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1,990 this month · 171 companies

Recommended migrations

Update4 days agoUnverifiedAdded Oct 21, 2026

- GPT OSS 120B , move to a dedicated deployment of GPT OSS 120B Inkling , migrate to Muse Spark Open (US endpoint, 50% US regional premium waived) NVIDIA Nemotron 3 Ultra , move to a dedicated deployment of Nemotron Super VL NVIDIA Nemotron 3.5 Lightning 30B A3B , move to a dedicated deployment of Nemotron Super VL MiniMax M3 (US endpoint only) , migrate to...

Fireworks AI's release notes

More Fireworks AI platform releases

Every Fireworks AI platform release
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Action required

If you use any of the models below on serverless, migrate to a recommended replacement before November 7, 2026 . After that date, they will no longer be available via serverless endpoints.

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New models on Serverless

- DeepSeek V4.1 Flash 1017: accounts/fireworks/models/deepseek-v4p1-flash-1017 DeepSeek V4.1 Flash 1017 (US endpoint): accounts/fireworks/models/deepseek-v4p1-flash-1017-us Muse Spark Open (US endpoint, 50% US regional premium waived): accounts/fireworks/models/muse-spark-open MiniMax M3.1: coming to serverless after its open-source release, expected...

Deprecationunverified

Training Upcoming Serverless Training deprecation: DeepSeek V4 Flash (0731) On November 2, 2026 , DeepSeek V4...

Training Upcoming Serverless Training deprecation: DeepSeek V4 Flash (0731) On November 2, 2026 , DeepSeek V4 Flash (0731) will be removed from the shared Serverless Training pool. This change applies only to Serverless Training. If you train DeepSeek V4 Flash (0731) on Serverless Training, migrate to DeepSeek V4.1 Flash 1017 before November 2, 2026.

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Errors identify their source

Before 1.2.27, the sidecar returned HTTP 502 for two failures that weren't server-side: tito_model_malformed_output (unparseable model output) and tito_upstream_error (any sampling exception, including client timeouts and dropped connections). They are replaced by: tito_sdk_parse_error (422): the output couldn't be parsed into an assistant or tool message.

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Unparseable trajectories are discarded

A parse failure makes the whole trajectory untrainable, including earlier successful turns. The cookbook RL loop drops it without retrying or stopping the run, and other rollouts continue. Parse failures don't count toward the infrastructure circuit breaker, which now classifies transient failures more accurately and reports failure counts by reason.

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Failure traces are saved locally

Each failed trajectory leaves a private JSONL trace (request, prepared token IDs, raw completion, exception chain) in fireworks-tito-traces under the system temp directory, capped at 256 MiB. Traces from clean trajectories are deleted, and failures rejected by cookbook adapters use the same location and limits.

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Image inputs for FiretitanSamplingClient.sample

Since 1.2.27, sample and sample_async take a keyword-only images= list of base64 data URLs for token prompts with one placeholder per image. Prompts with unprojected image chunks are rejected so sampler-owned delimiters aren't duplicated. See the cookbook's TITO failure debugging reference for every error code and how to read a trace.

Also shipped on Oct 20, 2026

Fireworks AI in October 2026
Betaunverified

SurveyMonkey connector is available in Beta

The managed SurveyMonkey connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest surveys, survey structure, collectors, survey responses, and contacts from SurveyMonkey into Databricks.

Betaunverified

Oracle Eloqua connector is available in Beta

The managed Oracle Eloqua connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest marketing data such as contacts, accounts, campaigns, email and form assets, form submissions, events, and website visitors from Oracle Eloqua into Databricks.