Confidential AI vs Onde Inference

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Confidential AI compared with Onde Inference
Detail	Confidential AI	Onde Inference
What it does	Private AI inference and confidential GPU computing infrastructure	Private AI inference for the enterprise
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	SE
Pricing model	Paid	Freemium
Pricing	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	SDK: Free for building. Device plans: Garage $0/mo (up to 5 active devices), Pro $49/mo + $0.05 per active device, Scale custom pricing. Onde Cloud: Per million tokens ranging from $0.12 to $6.00 for input tokens, $0.005 to $1.20 for cached input, and $0.33 to $30.00 for output tokens depending on t
Key features	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	Native SDKs for Swift, Rust, Flutter, React Native with single unified API 85ms first-token latency on Apple Silicon Zero server cost for on-device inference No data egress - inference stays on-device GDPR and HIPAA compliant by architecture OpenAI-compatible Onde Cloud API Global state sync between device and cloud AES-256 encrypted cloud burst Data never trained on - no model fine-tuning on customer data
What makes it different	Prompts and model weights verified by clients with cryptographic attestation before any data is sent Operator-blind inference: data remains unreadable to the company and hosting provider Flexible deployment: choice of hosted cloud, rented VMs, or licensed stack on own infrastructure Open-weight models only, no closed-source frontier models Full cryptographic verification stack including open-source tools	Runs entirely on-device with zero latency round-trips Built with vertical integration from device runtime to cloud infrastructure Same unified API across four language platforms with no platform abstraction tax Compliant by architecture - data residency follows the device Free tier for development with full SDK access
Community votes	0	0
DR (Domain Rating by Ahrefs)	12 +1 (up) since last check	8 no change since last check
Trust Flow (Majestic)	7	2
Citation Flow (Majestic)	26	26
Referring domains (Majestic)	36	29

6 details filled in for both companies.

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