Releasesby GlyphPlatform Deployment tags and annotation API changes Deployment tags are customer-managed entries stored in a...
Platform Deployment tags and annotation API changes Deployment tags are customer-managed entries stored in a deployment's annotations map. firectl presents logical keys such as environment ; the REST API represents the same key as custom/environment . firectl: Version 1.8.3 adds deployment tag set , unset , and list , including atomic batch operations.
Also shipped Sep 8, 2026Fireworks AI in September 2026 →
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function . This feature is in Preview .
Add and drop hybrid table constraints online (General availability)
With this release, you can add and drop UNIQUE and FOREIGN KEY constraints on an existing hybrid table by using alter table . Previously, you had to define these constraints when you created the table, so adding a foreign key to a table that was already serving a workload meant recreating and reloading the table.
Shadow traffic for gateways (Preview)
With this preview release, you can use a shadow traffic gateway to send all production requests to a primary service endpoint while mirroring a percentage of those requests to one or more shadow endpoints. Responses from shadow endpoints aren't returned to clients.
The partner-powered AI features setting will be removed
On November 1, 2026, Databricks will remove the account- and workspace-level toggle for partner-powered AI features. Each workspace will keep its current setting value: if the setting is enabled, it stays enabled, and if it's disabled, it stays disabled. Removing the toggle doesn't change any setting values.
Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available
Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available. Today, Lakeflow Connect ingests formula fields by taking a full snapshot on each pipeline run by default. When incremental formula field ingestion is generally available, full snapshots will no longer be the default.
ABAC DENY policies are in Beta
ABAC DENY policies are in Beta in Unity Catalog. DENY policies can be used to explicitly deny the MANAGE ACCESS CONTROL privilege to prevent specified principals, including object owners, from performing access-management operations. They always take precedence over any grant. For details, see ABAC DENY policies (Beta) .
More from Fireworks AI platformEvery Fireworks AI platform release →
Training Training cost estimator The new training cost estimator helps you estimate what a training job will...
Training Training cost estimator The new training cost estimator helps you estimate what a training job will cost before you run it. Managed and Serverless estimates use published per-token rates. Dedicated estimates use allocated GPU-hour rates. Planning estimates are not quotes.
Action required
If you use any of the models below on serverless, migrate to a recommended replacement before September 25, 2026 . After that date, they will no longer be available via serverless endpoints.
Recommended migrations
- DeepSeek V4 Flash (0731) , migrate to DeepSeek V4.1 Flash DeepSeek V4 Pro (0813) , migrate to DeepSeek V4.1 Flash DeepSeek V4 Flash Vision Exp , migrate to DeepSeek V4.1 Flash GLM 5.2 , migrate to GLM 5.3 Muse Glimmer 30B , migrate to NVIDIA Nemotron 3.5 Lightning 30B A3B Kimi K2.6 , migrate to GLM 5.3 or Kimi K3 Kimi K2.7 Code , migrate to GLM 5.3 or...
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.
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 pricing update: DeepSeek V4.1 Flash On October 1, 2026 at 00:00 UTC , serverless pricing...
Inference Serverless pricing update: DeepSeek V4.1 Flash On October 1, 2026 at 00:00 UTC , serverless pricing for DeepSeek V4.1 Flash changes (uncached input / cached input / output price per 1M tokens): Standard: $0.22 / $0.007 / $0.66 → $0.30 / $0.006 / $1.20 Priority: $0.275 / $0.00875 / $0.825 → $0.375 / $0.0075 / $1.50 This adjustment brings our...
Platform New deployment creation flags: deploymentShape: "default" and acceptShapelessRisk Two new options...
Platform New deployment creation flags: deploymentShape: "default" and acceptShapelessRisk Two new options are available on the Create Deployment API, in firectl ( --deployment-shape default / --accept-shapeless-risk ), and in the Python SDK ( deployment_shape="default" / accept_shapeless_risk=True ): deploymentShape: "default" , Fireworks picks a validated...
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)