Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
Private AI inference and confidential GPU computing infrastructure
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Free
Paid
Pricing
Not given
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
Key features
172 real home AI builds with measured performance data
Performance metrics for 31 current LLM models
Search by GPU, VRAM, budget and target model
VRAM and KV cache calculator
All results linked to original public sources
Comparison guides and hardware recommendations
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
What makes it different
Real measured performance data from 172 actual home AI rigs, not marketing claims
Every benchmark result linked to its original public source for verification
Open data under Creative Commons license
Practical guides for choosing AI hardware by budget and model
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
RigBase
Confidential AI