Mirai vs. Together AI Comparison


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		Related Products Runpod Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. 230 Ratings Visit Website LM-Kit.NET LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. LM-Kit.NET covers the full range of capabilities production applications actually need: agentic workflows with tool calling, planning, and memory; document intelligence with OCR and structured extraction; retrieval-augmented generation with built-in vector storage; multilingual speech-to-text; vision and multimodal understanding; text analysis with classification, NER, PII extraction, and sentiment; and text generation with translation, summarization, and constrained output. Ships in one NuGet package, runs in-process with no sidecar services, and works across all major hardware acceleration backends. Drop-in replacement for Semantic Kernel through its Microsoft.Extensions.AI compatibility layer. 29 Ratings Visit Website Compute with Hivenet Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside hivenet compute. 4 Ratings Visit Website Gemini Enterprise Agent Platform Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance. 1,161 Ratings Visit Website Anaconda Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance. 625 Ratings Visit Website Google AI Studio Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows. 41 Ratings Visit Website Google Cloud Speech-to-Text Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device. 443 Ratings Visit Website Daylight Daylight merges lightning-fast agentic AI with elite human expertise to deliver a next-gen managed detection and response service that goes beyond alerts, aiming to “take command” of your cyber-frontier. It promises full coverage of your environment with no blind spots, context-aware protection that continuously learns from your systems and past cases (including Slack chats), near-zero false positives, the industry’s lowest mean time to detection and mean time to response, and deep integration with your IT and security stack so it supports unlimited platforms, unlimited integrations, and delivers actionable, noise-free insights via AI dashboards. With Daylight, you get true end-to-end threat detection and response (no escalation games), 24/7 expert support, custom response workflows, environment-wide visibility, and measurable improvements in analyst utilization and response speed, all built to shift your security operations from reactive to commanding. 15 Ratings Visit Website Proton Pass Proton Pass for Business is a secure, end-to-end encrypted password manager built for teams that prioritize privacy, compliance, and control. Safely store and share passwords, passkeys, secure notes, aliases, and credit card details with zero-knowledge encryption, ensuring only your organization can access sensitive data. Manage user access with advanced admin controls, activity logs, and enforced password policies, and simplify onboarding and offboarding with secure vault sharing. Created by the team behind Proton Mail, Proton Pass integrates seamlessly across browsers and devices, offering autofill, password generation, email alias management, and dark web monitoring. With Swiss-based privacy, open-source transparency, and strong end-to-end encryption, Proton Pass for Business helps organizations reduce risk, prevent data breaches, ensure compliance, and boost team productivity without compromising security or user experience. 31,996 Ratings Visit Website IONOS Cloud GPU Servers IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput. 45,340 Ratings Visit Website
About Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements.	About Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.
Platforms Supported Windows Not Supported Mac Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI developers and product teams that need to deploy and run optimized machine learning models directly on Apple devices for faster, private inference	Audience Together AI is ideal for AI-native teams, researchers, and enterprises that require high-performance GPU infrastructure, frontier-scale model training, and cost-optimized inference at massive scale
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing $0.0001 per 1k tokens Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Mirai Founded: 2024 United States trymirai.com	Company Information Together AI Founded: 2022 United States www.together.ai/
Alternatives NVIDIA TensorRT NVIDIA	Alternatives Runpod
SiliconFlow	CoreWeave
ZeroGPU	OpenRouter
FriendliAI	Replicate
EdgeCortix View All	Intel Tiber AI Cloud Intel View All
Categories AI Inference Supported	Categories AI Cloud Providers Supported AI Development Supported AI Fine-Tuning Supported AI Inference Supported AI Infrastructure Supported Artificial Intelligence Supported Cloud GPU Supported LLM API Supported Prompt Engineering Supported

Integrations gpt-oss-120b Supported DeepCoder Not Supported DeepSeek-V4.1-Flash Not Supported DeepSeek-V4.1-Flash-1017 Not Supported Gemma 3 Supported Kimi K2.7 Code Not Supported Langtail Not Supported MiniMax M3 Not Supported MiniMax M3.1 Flash Not Supported Mixpeek Not Supported Nemotron 3 Super Not Supported ONLYOFFICE Docs Not Supported OllaCoder Not Supported Polaris Supported Qwen3-Coder Not Supported RapidClaims Not Supported SmolLM2 Supported Spendline Not Supported Vertesia Not Supported scribe Not Supported Show More Integrations View All 10 Integrations	Integrations gpt-oss-120b Supported DeepCoder Supported DeepSeek-V4.1-Flash Supported DeepSeek-V4.1-Flash-1017 Supported Gemma 3 Not Supported Kimi K2.7 Code Supported Langtail Supported MiniMax M3 Supported MiniMax M3.1 Flash Supported Mixpeek Supported Nemotron 3 Super Supported ONLYOFFICE Docs Supported OllaCoder Supported Polaris Not Supported Qwen3-Coder Supported RapidClaims Supported SmolLM2 Not Supported Spendline Supported Vertesia Supported scribe Supported Show More Integrations View All 56 Integrations
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