Enterprise Memory Resilience for Consumer GPUs

Detect and isolate silently corrupting VRAM in real time. Prevent NaN weights, black render frames, and unlogged batch crashes across your entire workstation fleet without expensive hardware upgrades

Takes 60 seconds · Free · No signup
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Render Failures Prevented
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GPU Compute Overhead
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Diagnostic Hours Saved / Mo
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Hardware Lifespan Extension

Turn Commodity Silicon Into Bulletproof Infrastructure

Consumer GPUs lack hardware ECC and page retirement. Bitfence adds the missing enterprise safety layer directly into your driver pipeline

Virtual Page Retirement
Isolate bad memory sectors instantly without crashing running workloads
Hooks directly into memory allocation tables to blacklist degraded addresses
Zero manual restarts required when micro-faults are identified
Preserves full GPU speed across all healthy memory sectors
Silent Corruption Interception
Catch bitflips before they ruin 12-hour batch runs and model checkpoints
Continuous micro-integrity probes operating below 0.4% compute overhead
Prevents NaN loss spikes during overnight model fine-tuning runs
Eliminates mystery black frames in multi-pass 3D renders
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Fleet Health Intelligence
Know exactly which cards are degrading weeks before complete failure
Centralized dashboard across all local workstations and render nodes
Predictive hardware degradation scoring for proactive warranty RMAs
Automated alerts sent directly to Discord, Slack, or email
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Use Cases

VFX & 3D Animation Studios +
AI Labs & Fine-Tuning Agencies +
Independent Game Studios +

Simple Deployment in Three Steps

Protect your entire studio hardware footprint in less than 5 minutes

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Step 1: Install the Lightweight Daemon

Deploy our single-line agent across your Windows or Linux workstation nodes.

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Step 2: Automated Baseline & Page Masking

Bitfence profiles existing memory integrity and automatically shields degrading sectors.

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Step 3: Monitor Fleet Telemetry

Track fleet-wide stability and prevent production downtime from your centralized console.

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Almost there

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