Alternatives to Fortanix Confidential AI

Compare Fortanix Confidential AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Fortanix Confidential AI in 2025. Compare features, ratings, user reviews, pricing, and more from Fortanix Confidential AI competitors and alternatives in order to make an informed decision for your business.

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    Cosmian

    Cosmian

    Cosmian

    Cosmian’s Data Protection Suite delivers a comprehensive, next-generation cryptography platform to secure sensitive data and applications in use, at rest, and in motion across cloud and edge environments. It includes Cosmian Covercrypt, a high-performance hybrid classical and post-quantum encryption library with traceable, fine-grained access control; Cosmian KMS, an open-source, centralized key management system that enables massive client-side encryption on the fly; and Cosmian VM, a plug-and-play, verifiable confidential virtual machine that continuously cryptographically verifies its own integrity without disrupting existing workflows. An AI Runner (“Cosmian AI”) operates within the confidential VM to enable secure model training, querying, and fine-tuning, no coding required. All components integrate via simple APIs and deploy rapidly through AWS, Azure, or Google Cloud marketplaces, empowering organizations to build zero-trust architectures.
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    Anjuna Confidential Computing Software
    Anjuna® makes it simple for enterprises to implement Confidential Computing by allowing applications to operate in complete privacy and isolation, instantly and without modification. Anjuna Confidential Computing software supports custom and legacy applications—even packaged software such as databases and machine learning systems. Both on-site and in the cloud, Anjuna's broad support provides the strongest and most uniform data security across AWS Nitro, Azure, AMD SEV, Intel SGX, and other technologies.
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    OPAQUE

    OPAQUE

    OPAQUE Systems

    OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control.
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    Maple AI

    Maple AI

    Maple AI

    Maple AI is a privacy-first, general-purpose AI assistant designed for professionals and individuals who prioritize confidentiality in their digital interactions. Built on a foundation of end-to-end encryption, secure enclaves, and open source transparency, Maple ensures that your conversations remain exclusively yours, private, secure, and accessible anytime, anywhere. Whether you're a therapist managing sensitive client information, a lawyer drafting confidential documents, or an entrepreneur brainstorming your next big idea, Maple AI delivers secure productivity. It offers seamless syncing across devices, allowing users to move effortlessly between desktop and mobile, always picking up right where they left off. Maple AI provides a consistent and secure experience across platforms. With features like chat history search, AI-generated chat naming, and customizable chat organization, Maple enhances user productivity.
    Starting Price: $5.99 per month
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    Hathr AI

    Hathr AI

    Hathr AI

    HIPAA-compliant AI Chat Tool, API, and Enterprise Solutions powered by Anthropic's Claude, Hathr AI empowers healthcare providers, insurers, and anyone who needs to deal with HIPAA Controlled Data to automate and streamline operations without compromising on data security. Hosted in AWS GovCloud's FedRAMP high environment and Hathr AI helps teams ensure that all data interactions remains confidential and protected against unauthorized access. It allows users to automate tasks such as patient note summarization, pre-authorization writing, and insurance claim submissions on a unified interface. Leveraging models, such as Claude 3.5 Sonnet, Hathr AI provides a private, HIPAA-compliant AI environment, ensuring that sensitive data remains within control. Teams can retrieve and summarize information from extensive medical records, enabling informed clinical decisions.
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    CustomGPT

    CustomGPT

    CustomGPT

    CustomGPT is the customer engagement AI platform for businesses to grow customer engagement, employee efficiency & revenue with their own business data and ChatGPT. A custom ChatGPT model trained on your business content can automate repetitive tasks and provide quick responses to customer inquiries, freeing up human staff to focus on more strategic tasks. With ChatGPT + your business content, your business can provide more tailored and relevant customer interactions, enhancing the overall customer experience. Discover all the ways CustomGPT can help streamline your workflows and improve your company’s efficiency. Quickly ingest your business content with our seamless sitemap integration or upload your files, easy setup guaranteed. Get cutting-edge AI capabilities with our ChatGPT-powered custom bot. Share your custom bot with ease via embed widgets, live chat, or API. With Customized AI technology, businesses can provide more tailored and relevant customer interactions.
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    Duality

    Duality

    Duality Technologies

    Duality Technologies provides a cutting-edge privacy-enhancing platform that enables organizations to securely analyze and collaborate on sensitive, distributed data without exposing or moving it. Using advanced Privacy Enhancing Technologies (PETs) such as fully homomorphic encryption and federated learning, Duality allows AI models and analytics to run safely on encrypted data. The platform supports secure data sharing across borders and organizational silos while maintaining strict compliance and data sovereignty. Duality’s solutions empower industries like financial services, healthcare, and government to generate insights, accelerate innovation, and minimize risk. Customers benefit from seamless integration with major cloud providers and enterprise partners including AWS, Azure, and Google. By safeguarding data throughout the entire data science lifecycle, Duality unlocks new possibilities for privacy-first collaborative research and AI.
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    Privatemode AI

    Privatemode AI

    Privatemode

    Privatemode is an AI service like ChatGPT—but with one critical difference: your data stays private. Using confidential computing, Privatemode encrypts your data before it leaves your device and keeps it protected even during AI processing. This ensures that your information remains secure at all times. Key features: End-to-end encryption: With confidential computing, your data remains encrypted at all times - during transfer, storage, and during processing in main memory. End-to-end attestation: The Privatemode app and proxy verify the integrity of the Privatemode service based on hardware-issued cryptographic certificates. Advanced zero-trust architecture: The Privatemode service is architected to prevent any external party from accessing your data, including even Edgeless Systems. Hosted in the EU: The Privatemode service is hosted in top-tier data centers in the European Union. More locations are coming soon.
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    Qypt AI

    Qypt AI

    Qypt AI

    With features like on-device AI-powered document search and granular access control, Qypt AI enhances productivity while safeguarding confidential information. Whether you're handling personal documents like tax recChat & Discuss Documents: Securely, Without Sharing. Qypt AI provides a secure and efficient solution for team communication and collaboration. Designed for both individuals and businesses, Qypt AI offers encrypted messaging, secure file sharing, and advanced document redaction, ensuring sensitive data is protected at every step.ords or business-critical files such as contracts and financial statements, Qypt AI ensures that data breaches and inefficient workflows are a thing of the past.
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    Duck.ai

    Duck.ai

    DuckDuckGo

    Duck.ai is DuckDuckGo's AI-powered chatbot, integrated seamlessly into their search engine to deliver privacy-focused conversational answers. It leverages advanced machine learning algorithms to provide quick, accurate, and contextually relevant responses across a broad range of topics. The chatbot is designed to be a helpful tool for users seeking instant information, but it stands out by ensuring that no personal data is collected, stored, or tracked. By aligning with DuckDuckGo's commitment to user privacy, Duck.ai offers a secure way for users to engage with AI without compromising their anonymity or data security.
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    Venice.ai

    Venice.ai

    Venice.ai

    Venice is a permissionless alternative to the popular AI apps. It is an alternative needed because those apps violate your privacy and censor the AI’s responses. Venice utilizes leading open source AI technology to deliver uncensored, unbiased machine intelligence, and we do it while preserving your privacy. Search the world’s information, have rich conversations, analyze documents, and create images and art at the push of a button. Venice is super simple, with no downloads. There are no installations of anything. For basic use, no account is necessary and the service is free, you can use it right now. The Venice front-end is a clean web app that should feel familiar to anyone who has used generative AI. Your conversation history is stored only in your browser. Venice does not store or log prompt or model responses on our servers. Several different AI models for different results and styles. Ability to save and organize past conversations for future reference.
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    Jatter.ai

    Jatter.ai

    Jatter.ai

    Jatter is an AI-powered chat app that keeps every conversation secure and anonymous through client-side encryption, ensuring only you hold the key to read your messages and that the service never retains your chat history. It anonymizes chats by stripping personal identifiers before processing, lets you draft emails, documents, or notes quickly while maintaining full encryption, and provides detailed, personalized answers across technical or creative topics to help you learn faster. When you mention places, Jatter auto-links them to maps for easy trip planning and restaurant or attraction recommendations, and it supports end-to-end encrypted location sharing so you can securely share your whereabouts with friends or collaborators. Built on GPT-4o Mini with integrated maps functionality, Jatter combines robust privacy protections with versatile chat features for private, intelligent conversations.
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    PrivateGPT

    PrivateGPT

    PrivateGPT

    PrivateGPT is a custom AI solution designed to integrate seamlessly with a company's existing data and tools while addressing privacy concerns. It provides secure, real-time access to information from multiple sources, improving team efficiency and decision-making. By enabling controlled access to a company's knowledge base, it helps teams collaborate more effectively, answer customer queries faster, and streamline software development processes. The platform ensures that data remains private, offering flexible hosting options either on-premises, in the cloud, or through its secure cloud services. PrivateGPT is tailored for businesses seeking to leverage AI to access critical company information while maintaining full control and privacy.
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    Intel Tiber AI Cloud
    Intel® Tiber™ AI Cloud is a powerful platform designed to scale AI workloads with advanced computing resources. It offers specialized AI processors, such as the Intel Gaudi AI Processor and Max Series GPUs, to accelerate model training, inference, and deployment. Optimized for enterprise-level AI use cases, this cloud solution enables developers to build and fine-tune models with support for popular libraries like PyTorch. With flexible deployment options, secure private cloud solutions, and expert support, Intel Tiber™ ensures seamless integration, fast deployment, and enhanced model performance.
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    Armet AI

    Armet AI

    Fortanix

    Armet AI is a secure, turnkey GenAI platform built on Confidential Computing that encloses every stage, from data ingestion and vectorization to LLM inference and response handling, within hardware-enforced secure enclaves. It delivers Confidential AI with Intel SGX, TDX, TiberTrust Services and NVIDIA GPUs to keep data encrypted at rest, in motion and in use; AI Guardrails that automatically sanitize sensitive inputs, enforce prompt security, detect hallucinations and uphold organizational policies; and Data & AI Governance with consistent RBAC, project-based collaboration frameworks, custom roles and centrally managed access controls. Its End-to-End Data Security ensures zero-trust encryption across storage, transit, and processing layers, while Holistic Compliance aligns with GDPR, the EU AI Act, SOC 2, and other industry standards to protect PII, PCI, and PHI.
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    Pipeshift

    Pipeshift

    Pipeshift

    Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management.
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    01.AI

    01.AI

    01.AI

    01.AI offers a comprehensive AI/ML model deployment platform that simplifies the process of training, deploying, and managing machine learning models at scale. It provides powerful tools for businesses to integrate AI into their operations with minimal technical complexity. 01.AI supports end-to-end AI solutions, including model training, fine-tuning, inference, and monitoring. 01. AI's services help businesses optimize their AI workflows, allowing teams to focus on model performance rather than infrastructure. It is designed to support various industries, including finance, healthcare, and manufacturing, offering scalable solutions that enhance decision-making and automate complex tasks.
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    Nscale

    Nscale

    Nscale

    Nscale is the Hyperscaler engineered for AI, offering high-performance computing optimized for training, fine-tuning, and intensive workloads. From our data centers to our software stack, we are vertically integrated in Europe to provide unparalleled performance, efficiency, and sustainability. Access thousands of GPUs tailored to your requirements using our AI cloud platform. Reduce costs, grow revenue, and run your AI workloads more efficiently on a fully integrated platform. Whether you're using Nscale's built-in AI/ML tools or your own, our platform is designed to simplify the journey from development to production. The Nscale Marketplace offers users access to various AI/ML tools and resources, enabling efficient and scalable model development and deployment. Serverless allows seamless, scalable AI inference without the need to manage infrastructure. It automatically scales to meet demand, ensuring low latency and cost-effective inference for popular generative AI models.
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    Instill Core

    Instill Core

    Instill AI

    Instill Core is an all-in-one AI infrastructure tool for data, model, and pipeline orchestration, streamlining the creation of AI-first applications. Access is easy via Instill Cloud or by self-hosting from the instill-core GitHub repository. Instill Core includes: Instill VDP: The Versatile Data Pipeline (VDP), designed for unstructured data ETL challenges, providing robust pipeline orchestration. Instill Model: An MLOps/LLMOps platform that ensures seamless model serving, fine-tuning, and monitoring for optimal performance with unstructured data ETL. Instill Artifact: Facilitates data orchestration for unified unstructured data representation. Instill Core simplifies the development and management of sophisticated AI workflows, making it indispensable for developers and data scientists leveraging AI technologies.
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    Phala

    Phala

    Phala

    Your sensitive data is only processed in hardware secure enclaves isolated from the rest of the world. The integrity of code and data is guaranteed. Only authorization actions are allowed. Phala confidential contract is compatible to multiple standards including Intel SGX and AMD SEV, etc. Secure and reliable data storage and processing based on decentralized storage and our random scheduling algorithm. Remote attestation guarantees the contract runs right inside a trustless and confidential environment. All the code and execution are verifiable on-chain. Smart contract is 90% less useful without composability. Phala is the only confidential contract protocol that keeps interoperability and composability.
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    BeeKeeperAI

    BeeKeeperAI

    BeeKeeperAI

    BeeKeeperAI™ uses privacy-preserving analytics on multi-institutional sources of protected data in a confidential computing environment including end-to-end encryption, secure computing enclaves, and Intel’s latest SGX enabled processors to comprehensively protect the data and the algorithm IP. The data never leaves the organization’s protected cloud storage, eliminating the loss of control and “resharing” risk. Uses primary data - from the original source - rather than synthetic or de-identified data. The data is always encrypted. Healthcare-specific powerful BeeKeeperAI™ tools and workflows support data set creation, labeling, segmentation, and annotation activities. The BeeKeeperAI™ secure enclaves eliminate the risk of data exfiltration and interrogation of the algorithm IP from insiders and third parties. BeeKeeperAI™ acts as the middleman & matchmaker between data stewards and algorithm developers, reducing time, effort, and costs of data projects by over 50%.
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    Intel Tiber Trust Authority
    ​Intel Tiber Trust Authority is a zero-trust attestation service that ensures the integrity and security of applications and data across various environments, including multiple clouds, sovereign clouds, edge, and on-premises infrastructures. It independently verifies the trustworthiness of compute assets such as infrastructure, data, applications, endpoints, AI/ML workloads, and identities, attesting to the validity of Intel Confidential Computing environments, including Trusted Execution Environments (TEEs), Graphical Processing Units (GPUs), and Trusted Platform Modules (TPMs). ​ Provides assurance of the environment's authenticity, irrespective of data center management, addressing the need for separation between cloud infrastructure providers and verifiers. Enables workload expansion across on-premises, edge, multiple cloud, or hybrid deployments with a consistent attestation service rooted in silicon.
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    prompteasy.ai

    prompteasy.ai

    prompteasy.ai

    You can now fine-tune GPT with absolutely zero technical skills. Enhance AI models by tailoring them to your specific needs. Prompteasy.ai helps you fine-tune AI models in a matter of seconds. We make AI tailored to your needs by helping you fine-tune it. The best part is, that you don't even have to know AI fine-tuning. Our AI models will take care of everything. We will be offering prompteasy for free as part of our initial launch. We'll be rolling out pricing plans later this year. Our vision is to make AI smart and easily accessible to anyone. We believe that the true power of AI lies in how we train and orchestrate the foundational models, as opposed to just using them off the shelf. Forget generating massive datasets, just upload relevant materials and interact with our AI through natural language. We take care of building the dataset ready for fine-tuning. You just chat with the AI, download the dataset, and fine-tune GPT.
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    Oumi

    Oumi

    Oumi

    Oumi is a fully open source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. It supports training and fine-tuning models ranging from 10 million to 405 billion parameters using state-of-the-art techniques such as SFT, LoRA, QLoRA, and DPO. The platform accommodates both text and multimodal models, including architectures like Llama, DeepSeek, Qwen, and Phi. Oumi offers tools for data synthesis and curation, enabling users to generate and manage training datasets effectively. For deployment, it integrates with popular inference engines like vLLM and SGLang, ensuring efficient model serving. The platform also provides comprehensive evaluation capabilities across standard benchmarks to assess model performance. Designed for flexibility, Oumi can run on various environments, from local laptops to cloud infrastructures such as AWS, Azure, GCP, and Lambda.
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    Oxtrys

    Oxtrys

    Oxtrys

    Oxtrys is a cloud infrastructure provider offering high-performance virtual private servers (VPS) and dedicated hosting across major global regions, including the USA, Germany, the UK, Singapore, Australia, Japan, and India. Their VPS solutions are built on SSD storage and Intel/AMD Xeon processors. It includes full root access, IPv4/IPv6 addresses, DDoS protection, and 99.7–99.9% uptime. Users can scale resources, RAM, CPU cores, and storage seamlessly, with live migration and upgrades via an intuitive control panel. Oxtrys also offers managed support for fast setup, maintenance, security services (SSL via DigiCert), cloud backup, and Forex-focused VPS use cases. Oxtrys' infrastructure supports AI/ML development environments, web hosting, software testing, and forex trading, leveraging robust network connectivity and reserved bandwidth.
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    Cisco UCS X-Series
    IDC predicts that by 2023, 300 percent more applications will run in data center and edge locations and 500 million digital applications and services will be developed using cloud-native approaches. Supercharge your apps with this 2-socket modular server with 4th Gen Intel Xeon Scalable processors. Embrace what's coming through a system that supports rapid innovation with simplified management from the cloud. Be more efficient with a scalable operating model and adaptable hybrid cloud infrastructure. Instantly consolidate any app onto an efficient modular, scalable platform. Link up with UCS X-Fabric Technology to connect PCIe nodes to compute nodes.
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    Intel Tiber AI Studio
    Intel® Tiber™ AI Studio is a comprehensive machine learning operating system that unifies and simplifies the AI development process. The platform supports a wide range of AI workloads, providing a hybrid and multi-cloud infrastructure that accelerates ML pipeline development, model training, and deployment. With its native Kubernetes orchestration and meta-scheduler, Tiber™ AI Studio offers complete flexibility in managing on-prem and cloud resources. Its scalable MLOps solution enables data scientists to easily experiment, collaborate, and automate their ML workflows while ensuring efficient and cost-effective utilization of resources.
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    Amazon SageMaker Model Deployment
    Amazon SageMaker makes it easy to deploy ML models to make predictions (also known as inference) at the best price-performance for any use case. It provides a broad selection of ML infrastructure and model deployment options to help meet all your ML inference needs. It is a fully managed service and integrates with MLOps tools, so you can scale your model deployment, reduce inference costs, manage models more effectively in production, and reduce operational burden. From low latency (a few milliseconds) and high throughput (hundreds of thousands of requests per second) to long-running inference for use cases such as natural language processing and computer vision, you can use Amazon SageMaker for all your inference needs.
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    thinkdeeply

    thinkdeeply

    Think Deeply

    Discover from a variety of assets to jump-start your AI project. The AI hub provides a rich collection of artifacts that your project may need - industry AI starter kits, datasets, notebooks, pre-trained models, deployment-ready solutions & pipelines. Get access to the best resources from external parties, or created by your organization. Prepare and manage your data for model training. Collect, organize, tag, or select features, and prepare datasets for training with simple drag and drop UI. Collaborate with multiple team members to tag large datasets. Implement a quality control process to ensure dataset quality. Build models with simple clicks using the model wizards. No data science knowledge required. The system selects the best models for the problem and optimizes their training parameters. Advanced users, however, can fine-tune the models and their hyper-parameters. One-click deployment to production inference enviornments.
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    NetApp AIPod
    NetApp AIPod is a comprehensive AI infrastructure solution designed to streamline the deployment and management of artificial intelligence workloads. By integrating NVIDIA-validated turnkey solutions, such as NVIDIA DGX BasePOD™ and NetApp's cloud-connected all-flash storage, AIPod consolidates analytics, training, and inference capabilities into a single, scalable system. This convergence enables organizations to rapidly implement AI workflows, from model training to fine-tuning and inference, while ensuring robust data management and security. With preconfigured infrastructure optimized for AI tasks, NetApp AIPod reduces complexity, accelerates time to insights, and supports seamless integration into hybrid cloud environments.
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    Deep Lake

    Deep Lake

    activeloop

    Generative AI may be new, but we've been building for this day for the past 5 years. Deep Lake thus combines the power of both data lakes and vector databases to build and fine-tune enterprise-grade, LLM-based solutions, and iteratively improve them over time. Vector search does not resolve retrieval. To solve it, you need a serverless query for multi-modal data, including embeddings or metadata. Filter, search, & more from the cloud or your laptop. Visualize and understand your data, as well as the embeddings. Track & compare versions over time to improve your data & your model. Competitive businesses are not built on OpenAI APIs. Fine-tune your LLMs on your data. Efficiently stream data from remote storage to the GPUs as models are trained. Deep Lake datasets are visualized right in your browser or Jupyter Notebook. Instantly retrieve different versions of your data, materialize new datasets via queries on the fly, and stream them to PyTorch or TensorFlow.
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    Amazon EC2 Inf1 Instances
    Amazon EC2 Inf1 instances are purpose-built to deliver high-performance and cost-effective machine learning inference. They provide up to 2.3 times higher throughput and up to 70% lower cost per inference compared to other Amazon EC2 instances. Powered by up to 16 AWS Inferentia chips, ML inference accelerators designed by AWS, Inf1 instances also feature 2nd generation Intel Xeon Scalable processors and offer up to 100 Gbps networking bandwidth to support large-scale ML applications. These instances are ideal for deploying applications such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization, and fraud detection. Developers can deploy their ML models on Inf1 instances using the AWS Neuron SDK, which integrates with popular ML frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing for seamless migration with minimal code changes.
    Starting Price: $0.228 per hour
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    Simplismart

    Simplismart

    Simplismart

    Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go.
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    Cisco UCS S-Series
    Our modular architecture lets you right-size infrastructure for the workload and operate with the efficiency and predictable TCO you need. Data is growing exponentially. The need to scale your storage quickly and cost-effectively is vital. Whether you use spinning disk, SSD, NVMe, or a combination of each, the Cisco UCS S-Series has you covered to scale to Petabytes in minutes. Emerging applications are pushing performance limits as data moves closer to compute. A dual server node architecture using 2nd Gen Intel® Xeon® Scalable processors and Intel Xeon Scalable processors strikes the right balance between compute and capacity. Making the right investment in technology can have significant long-term benefits. The Cisco UCS S-Series provides maximum investment protection through multi-generational system design and the flexibility to fit to your unique requirements.
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    Intel Server System R1000WF Family
    These 1U rack systems feature high memory capacity, networking, storage and I/O flexibility to scale as your business grows and evolves. Supporting the Intel® Xeon® Scalable processor, these Intel® Server Board S2600WF-based systems are designed to address the requirements of your most demanding workloads. Intel® Data Center Systems (Intel® DCS) are fully validated server systems that can help partners accelerate time to market with solutions built using Intel’s latest technology. Intel builds servers to your specifications from a list of validated components.
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    Vultron

    Vultron

    Vultron

    Compress proposal production timeframes from weeks into days. Vultron’s proprietary multi-domain models are preferred 94% of the time. Foundation models produce generic content that presents several risks, such as intellectual property and confidentiality issues, hallucinations, and the creation of redundant content. Fine-tuned models generate content specific and unique to organizations but often produce content with low responsiveness, substantiation, and explanation, frequently necessitating substantial rewrites and multiple iterations. Custom-built models, unique to each organization and designed for proposal development, are embedded into every workflow. The models incorporate organizational capabilities and brand voice throughout, delivering high-quality results faster. Supercharge revenue by driving new business and on-contract growth. Increase proposal speed and quality. Vultron is built to the highest security standards, so your organization's data is always protected.
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    Google Cloud AI Infrastructure
    Options for every business to train deep learning and machine learning models cost-effectively. AI accelerators for every use case, from low-cost inference to high-performance training. Simple to get started with a range of services for development and deployment. Tensor Processing Units (TPUs) are custom-built ASIC to train and execute deep neural networks. Train and run more powerful and accurate models cost-effectively with faster speed and scale. A range of NVIDIA GPUs to help with cost-effective inference or scale-up or scale-out training. Leverage RAPID and Spark with GPUs to execute deep learning. Run GPU workloads on Google Cloud where you have access to industry-leading storage, networking, and data analytics technologies. Access CPU platforms when you start a VM instance on Compute Engine. Compute Engine offers a range of both Intel and AMD processors for your VMs.
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    Baseten

    Baseten

    Baseten

    Baseten is a high-performance platform designed for mission-critical AI inference workloads. It supports serving open-source, custom, and fine-tuned AI models on infrastructure built specifically for production scale. Users can deploy models on Baseten’s cloud, their own cloud, or in a hybrid setup, ensuring flexibility and scalability. The platform offers inference-optimized infrastructure that enables fast training and seamless developer workflows. Baseten also provides specialized performance optimizations tailored for generative AI applications such as image generation, transcription, text-to-speech, and large language models. With 99.99% uptime, low latency, and support from forward deployed engineers, Baseten aims to help teams bring AI products to market quickly and reliably.
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    Llama 2
    The next generation of our open source large language model. This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters. Llama 2 pretrained models are trained on 2 trillion tokens, and have double the context length than Llama 1. Its fine-tuned models have been trained on over 1 million human annotations. Llama 2 outperforms other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests. Llama 2 was pretrained on publicly available online data sources. The fine-tuned model, Llama-2-chat, leverages publicly available instruction datasets and over 1 million human annotations. We have a broad range of supporters around the world who believe in our open approach to today’s AI — companies that have given early feedback and are excited to build with Llama 2.
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    GMI Cloud

    GMI Cloud

    GMI Cloud

    Build your generative AI applications in minutes on GMI GPU Cloud. GMI Cloud is more than bare metal. Train, fine-tune, and infer state-of-the-art models. Our clusters are ready to go with scalable GPU containers and preconfigured popular ML frameworks. Get instant access to the latest GPUs for your AI workloads. Whether you need flexible on-demand GPUs or dedicated private cloud instances, we've got you covered. Maximize GPU resources with our turnkey Kubernetes software. Easily allocate, deploy, and monitor GPUs or nodes with our advanced orchestration tools. Customize and serve models to build AI applications using your data. GMI Cloud lets you deploy any GPU workload quickly and easily, so you can focus on running ML models, not managing infrastructure. Launch pre-configured environments and save time on building container images, installing software, downloading models, and configuring environment variables. Or use your own Docker image to fit your needs.
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    Amazon EC2 G4 Instances
    Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. Both G4dn and G4ad instances support Amazon Elastic Inference, allowing users to attach low-cost GPU-powered inference acceleration to Amazon EC2 and reduce deep learning inference costs. They are available in various sizes to accommodate different performance needs and are integrated with AWS services such as Amazon SageMaker, Amazon ECS, and Amazon EKS.
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    CIARA ORION HF
    Ultra-fast market analysis and order execution are only possible with the best algorithms powered by reliable high-performance servers. Built with single Intel® Core™ i9 i9-10980XE / i9-7980XE or dual Intel® Xeon® Scalable processors, CIARA ORION high-frequency servers are specifically designed to meet all of your ultra-fast processing needs to stay ahead of the high-frequency trading competition. Our hardware is built for the highly regulated and fast-paced trading and foreign exchange industries. With more than 10,000 computers running in 28 stock exchanges worldwide, you can trust CIARA ORION high-frequency servers to deliver the reliability, scalability, and security your customers require and deserve. All of our systems are validated and optimized with Xilinx (Solarflare), Nvidia (Mellanox), Cisco (Exablaze), and Intel® (Altera). CIARA ORION high-frequency servers power the trading community.
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    FinetuneDB

    FinetuneDB

    FinetuneDB

    Capture production data, evaluate outputs collaboratively, and fine-tune your LLM's performance. Know exactly what goes on in production with an in-depth log overview. Collaborate with product managers, domain experts and engineers to build reliable model outputs. Track AI metrics such as speed, quality scores, and token usage. Copilot automates evaluations and model improvements for your use case. Create, manage, and optimize prompts to achieve precise and relevant interactions between users and AI models. Compare foundation models, and fine-tuned versions to improve prompt performance and save tokens. Collaborate with your team to build a proprietary fine-tuning dataset for your AI models. Build custom fine-tuning datasets to optimize model performance for specific use cases.
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    Latent AI

    Latent AI

    Latent AI

    We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at the edge by optimizing for compute, energy and memory without requiring changes to existing AI/ML infrastructure and frameworks. LEIP is a modular, fully-integrated workflow designed to train, quantize, adapt and deploy edge AI neural networks. LEIP is a modular, fully-integrated workflow designed to train, quantize and deploy edge AI neural networks. Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutions that are efficient, practical, and useful. Latent AI helps a variety of federal and commercial organizations gain the most from their edge AI with an automated edge MLOps pipeline that creates ultra-efficient, compressed, and secured edge models at scale while also removing all maintenance and configuration concerns
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    Metatext

    Metatext

    Metatext

    Build, evaluate, deploy, and refine custom natural language processing models. Empower your team to automate workflows without hiring an AI expert team and costly infra. Metatext simplifies the process of creating customized AI/NLP models, even without expertise in ML, data science, or MLOps. With just a few steps, automate complex workflows, and rely on intuitive UI and APIs to handle the heavy work. Enable AI into your team using a simple but intuitive UI, add your domain expertise, and let our APIs do all the heavy work. Get your custom AI trained and deployed automatically. Get the best from a set of deep learning algorithms. Test it using a Playground. Integrate our APIs with your existing systems, Google Spreadsheets, and other tools. Select the AI engine that best suits your use case. Each one offers a set of tools to assist creating datasets and fine-tuning models. Upload text data in various file formats and annotate labels using our built-in AI-assisted data labeling tool.
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    LLaMA-Factory

    LLaMA-Factory

    hoshi-hiyouga

    ​LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.
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    Gradient

    Gradient

    Gradient

    Fine-tune and get completions on private LLMs with a simple web API. No infrastructure is needed. Build private, SOC2-compliant AI applications instantly. Personalize models to your use case easily with our developer platform. Simply define the data you want to teach it and pick the base model - we take care of the rest. Put private LLMs into applications with a single API call, no more dealing with deployment, orchestration, or infrastructure hassles. The most powerful OSS model available—highly generalized capabilities with amazing narrative and reasoning capabilities. Harness a fully unlocked LLM to build the highest quality internal automation systems for your company.
    Starting Price: $0.0005 per 1,000 tokens
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    Bakery

    Bakery

    Bakery

    Easily fine-tune & monetize your AI models with one click. For AI startups, ML engineers, and researchers. Bakery is a platform that enables AI startups, machine learning engineers, and researchers to fine-tune and monetize AI models with ease. Users can create or upload datasets, adjust model settings, and publish their models on the marketplace. The platform supports various model types and provides access to community-driven datasets for project development. Bakery's fine-tuning process is streamlined, allowing users to build, test, and deploy models efficiently. The platform integrates with tools like Hugging Face and supports decentralized storage solutions, ensuring flexibility and scalability for diverse AI projects. The bakery empowers contributors to collaboratively build AI models without exposing model parameters or data to one another. It ensures proper attribution and fair revenue distribution to all contributors.
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    Intel Integrated Density Optimized Servers

    Intel Integrated Density Optimized Servers

    International Computer Concepts

    Intel integrated high-density servers designed for hyperscale and HPC workloads, built with the understanding of power and space limitations. With the recent launch of Intel's 4th generation Xeon Scalable processors (codenamed Sapphire Rapids), Intel is charting a new server architecture path for the future that will have a huge impact on the CPU industry. Sapphire Rapids includes 52 new product SKUs aimed at vertical-specific server workloads, including AI, 5G, Big Data, and HPC. Talk to us today about your CPU requirements.
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    Together AI

    Together AI

    Together AI

    Whether prompt engineering, fine-tuning, or training, we are ready to meet your business demands. Easily integrate your new model into your production application using the Together Inference API. With the fastest performance available and elastic scaling, Together AI is built to scale with your needs as you grow. Inspect how models are trained and what data is used to increase accuracy and minimize risks. You own the model you fine-tune, not your cloud provider. Change providers for whatever reason, including price changes. Maintain complete data privacy by storing data locally or in our secure cloud.
    Starting Price: $0.0001 per 1k tokens