Confidential AI
Private AI inference and confidential GPU computing infrastructure
- Upvotes
- 0
- DR
- 12 +1 (up) since last check
- Followers
- 0
Confidential AI provides private AI inference and confidential GPU VMs using trusted execution environments. Customers can use their hosted infrastructure or
About Confidential AI
Confidential AI sells end-to-end private inference and confidential GPU VMs. The company offers three main products: Confidential Inference (hosted, OpenAI-compatible endpoint for LLM inference), Confidential VMs (rental of GPU-powered confidential VMs by the hour), and a licensed software stack for deploying confidential computing on your own infrastructure. All services run AI workloads inside trusted execution environments (TEEs) with hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs in confidential computing mode. Prompts, data and model weights remain encrypted and invisible to the operator.
- trusted execution environment
- confidential computing
- encrypted inference
- attestation
- private inference
- open-weight-models
Features worth knowing
- OpenAI-compatible endpoint for private LLM inference
- Hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs
- Client attestation verification before sending requests
- Support for multiple open-weight models including DeepSeek, Kimi, GLM, Qwen
- Confidential Kubernetes for data center scale deployments
- Confidential training and fine-tuning on licensed stack
- Root access over SSH to confidential VMs
- Encrypted GPU communications with NVLink encryption on B200 and B300
- Confidential agents runtime support
- Prompt caching with cached input billing
Pricing
Pricing model: Paid
Confidential Inference: DeepSeek V4.1 Flash $0.30 input and $1.20 output per 1M tokens; Kimi K3 $3.00 input and $15.00 output per 1M tokens; GLM 5.3 $1.40 input and $4.40 output per 1M tokens; Qwen3.8 27B $0.30 input and $1.80 output per 1M tokens. Confidential VMs: B300 at $7.50 per GPU-hour, B200
Confidential AI metrics
| Metric | Value |
|---|---|
| Domain Rating | 12 +1 (up) since last check |
| Trust Flow | 7 no change since last check |
| Citation Flow | 26 no change since last check |
| Referring domains | 36 no change since last check |
| External backlinks | 176 no change since last check |
Ahrefs Domain Rating scanned 1 Nov 2026, updated 31 Oct 2026. Main topic: Computers/Security (7). Majestic scanned 29 Oct 2026, updated 29 Oct 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Confidential AI domain facts
Reveal the domain facts
| Domain age | 6 years |
|---|---|
| Registered | |
| Expires | |
| Registrar | NameCheap, Inc. |
| DNSSEC | Not signed |
Confidential AI launch results
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 11 to 12 +1 (up) since launch 29 Oct 2026, then 31 Oct 2026 |
| Referring domains (Majestic) | 36 first measured 29 Oct 2026 |
Day 3 since launch. Next receipt: day 30, 28 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
Compare and explore
FAQ
- What is Confidential AI?
- Licensed software and cloud services for running AI infrastructure on trusted execution environments (TEEs): hardware-encrypted VMs on Intel TDX or AMD SEV-SNP, with NVIDIA GPUs in Confidential Computing mode. Confidential AI sells Confidential Inference (hosted, OpenAI-compatible), Confidential VMs (rented by the GPU-hour), and the licensed stack for your own GPUs. In every case, your client verifies the attestation before it sends anything.
- What does it cost?
- Confidential Inference is metered per token: DeepSeek V4.1 Flash is $0.30 input and $1.20 output per 1M tokens. Confidential VMs rent by the GPU-hour: B300 at $7.50 per GPU-hour, B200 at $6.50. Licensed deployments are per GPU per year, from $2,789.
- How does Confidential AI compare to AWS Bedrock and Azure?
- Bedrock's zero retention mode has abuse detection exceptions, and Azure Foundry stores flagged prompts and completions for human review by authorized Microsoft employees unless you are approved for modified abuse monitoring. Confidential Inference rests on an attestation your client verifies before sending anything: the operator cannot read memory in use in the first place. The tradeoff is model choice: Bedrock and Azure serve closed frontier models, while Confidential AI serves open-weight models only.
- Can I serve my own model weights privately?
- Yes, on Confidential Inference or on the licensed stack. Weights run inside the TEE: the operator cannot read them, and downstream clients verify the exact model before the first token. Model owners and their users are both protected.
- Can I train or fine-tune privately?
- Yes, on the licensed stack. AI Workload Services runs training and fine-tuning inside confidential VMs on Intel TDX or AMD SEV-SNP, with NVIDIA GPUs in Confidential Computing mode. Training data and checkpoints stay encrypted in use.
Leave a review for Confidential AI
Nobody has reviewed Confidential AI yet. Start things off.
A review is always free and can never be paid for. Go to the reviews and discussion
Reviews and chat · Product news · Send it on · Run this company? Claim it here · Report it
Confidential AI has a free listing. The owner can unlock the full profile with a paid launch for $5:
- Founder story (locked)
- Milestones (locked)
- Demo video (locked)
- Dofollow website link (locked)
Makers
- Ansgar GrunseidCofounder & CEO
- Amean AsadCofounder & CTO
Alternatives to Confidential AI
Onde Inference
Private AI inference for the enterprise
AI inference & GPU cloud0 votes. Log in to add your vote for Onde InferenceComputable
Open-source price index for GPU compute updated every 15 minutes
AI inference & GPU cloud0 votes. Log in to add your vote for ComputableMaritime
Cloud computers for AI agents, billed per second
AI inference & GPU cloud0 votes. Log in to add your vote for MaritimeIQ Routing
See and control your team's AI use
AI inference & GPU cloud0 votes. Log in to add your vote for IQ Routing
