{ "version": "https://jsonfeed.org/version/1.1", "title": "AI News: Together AI", "home_page_url": "https://ai-news.ypetit.net/sources/together-ai/", "feed_url": "https://ai-news.ypetit.net/feed/source/together-ai.json", "description": "Latest publications from Together AI, aggregated by AI News from the official source.", "language": "en", "items": [ { "id": "https://www.together.ai/blog/together-post-training", "url": "https://www.together.ai/blog/together-post-training", "title": "Together AI: Together Post-Training: frontier-grade model shaping, the way that fits you", "summary": "Post-train open LLMs like Qwen, GLM and Kimi into custom models you own, with SFT or RL. You write the training loop. Together runs the hard infrastructure.", "date_published": "2026-10-19T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/meta-muse-spark-open", "url": "https://www.together.ai/blog/meta-muse-spark-open", "title": "Together AI: Meta Muse Spark Open is live on Together AI", "summary": "Meta Muse Spark Open, Meta's open-weight model for agentic coding, is live on Together AI with a 1M-token context window on serverless and dedicated infrastructure.", "date_published": "2026-10-15T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/expanding-our-enterprise-inference-capacity-with-ibm-cloud-and-nvidia", "url": "https://www.together.ai/blog/expanding-our-enterprise-inference-capacity-with-ibm-cloud-and-nvidia", "title": "Together AI: Expanding our enterprise inference capacity with IBM Cloud and NVIDIA", "summary": "Enterprises can now run open models at production scale on a dedicated B300 inference cluster, built by Together AI, IBM Cloud, and NVIDIA", "date_published": "2026-10-06T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/together-link-frontier-quality-open-models-in-the-harness-you-already-use", "url": "https://www.together.ai/blog/together-link-frontier-quality-open-models-in-the-harness-you-already-use", "title": "Together AI: Together Link: open models in the harness you already use. Start with one command today.", "summary": "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%.", "date_published": "2026-10-05T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/how-to-train-your-own-jev", "url": "https://www.together.ai/blog/how-to-train-your-own-jev", "title": "Together AI: How to train your own Jev for $17", "summary": "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!", "date_published": "2026-09-23T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/canary-rollouts-upgrade-models-in-production-without-downtime", "url": "https://www.together.ai/blog/canary-rollouts-upgrade-models-in-production-without-downtime", "title": "Together AI: Canary rollouts: upgrade models in production without downtime", "summary": "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.", "date_published": "2026-09-22T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/global-fintech-scales-coding-agent-traffic-with-dedicated-model-inference", "url": "https://www.together.ai/blog/global-fintech-scales-coding-agent-traffic-with-dedicated-model-inference", "title": "Together AI: How a global fintech scaled coding agent traffic with Dedicated Model Inference", "summary": "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.", "date_published": "2026-09-18T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/migrating-from-closed-to-open-source-models", "url": "https://www.together.ai/blog/migrating-from-closed-to-open-source-models", "title": "Together AI: Migrating from closed to open source models, Together", "summary": "Moving from closed to open source models can take weeks, not years. A five-stage playbook: discover, evaluate, adapt, decide, and production.", "date_published": "2026-09-16T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/together-ai-expands-fine-tuning-service-with-more-models-live-metrics-and-finer-controls", "url": "https://www.together.ai/blog/together-ai-expands-fine-tuning-service-with-more-models-live-metrics-and-finer-controls", "title": "Together AI: Together AI expands fine-tuning service with more models, live metrics, and finer controls", "summary": "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.", "date_published": "2026-09-11T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/introducing-preemptible-compute-the-same-compute-half-the-price", "url": "https://www.together.ai/blog/introducing-preemptible-compute-the-same-compute-half-the-price", "title": "Together AI: Introducing preemptible compute: the same compute, half the price", "summary": "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.", "date_published": "2026-09-10T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/to-infinity-and-beyond-thunderkittens-now-on-nvidia-vera-rubin-nvl72", "url": "https://www.together.ai/blog/to-infinity-and-beyond-thunderkittens-now-on-nvidia-vera-rubin-nvl72", "title": "Together AI: To Infinity and Beyond: ThunderKittens Now on NVIDIA Vera Rubin NVL72!", "summary": "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.", "date_published": "2026-09-10T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/the-open-source-ai-stack", "url": "https://www.together.ai/blog/the-open-source-ai-stack", "title": "Together AI: The Open Source AI Stack", "summary": "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.", "date_published": "2026-09-09T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] }, { "id": "https://www.together.ai/blog/glm-5-3-vs-glm-5-3-flash-on-deepswe-cost-coding-and-routing", "url": "https://www.together.ai/blog/glm-5-3-vs-glm-5-3-flash-on-deepswe-cost-coding-and-routing", "title": "Together AI: We ran 900 DeepSWE rollouts on GLM-5.3 and GLM-5.3 Flash. Flash gives up 5.6 points of pass@1 at …", "summary": "We ran 900 DeepSWE rollouts on GLM-5.3 and GLM-5.3 Flash. Flash gives up 5.6 points of pass@1 at 17x lower cost, and only 2.6 points at pass@4.", "date_published": "2026-08-28T00:00:00.000Z", "tags": [ "blog", "Together AI" ], "authors": [ { "name": "Together AI" } ] } ] }