Releasesby GlyphTraining SFT learning rate scheduler documentation Documented learning rate scheduler settings for supervised...
Training SFT learning rate scheduler documentation Documented learning rate scheduler settings for supervised fine-tuning jobs, including constant , linear , and cosine schedules via firectl and the REST API lrScheduler object.
Also shipped Jul 17, 2026Fireworks AI in July 2026 →
Databricks Genie app in Microsoft Teams is now in Public Preview
The Databricks Genie app in Microsoft Teams is now in Public Preview . The app brings Genie into Microsoft Teams so users can ask data questions and get answers without leaving Microsoft Teams. See Databricks Genie app in Microsoft Teams .
Anthropic managed ingestion connector (Beta)
The Anthropic connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest Compliance API data , audit activity, organizations, users, roles, groups, settings, and Claude chats and messages , from Anthropic into Databricks. See Anthropic connector .
Data lineage ingestion control is GA for BigQuery, Spark and Airflow
Data lineage can now be controlled at the organization, folder or project level for BigQuery, Managed Service for Apache Spark and Managed Service for Apache Airflow.
Gemini 3.1 Flash Image Preview and 3 Pro Image Preview are retired
The Nano Banana preview models gemini-3.1-flash-image-preview and gemini-3-pro-image-preview have been retired and are no longer accessible. Update your code to use either gemini-3.1-flash-image or gemini-3-flash-image instead.
[Launched] Generally Available: Microsoft Defender security assessments for Azure Database for PostgreSQL Flexible Server
Microsoft Defender Cloud Security Posture Management (CSPM) assessments for Azure Database for PostgreSQL Flexible Server are now generally available. You can use assessments to continuously evaluate the security posture of your Azure PostgreSQL flexible
Legacy Claude Console Workbench sunsets on August 17, 2026
Access to the legacy Workbench ends August 17, 2026, and saved prompts, variables and evals are not supported in the updated Workbench. Export any data you want to keep from the banner or Organizational Settings.
More from Fireworks AI platformEvery Fireworks AI platform release →
Recommended migrations
- Kimi K2.5 , migrate to Kimi K2.6 Qwen 3.6 Plus , migrate to Qwen 3.7 Plus
Inference Serverless deprecation: DeepSeek V4 Flash DeepSeek V4 Flash is deprecated from serverless
Inference Serverless deprecation: DeepSeek V4 Flash DeepSeek V4 Flash is deprecated from serverless. Migrate to DeepSeek V4 Flash (0731) .
Platform SSO documentation: IdP-initiated SAML Updated the Custom SSO guide
Platform SSO documentation: IdP-initiated SAML Updated the Custom SSO guide. IdP-initiated SAML is supported as an opt-in ( --enable-idp-initiated-sso ); the previous troubleshooting copy that said Fireworks only supported SP-initiated login was incorrect.
Training Serverless Training deprecation: Qwen 3.5 9B and Qwen 3.6 27B Qwen 3.5 9B and Qwen 3.6 27B are...
Training Serverless Training deprecation: Qwen 3.5 9B and Qwen 3.6 27B Qwen 3.5 9B and Qwen 3.6 27B are deprecated from Serverless Training effective August 26, 2026. Migrate new and existing Serverless Training workloads to Qwen 3.8 27B . This change applies to the shared Serverless Training pool.
Recommended migrations
- MiniMax M2.7 , migrate to MiniMax M3 GPT OSS 20B , migrate to GPT OSS 120B or Qwen3 8B for lower-latency workloads Kimi K2.6 Turbo / Fast , migrate to Kimi K2.6 (standard mode) Kimi K2.7 Code Fast , migrate to Kimi K2.7 Code (standard mode) DeepSeek V4 Pro , migrate to DeepSeek V4 Pro (0813)
Training New Serverless Training models: DeepSeek V4 Flash 0731, Qwen 3.8 27B, and Muse Glimmer 30B The...
Training New Serverless Training models: DeepSeek V4 Flash 0731, Qwen 3.8 27B, and Muse Glimmer 30B The following models are now available for LoRA workloads on the shared Serverless Training pool: DeepSeek V4 Flash 0731 with up to 262K context Qwen 3.8 27B with up to 128K context Muse Glimmer 30B with up to 128K context See the Serverless Training guide...
Inference Serverless rate limit ceilings now scale by model size Serverless adaptive rate limit ceilings now...
Inference Serverless rate limit ceilings now scale by model size Serverless adaptive rate limit ceilings now vary by model size tier. Smaller models ( Serverless rate limits for tier thresholds and ceiling values.