inside table cells could fail to render properly on dashboards and embedded visualizations. This feature now performs as expected.
Feature
Now generally available, the Granular Dashboard Sizing feature allows dashboard editors to change the size and layout of dashboard tiles with more granularity. Note: This item was added on August 13, 2026.
Feature
The Axis Order options in the Y tab of the visualization editor now support keyboard inputs.
Feature
Conversational Analytics data agent editors can now specify whether the agent will show its thinking or debugging information when generating a response.
Change
A Conversational Analytics data agent now displays query results in its thinking rather than in its final response.
Change
The timeout length for Conversational Analytics queries has been increased from two to five minutes. Note: This item was updated on August 7, 2026.
Fixed
An issue has been fixed where large queries on Snowflake connections could fail with an SSLHandshakeException: No trusted certificate found error. This feature now performs as expected.
Fixed
An issue has been fixed where the Show Region Field in Tooltip option was hidden for region maps that were configured without LookML map layer metadata. This feature now performs as expected.
Fixed
An issue has been fixed where the list of Explores in the Conversational Analytics agent's card could be cut off for embed users with longer names. This feature now performs as expected.
Fixed
An issue has been fixed where users with mixed roles across projects were unable to see and re-authorize OAuth connections for projects where they had viewer-only access. This feature now performs as expected.
Fixed
An issue has been fixed where a secondary Y-axis could reset its position if a parameter value was updated. This feature now performs as expected.
Fixed
An issue has been fixed where validating LookML with an empty value_format parameter could result in a 500 internal server error. This feature now performs as expected.
Fixed
An issue has been fixed where modifying table calculations could cause Looker to run a new query rather than pulling results from cache. This feature now performs as expected.
Fixed
An issue has been fixed where clicking the Fullscreen button while using the Conversational Analytics dashboard caused the chat view to disappear. This feature now performs as expected.
Fixed
An issue has been fixed where scheduled jobs that were owned by users who authenticated by using Workforce Identity (BYOID) could fail with IAM login failures. This feature now performs as expected.
Fixed
An issue has been fixed where the merged results page could return a 403 error after a period of user inactivity while cookieless embedding was being used. This feature now performs as expected.
Fixed
An issue has been fixed where some characters were incorrectly displayed as HTML entities. For example," would render as ". This feature now performs as expected.
Fixed
An issue has been fixed where Looker could generate incorrect SQL when creating a Self-service Explore from a spreadsheet. This feature now performs as expected.
Fixed
An issue has been fixed where the drill modal incorrectly displayed a pivot option for queries that couldn't be pivoted. This feature now performs as expected.
Fixed
An issue has been fixed where updating the data for a Self-service Explore could fail with a generic error. This feature now performs as expected.
Fixed
An issue has been fixed where Timeline visualizations could fail to respect admin color collection overrides. This feature now performs as expected.
Fixed
An issue has been fixed where visualizations were not respecting internal dashboard theme color collections, which caused custom theme color collections to revert to the defaults.
Fixed
An issue has been fixed where timeout settings in the Extension SDK could be reset to their default value of 120 seconds. This feature now performs as expected.
Fixed
An issue has been fixed where the items in the Axis Order section in the Y panel of the visualization edit panel were inaccessible to screen readers. This feature now performs as expected.
Fixed
An issue has been fixed where non-admin user OAuth tokens remained valid even after database connection parameters were updated. This feature now performs as expected.
Fixed
An issue with column numbers has been fixed that could occur when XLSX results for tiles that used pivots were generated. This feature now performs as expected.
Fixed
An issue has been fixed in the Conversational Analytics interface where chats that used deleted agents or Explores could neither be deleted nor restored. This feature now performs as expected.
Fixed
An issue has been fixed where searching by label in the field picker would fail to find fields where the group_label or group_item_label was set to an empty string. This feature now performs as expected.
Fixed
Looker now displays a more informative error when a Conversational Analytics conversation fails to load as the result of a network failure. This feature now performs as expected.
Fixed
An issue has been fixed where LookML dashboards could fail to deploy if the project name exceeded 64 characters. This feature now performs as expected.
Fixed
An issue has been fixed where modifying a self-service model that was created from a blank canvas could return a Resource already exists error. This feature now performs as expected.
Fixed
An issue has been fixed where Waterfall chart visualization configurations could fail to render if the X-axis label rotation was set to an empty, a null, or another undefined value. This feature now performs as expected.
Fixed
An issue has been fixed where users with Admin via IAM privileges on Looker (Google Cloud core) couldn't enable the Looker Marketplace. This feature now performs as expected.
Feature
Now generally available, the Dashboard Tile Limits feature allows admins to set limits on tiles per dashboard and per tab to optimize performance, which is configured on the Content Guardrails page in the Performance Center section of the Admin panel. Note: This item was added on August 13, 2026.
NetApp Volumes
Feature
The thick clone (thin clone split) feature is generally available (GA) for the Flex Unified Default-mode service level. For more information, see Manage volume clones.
Policy Intelligence
Feature
The Policy Troubleshooter MCP server is generally available. To learn about using the Policy Troubleshooter MCP server to let agents and AI applications troubleshoot IAM issues and errors, see Use the Policy Troubleshooter remote MCP server.
VPC Service Controls
Feature
VPC Service Controls feature: The VPC Service Controls service patterns
feature is
generally available.
You can use service patterns to explicitly configure which Google APIs (both
supported and unsupported) can be accessed from VPC networks
within a service perimeter when using the private VIP (private.googleapis.com)
or a Private Service Connect endpoint with the all-apis bundle.
For more information, see VPC Service Controls service patterns.
Google Cloud Blog (AI & ML)
Mirendil taps AI Hypercomputer TPUs and GPUs for pre- and post-training applications
- Link: https://cloud.google.com/blog/topics/startups/mirendil-selects-ai-hypercomputer/
- Published: 2026-08-06 22:00:00
- Fetched: 2026-08-27 21:31:31
詳細を表示
Nearly every major AI lab uses Google Cloud infrastructure, including for training of models, inference for agents, and new frontier research. Google Cloud also continues to be the platform of choice for new, high-growth AI startups who are driving much of the industry’s research and innovation.
Today, we’re announcing that Mirendil, an exciting frontier AI lab focused on accelerating AI development, will also utilize Google Cloud’s AI Hypercomputer. This includes using a mix of Google’s TPU AI accelerators and full-stack NVIDIA AI infrastructure running on Google Cloud; this purpose-built AI infrastructure will support model pre-training and post-training applications for Mirendil.
The Mirendil team is building new AI systems that can help accelerate and democratize AI research and development. This means managing complex, end-to-end training workflows from initial model pre-training through post-training, and powering reinforcement learning on a massive scale. The ability to choose a mix of both TPU and NVIDIA’s full-stack accelerated computing platform through Google Cloud meant that Mirendil could access critical compute very quickly, and continue to match its workloads to the architecture best-suited to it over time.
We closely partnered with Mirendil on end-to-end design and deployment of combined TPU and NVIDIA AI infrastructure across compute, storage, networking, and control planes. We also collaborated on a system that uses managed training clusters running in Gemini Enterprise Agent Platform, which effectively streamlines the provisioning and management of both TPU and GPU environments for Mirendil. Mirendil is already live with a cluster of TPU v5P chips, with NVIDIA AI accelerated computing systems coming online soon.
"Progress in AI has been bounded by how fast humans can run the research loop - designing experiments, evaluating results, and iterating," said Behnam Neyshabur, cofounder and CEO of Mirendil. "We're building AI systems that can accelerate and improve that loop itself. Expanding on Google Cloud gives us the scale and flexibility to push those systems further and put frontier AI research capabilities in the hands of many more scientists and engineers to run that loop faster and at a greater scale."
You can read more about our partnership on Mirendil’s blog.