Mirai vs. VESSL AI Comparison


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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. 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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 Build, train, and deploy models faster at scale with fully managed infrastructure, tools, and workflows. Deploy custom AI & LLMs on any infrastructure in seconds and scale inference with ease. Handle your most demanding tasks with batch job scheduling, only paying with per-second billing. Optimize costs with GPU usage, spot instances, and built-in automatic failover. Train with a single command with YAML, simplifying complex infrastructure setups. Automatically scale up workers during high traffic and scale down to zero during inactivity. Deploy cutting-edge models with persistent endpoints in a serverless environment, optimizing resource usage. Monitor system and inference metrics in real-time, including worker count, GPU utilization, latency, and throughput. Efficiently conduct A/B testing by splitting traffic among multiple models for evaluation.
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 High-performance ML teams
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 Not 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 $100 + compute/month Free Version 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 Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Mirai Founded: 2024 United States trymirai.com	Company Information VESSL AI Founded: 2020 United States vessl.ai/
Alternatives NVIDIA TensorRT NVIDIA	Alternatives Amazon SageMaker Model Deployment Amazon
SiliconFlow	Deep Infra
ZeroGPU	NVIDIA Triton Inference Server NVIDIA
FriendliAI	Runpod
EdgeCortix View All	Amazon EC2 Inf1 Instances Amazon View All
Categories AI Inference Supported	Categories AI Development Supported AI Inference Supported AI Infrastructure Supported Machine Learning Supported

Integrations Amazon Web Services (AWS) Not Supported DeepSeek R1 Supported Gemma 2 Not Supported Gemma 4 Supported Jupyter Notebook Not Supported Kubernetes Not Supported LFM-3B Supported Llama Supported Llama 3 Not Supported Llama 3.1 Not Supported Llama 3.2 Not Supported Mixtral 8x7B Not Supported MusicGen Not Supported Polaris Supported Qwen3 Supported SmolLM2 Supported Stable Diffusion Not Supported Visual Studio Code Not Supported Vultr Not Supported gpt-oss-120b Supported Show More Integrations View All 10 Integrations	Integrations Amazon Web Services (AWS) Supported DeepSeek R1 Not Supported Gemma 2 Supported Gemma 4 Not Supported Jupyter Notebook Supported Kubernetes Supported LFM-3B Not Supported Llama Not Supported Llama 3 Supported Llama 3.1 Supported Llama 3.2 Supported Mixtral 8x7B Supported MusicGen Supported Polaris Not Supported Qwen3 Not Supported SmolLM2 Not Supported Stable Diffusion Supported Visual Studio Code Supported Vultr Supported gpt-oss-120b Not Supported Show More Integrations View All 20 Integrations
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