The World's Fastest
CPU-Based Background Remover
238 Images/Second. 828,000 images for $20. The evolution of Rust Rembg Cloud.
The Hades Colossus Conquest
The Setup: Google Cloud c4d-highcpu-384 (384 vCPUs, 768GB RAM, AMD EPYC)
# The Benchmark Run
Processing 10,000 images...
Real processing time: 42.02 seconds
Images per second: 238.01
Cost per hour: $17.14
Images per dollar: 48,293
The Math: At this rate, we process 828,000 images for $20. Remove.bg charges $0.07 per image at enterprise rates = $58,000 for the same volume.
Result: 2,900x cost reduction. Not a typo. Not marketing fluff. Mathematical reality.
Calculate Your Savings
Enter your monthly image processing volume to see potential savings
Example: 1 Million Images/Month
- Remove.bg Cost:$70,000
- Quantum Vision Cost:$24.15
- Monthly Savings:$69,975.85
- Annual Savings:$839,710
Processing Speed Comparison
- Python rembg:0.2 images/sec
- Remove.bg API:~5 images/sec
- Quantum Vision CPU:238 images/sec
Process 1 million images in 70 minutes instead of 55 hours
The Technology Stack
- • Rust-based core for zero-overhead abstractions
- • SIMD vectorization for parallel pixel processing
- • Work-stealing thread pool for optimal CPU utilization
- • ONNX Runtime for model inference
- • Memory-mapped I/O for minimal latency
- • Custom memory allocator for hot paths
- • Lockless concurrent queues
- • CPU affinity pinning for cache locality
- • Batch processing with prefetching
- • Native AMD EPYC optimizations
Enterprise Deployment Options
Integrate our binary directly into your products. Full source code access available.
- ✓ Perpetual license option
- ✓ White-label ready
- ✓ Technical support included
- ✓ Custom optimizations available
We deploy and manage a private instance within your cloud account.
- ✓ AWS, GCP, Azure support
- ✓ Fully managed service
- ✓ SLA guarantees
- ✓ Auto-scaling included
Our team analyzes your current pipeline and provides optimization recommendations.
- ✓ Current cost analysis
- ✓ Performance benchmarking
- ✓ Migration strategy
- ✓ ROI projections
Average response time: 2 hours during business hours