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Company news, backed by original sources.
Follow official updates, independent coverage and dated attention signals. Full originals open after free sign-up and an external-link warning.
Observation window
90 days
Published by official sources. Dates are shown in UTC.
Updated Oct 9, 2026, 03:53 PM UTC
Official updates
22
Published in this view
Companies publishing
1
Distinct companies in this window
Days with activity
17
Days with at least one update
Independent stories
0
0 verified US tech publishers
Cross-company mentions
0
Independent stories associated with another company
Open prediction markets
0
Separate from hiring rankings
The infographic
Together AI official publishing pulse
Publication cadence
When the updates appeared
Daily publication dates in UTC. Bars count posts; the line counts distinct companies.
| Date UTC | Updates | Companies |
|---|---|---|
| 2026-07-12 | 0 | 0 |
| 2026-07-13 | 0 | 0 |
| 2026-07-14 | 0 | 0 |
| 2026-07-15 | 2 | 1 |
| 2026-07-16 | 1 | 1 |
| 2026-07-17 | 0 | 0 |
| 2026-07-18 | 0 | 0 |
| 2026-07-19 | 0 | 0 |
| 2026-07-20 | 1 | 1 |
| 2026-07-21 | 0 | 0 |
| 2026-07-22 | 0 | 0 |
| 2026-07-23 | 1 | 1 |
| 2026-07-24 | 0 | 0 |
| 2026-07-25 | 0 | 0 |
| 2026-07-26 | 0 | 0 |
| 2026-07-27 | 0 | 0 |
| 2026-07-28 | 0 | 0 |
| 2026-07-29 | 2 | 1 |
| 2026-07-30 | 0 | 0 |
| 2026-07-31 | 0 | 0 |
| 2026-08-01 | 1 | 1 |
| 2026-08-02 | 0 | 0 |
| 2026-08-03 | 0 | 0 |
| 2026-08-04 | 0 | 0 |
| 2026-08-05 | 0 | 0 |
| 2026-08-06 | 0 | 0 |
| 2026-08-07 | 0 | 0 |
| 2026-08-08 | 0 | 0 |
| 2026-08-09 | 0 | 0 |
| 2026-08-10 | 0 | 0 |
| 2026-08-11 | 0 | 0 |
| 2026-08-12 | 0 | 0 |
| 2026-08-13 | 0 | 0 |
| 2026-08-14 | 0 | 0 |
| 2026-08-15 | 0 | 0 |
| 2026-08-16 | 0 | 0 |
| 2026-08-17 | 2 | 1 |
| 2026-08-18 | 0 | 0 |
| 2026-08-19 | 0 | 0 |
| 2026-08-20 | 0 | 0 |
| 2026-08-21 | 2 | 1 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 0 | 0 |
| 2026-08-24 | 0 | 0 |
| 2026-08-25 | 0 | 0 |
| 2026-08-26 | 0 | 0 |
| 2026-08-27 | 0 | 0 |
| 2026-08-28 | 0 | 0 |
| 2026-08-29 | 0 | 0 |
| 2026-08-30 | 0 | 0 |
| 2026-08-31 | 0 | 0 |
| 2026-09-01 | 0 | 0 |
| 2026-09-02 | 0 | 0 |
| 2026-09-03 | 0 | 0 |
| 2026-09-04 | 0 | 0 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 0 | 0 |
| 2026-09-07 | 0 | 0 |
| 2026-09-08 | 0 | 0 |
| 2026-09-09 | 1 | 1 |
| 2026-09-10 | 2 | 1 |
| 2026-09-11 | 1 | 1 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 1 | 1 |
| 2026-09-17 | 0 | 0 |
| 2026-09-18 | 1 | 1 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 0 | 0 |
| 2026-09-22 | 1 | 1 |
| 2026-09-23 | 1 | 1 |
| 2026-09-24 | 0 | 0 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 0 | 0 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 0 | 0 |
| 2026-10-01 | 0 | 0 |
| 2026-10-02 | 0 | 0 |
| 2026-10-03 | 0 | 0 |
| 2026-10-04 | 0 | 0 |
| 2026-10-05 | 1 | 1 |
| 2026-10-06 | 1 | 1 |
| 2026-10-07 | 0 | 0 |
| 2026-10-08 | 0 | 0 |
| 2026-10-09 | 0 | 0 |
Source breadth
Who published most
Official updates from the most active companies in this view.
| Company | Updates |
|---|---|
| Together AI | 22 |
Coverage map
Official posts and independent mentions
One story may mention several companies. Bars follow its publication date and count it once in this view.
| Date UTC | Official posts | Independent stories |
|---|---|---|
| 2026-07-12 | 0 | 0 |
| 2026-07-13 | 0 | 0 |
| 2026-07-14 | 0 | 0 |
| 2026-07-15 | 2 | 0 |
| 2026-07-16 | 1 | 0 |
| 2026-07-17 | 0 | 0 |
| 2026-07-18 | 0 | 0 |
| 2026-07-19 | 0 | 0 |
| 2026-07-20 | 1 | 0 |
| 2026-07-21 | 0 | 0 |
| 2026-07-22 | 0 | 0 |
| 2026-07-23 | 1 | 0 |
| 2026-07-24 | 0 | 0 |
| 2026-07-25 | 0 | 0 |
| 2026-07-26 | 0 | 0 |
| 2026-07-27 | 0 | 0 |
| 2026-07-28 | 0 | 0 |
| 2026-07-29 | 2 | 0 |
| 2026-07-30 | 0 | 0 |
| 2026-07-31 | 0 | 0 |
| 2026-08-01 | 1 | 0 |
| 2026-08-02 | 0 | 0 |
| 2026-08-03 | 0 | 0 |
| 2026-08-04 | 0 | 0 |
| 2026-08-05 | 0 | 0 |
| 2026-08-06 | 0 | 0 |
| 2026-08-07 | 0 | 0 |
| 2026-08-08 | 0 | 0 |
| 2026-08-09 | 0 | 0 |
| 2026-08-10 | 0 | 0 |
| 2026-08-11 | 0 | 0 |
| 2026-08-12 | 0 | 0 |
| 2026-08-13 | 0 | 0 |
| 2026-08-14 | 0 | 0 |
| 2026-08-15 | 0 | 0 |
| 2026-08-16 | 0 | 0 |
| 2026-08-17 | 2 | 0 |
| 2026-08-18 | 0 | 0 |
| 2026-08-19 | 0 | 0 |
| 2026-08-20 | 0 | 0 |
| 2026-08-21 | 2 | 0 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 0 | 0 |
| 2026-08-24 | 0 | 0 |
| 2026-08-25 | 0 | 0 |
| 2026-08-26 | 0 | 0 |
| 2026-08-27 | 0 | 0 |
| 2026-08-28 | 0 | 0 |
| 2026-08-29 | 0 | 0 |
| 2026-08-30 | 0 | 0 |
| 2026-08-31 | 0 | 0 |
| 2026-09-01 | 0 | 0 |
| 2026-09-02 | 0 | 0 |
| 2026-09-03 | 0 | 0 |
| 2026-09-04 | 0 | 0 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 0 | 0 |
| 2026-09-07 | 0 | 0 |
| 2026-09-08 | 0 | 0 |
| 2026-09-09 | 1 | 0 |
| 2026-09-10 | 2 | 0 |
| 2026-09-11 | 1 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 0 | 0 |
| 2026-09-14 | 0 | 0 |
| 2026-09-15 | 0 | 0 |
| 2026-09-16 | 1 | 0 |
| 2026-09-17 | 0 | 0 |
| 2026-09-18 | 1 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 0 | 0 |
| 2026-09-21 | 0 | 0 |
| 2026-09-22 | 1 | 0 |
| 2026-09-23 | 1 | 0 |
| 2026-09-24 | 0 | 0 |
| 2026-09-25 | 0 | 0 |
| 2026-09-26 | 0 | 0 |
| 2026-09-27 | 0 | 0 |
| 2026-09-28 | 0 | 0 |
| 2026-09-29 | 0 | 0 |
| 2026-09-30 | 0 | 0 |
| 2026-10-01 | 0 | 0 |
| 2026-10-02 | 0 | 0 |
| 2026-10-03 | 0 | 0 |
| 2026-10-04 | 0 | 0 |
| 2026-10-05 | 1 | 0 |
| 2026-10-06 | 1 | 0 |
| 2026-10-07 | 0 | 0 |
| 2026-10-08 | 0 | 0 |
| 2026-10-09 | 0 | 0 |
Official charts count the selected company’s own feed; independent mentions include stories from other publishers. Charts cover only ingested sources, not all market news. Stock prices and prediction markets provide context; neither proves a hiring change nor affects the hiring ranking.
Seven-day attention radar
Search and prediction signals
Google Trends shows a traffic bucket for a trending search cluster, not searches for this employer alone. Polymarket markets reflect their own question and trading activity. Neither is a hiring indicator.
No verified company matches for this signal filter yet. The monitor will keep checking.
Data source: Google Trends and Polymarket. Only exact company-name matches are shown; ambiguous names are excluded.
Chronological feed
Latest about Together AI
22 stories · page 1 of 2
together.ai
Expanding our enterprise inference capacity with IBM Cloud and NVIDIA
Enterprises can now run open models at production scale on a dedicated B300 inference cluster, built by Together AI, IBM Cloud, and NVIDIA
together.ai
Together Link: open models in the harness you already use. Start with one command today.
Together Link brings frontier open models like GLM 5.3 and Kimi K3 into the coding agent your team already uses, cutting model spend by over 50%.
together.ai
How to train your own Jev for $17
We just launched our own Jev-like classifier, together/Tev1-4B-experimental, on top of Qwen3.5 4B on Together’s serverless platform. In this blog post we’ll show you how to fine-tune your own version!
together.ai
Canary rollouts: upgrade models in production without downtime
A hard model swap exposes every user at once, and rolling back means cold-starting the old deployment under pressure. Here's how staged traffic ramps, metric gates, and automatic rollback work on dedicated inference.
together.ai
How a global fintech scaled coding agent traffic with Dedicated Model Inference
Inside a global bank's shift to self-serve dedicated inference: how Together's DMI gave engineering teams direct control over scaling, models, and testing.
together.ai
Migrating from closed to open source models, Together
Moving from closed to open source models can take weeks, not years. A five-stage playbook: discover, evaluate, adapt, decide, and production.
together.ai
Together AI expands fine-tuning service with more models, live metrics, and finer controls
Together Fine-Tuning adds the latest open-weight models, live experiment tracking, Expert LoRA, early stopping, tokenized dataset previews, pre-flight validation, and lower training prices on selected models.
together.ai
To Infinity and Beyond: ThunderKittens Now on NVIDIA Vera Rubin NVL72!
We ported ThunderKittens to NVIDIA's Vera Rubin NVL72 and rebuilt our NVFP4 GEMM around the new hardware, taking it from 42% of roofline to over 22 PFLOPS — competitive with cuBLAS and CuTe DSL. Here is what changed in the ISA and how we used it.
together.ai
Introducing preemptible compute: the same compute, half the price
Together GPU Clusters now supports preemptible compute: the same GPU capacity at a flat 50% of the on-demand rate, with a five-minute drain window.
together.ai
The Open Source AI Stack
A deep dive into the open model AI stack — model, inference, gateways and routers, harness, and tools — and how keeping each layer independent lets you swap in a new open model in minutes instead of rebuilding your workflow.
together.ai
GLM-5.3 vs. Claude Fable 5 on DeepSWE: Cost, Coding, and Routing
We ran 904 DeepSWE rollouts on GLM-5.3 and Claude Fable 5. A tie on pass@1, but GLM-5.3 wins pass@4 and costs 5.4x less: \$3.99 per rollout vs. \$21.63.
together.ai
GLM-5.3 vs. GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing
We ran 904 DeepSWE rollouts on GLM-5.3 and GPT-5.6 Sol. Sol leads pass@1 by 3.7 points; GLM-5.3 wins pass@4 at half the cost, and a GLM-first cascade hits 85.9%.
together.ai
A/B test models in production
Shadow traffic proves a candidate is operationally sound. It can't tell you if users like it better. Run the split at the endpoint instead of in your app code.
together.ai
DeepSeek V4 Pro 0813 vs Claude Fable 5 on DeepSWE: Cost, Coding, and Routing
We ran 904 DeepSWE rollouts on DeepSeek V4 Pro 0813 and Claude Fable 5. Fable leads pass@1 at 90x the cost; Pro wins pass@4, and a Pro-first cascade hits 82.7%.
together.ai
Kimi K3: the complete developer guide
Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.
together.ai
ThunderAgent: 2x Faster Agentic Inference for Synthetic Data Generation at Scale
ThunderAgent is a program-aware scheduler for agentic inference. By treating each agent workflow as a schedulable program, it eliminates KV cache thrashing to deliver more than 2x single-node throughput and near-linear multi-node scaling.
together.ai
Together AI announces strategic partnership with Moonshot AI to natively serve Kimi models
Together AI partners with Moonshot AI to natively serve Kimi models, starting with the 2.8T parameter Kimi K3, with day zero access and post-training.
together.ai
The production platform for open-weight AI inference
Run open models in production with full control over performance, cost, and quality. Deploy in minutes, roll out safely, and scale to your SLOs.
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