NVIDIA RTX

Perplexity Portable Workload Simulator

RTX 24GB VRAM ACTIVE
Inference Routing Controls Strict Local First
Task Presets
Cloud Fallback Allowed
Offload overflow tokens if VRAM saturates
Hardware Basis: Windows on GeForce RTX 3090/4090 and RTX 5000/6000 Ada with 24GB+ VRAM executes 8B-70B quant models fully in-device, preventing telemetry exposure while running Perplexity Portable.
Local Handled Tokens
12,400
100% On-Device
Cloud Offloaded Tokens
0
0% Network egress
Peak VRAM Usage
21.4 GB
2.6 GB Headroom
Est. Latency (TTFT)
420 ms
~88 tok/s tensor speed
NVIDIA Tensor Execution Pipeline 100% Local Device Private
VRAM Allocation 21.4 / 24.0 GB
Local KV Cache & Weights
Cloud Overflow
Privacy Boundary Guard 0 Leaks Detected
Local context isolation is verified. Cryptographic memory rings on Windows GeForce RTX guarantee zero plain-text transit.
Local PCIe Bus Memory Ring 0 Isolated
STREAM LOG [Transformers.js / WebLLM Prim] COMPUTE: GeForce RTX @ 24GB
[00.00s] > Context Ingest: 12,400 tokens parsed from local workspace.
[00.12s] > Allocation: Model weights (14.2 GB) + KV-Cache (7.2 GB) = 21.4 GB VRAM.
[00.28s] > Verification: Strict Local-First active. 0 external calls issued.
[00.42s] > Generation: Synthesizing response with 100% on-device Tensor Cores...
Audit Report Summary
Metric Field Simulated Value Constraint / Boundary
Workload Type sensitive_legal_code_review User Scenario
Privacy Score 100% Local Device Private Zero Egress Enforced
VRAM Peak Usage 21.4 GB 24.0 GB Hardware Limit
Local Handled Tokens 12400 100.0% of Total
Cloud Offloaded Tokens 0 0.0% Overflow
Estimated Latency (TTFT) 420 ms Local RTX Tensor Pipeline
Sensitive Data Leaks 0 Safe Isolation
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