6 Integrations with Triton
View a list of Triton integrations and software that integrates with Triton below. Compare the best Triton integrations as well as features, ratings, user reviews, and pricing of software that integrates with Triton. Here are the current Triton integrations in 2026:
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1
NVIDIA NIM
NVIDIA
Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes. -
2
Applicaster
Applicaster
The only no/low-code platform for creating, launching & managing streaming apps across multiple devices & technology stacks. App independence; developers optional. Use simple, built-in tools to craft and change custom experiences, connect your preferred integrations & launch directly to the app stores. Scale & expand your streaming business with budget predictability & full control over timelines & resources. Support the growing needs of your business in the most operationally efficient way. Continuously experiment, personalize & optimize your app experience to drive that perfect user experience & desired business outcomes. Non-developers build & compile apps, and manage releases. Hundreds of available integrations power client apps. Use our APIs to extend your capabilities. Features available OOTB, you configure your backend. For measurement, data source & UI across platforms. Continuously collect user data, rollout changes quickly. -
3
ASTRAD DSP
ASTRAD
Achieve all your branding and performance goals with the ASTRAD DSP platform. Everything on our platform, from a safe and transparent environment to a data-led focus, to innovative AI models, is designed to empower your marketing efforts. Take your campaigns up a notch, without the hard work of deciding where to place your ads. Spend less time stressing about ad placement with a DSP that uses data to place your ads in the right spots. So you can get back to focusing on reviewing analytics and seeing results. Scale your brand worldwide, our platform gives your ads a global presence. See how your campaigns are doing in real time and use in-depth analytics to tailor your ad strategies, all in one place. Place your ads in the exact locations to create the most impact. Access your audience across devices, such as desktop, mobile, tablet, and connected TV. Deliver your ads in places your target audience is already visiting. -
4
Ludwig
Uber AI
Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning. -
5
Magellan AI
Magellan AI
Magellan AI is the all-in-one platform for podcast advertising intelligence, media planning, and measurement. It has created the world's largest database of podcast advertising data, covering over 50,000 podcasts. Advertiser and agency media buyers rely on Magellan AI's podcast media planning and measurement platform to discover, connect with, and analyze the performance of podcasts, streaming audio, and YouTube. Publishers trust Magellan AI to grow ad sales with intelligence and performance measurement, drive content acquisition, and streamline ad ops. Magellan AI's dashboard reports core metrics from podcast growth campaigns, like podcast downloads, unique listeners, and the listener conversion rate. For the first time, podcast marketers using Magellan AI will be able to break unique listeners out into one-time listeners and repeat listeners. Magellan AI provides customers with dedicated measurement success managers that handle all the setup and troubleshooting of new campaigns. -
6
Clone Protocol
Clone
Clone Protocol is a synthetic asset protocol that allows users to trade and create synthetic versions of real-world assets. It is designed to be intuitive and capital-efficient, making it easy for users to get started. Clone Protocol is also a DeFi DApp on the Alchemy DApp store that allows users to trade non-native tokens on Solana. Explore Clone, the home of non-native token trading on Solana. Discover clAssets, delve into our beautiful UIs, and unlock new opportunities in the evolving world of decentralized finance. Harnessing the power of the high-speed, low-cost Solana blockchain, we've engineered a groundbreaking protocol for the creation and trading of our unique 'cloned' assets, known as clAssets. These markets offer deep liquidity for a wide variety of assets with minimal capital requirements, allowing us to scale to new markets quickly. Join us in redefining the possibilities of decentralized finance.
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