Confidential AI Description
Confidential AI offers a secure platform for private AI inference, agent environments, and confidential computing solutions tailored for AI laboratories, inference service providers, routers, and organizations that manage sensitive data. Its hosted inference service operates open-weight models within hardware-backed trusted execution environments (TEEs), utilizing technologies such as Intel TDX and AMD SEV-SNP confidential virtual machines, paired with NVIDIA GPUs in a confidential computing configuration. The system ensures that prompts, responses, and workload information remain safeguarded from infrastructure operators, allowing clients to authenticate attestation prior to submitting sensitive information. Users have the flexibility to implement an OpenAI-compatible API to establish inference endpoints and agent workloads, or alternatively, they can acquire the confidential-computing stack for deployment on their own premises, bare metal servers, or across major cloud platforms. This service is particularly beneficial for scenarios that involve serving models while restricting operator access to prompts and model assets, as well as executing sensitive AI workloads in a dedicated confidential computing environment. Additionally, the emphasis on robust security measures fosters trust in the processing of sensitive data, enabling clients to focus on innovation without compromising privacy.
Confidential AI Alternatives
Runpod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, Runpod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, Runpod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
Learn more about Runpod
IONOS offers GPU Servers that deliver a high-performance computing framework aimed at managing tasks that demand significantly more power than standard CPU systems can provide. This infrastructure features top-tier NVIDIA GPUs, including the H100, H200, and L40s, in addition to specialized AI accelerators like Intel Gaudi, facilitating extensive parallel processing for demanding applications. By utilizing GPU-accelerated instances, the cloud infrastructure is enhanced with dedicated graphical processors, enabling virtual machines to execute intricate calculations and handle data-heavy tasks at a much faster rate compared to traditional servers. This solution is especially well-suited for fields such as artificial intelligence, deep learning, and data science, where training models on extensive datasets or executing rapid inference processes is necessary. Furthermore, it accommodates big data analytics, scientific simulations, and visualization tasks, including 3D rendering or modeling, that necessitate substantial computational capacity. As a result, organizations seeking to optimize their processing capabilities for complex workloads can greatly benefit from this advanced infrastructure.
Learn more about IONOS Cloud GPU Servers
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 compute.
Learn more about Compute with Hivenet
Tinfoil
Tinfoil is a highly secure AI platform designed to ensure privacy by implementing zero-trust and zero-data-retention principles, utilizing open-source or customized models within secure hardware enclaves located in the cloud. This innovative approach offers the same data privacy guarantees typically associated with on-premises systems while also providing the flexibility and scalability of cloud solutions. All user interactions and inference tasks are executed within confidential-computing environments, which means that neither Tinfoil nor its cloud provider have access to or the ability to store your data. Tinfoil facilitates a range of functionalities, including private chat, secure data analysis, user-customized fine-tuning, and an inference API that is compatible with OpenAI. It efficiently handles tasks related to AI agents, private content moderation, and proprietary code models. Moreover, Tinfoil enhances user confidence with features such as public verification of enclave attestation, robust measures for "provable zero data access," and seamless integration with leading open-source models, making it a comprehensive solution for data privacy in AI. Ultimately, Tinfoil positions itself as a trustworthy partner in embracing the power of AI while prioritizing user confidentiality.
Learn more about Tinfoil
Pricing
Pricing Starts At:
$0.30 per 1M input tokens
Pricing Information:
Confidential Inference (OpenAI-compatible API, per 1M tokens):
DeepSeek V4.1 Flash (live): $0.30 input, $0.03 cached input, $1.20 output.
Kimi K3 (on request): $3.00 input, $0.30 cached input, $15.00 output.
GLM 5.3 (on request): $1.40 input, $0.26 cached input, $4.40 output.
Qwen3.8 27B (on request): $0.30 input, $0.03 cached input, $1.80 output.
DeepSeek V4 Flash is no longer offered; DeepSeek V4.1 Flash is the current live model.
Confidential GPU VMs (per GPU-hour, confidential computing mode):
NVIDIA B300: $7.50 (available).
NVIDIA B200: $6.50 (available).
NVIDIA H100: $3.25 (on request).
CPU VMs: $0.05 per core-hour plus $0.012 per GB-hour (AMD SEV-SNP and Intel TDX).
Licensed stack (per GPU per year): RTX PRO 6000 $2,789; H100 $3,876; H200 $4,974; B200 $7,625; B300 $9,884. CPU core license $48.85 per core per year. Standard support included; Enterprise support 25% of total license price.
Terms: minimum order $500. 50% on signed order, 50% on completion; monthly in arrears for longer engagements. USD by bank transfer (ACH or international wire). Card payments coming soon.
DeepSeek V4.1 Flash (live): $0.30 input, $0.03 cached input, $1.20 output.
Kimi K3 (on request): $3.00 input, $0.30 cached input, $15.00 output.
GLM 5.3 (on request): $1.40 input, $0.26 cached input, $4.40 output.
Qwen3.8 27B (on request): $0.30 input, $0.03 cached input, $1.80 output.
DeepSeek V4 Flash is no longer offered; DeepSeek V4.1 Flash is the current live model.
Confidential GPU VMs (per GPU-hour, confidential computing mode):
NVIDIA B300: $7.50 (available).
NVIDIA B200: $6.50 (available).
NVIDIA H100: $3.25 (on request).
CPU VMs: $0.05 per core-hour plus $0.012 per GB-hour (AMD SEV-SNP and Intel TDX).
Licensed stack (per GPU per year): RTX PRO 6000 $2,789; H100 $3,876; H200 $4,974; B200 $7,625; B300 $9,884. CPU core license $48.85 per core per year. Standard support included; Enterprise support 25% of total license price.
Terms: minimum order $500. 50% on signed order, 50% on completion; monthly in arrears for longer engagements. USD by bank transfer (ACH or international wire). Card payments coming soon.
Free Trial:
Yes
Company Details
Company:
Confidential AI
Year Founded:
2025
Headquarters:
United States
Website:
confidential.ai
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Product Details
Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Live Training (Online)
In Person
Customer Support
Live Rep (24/7)
Online Support
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