Wirkung vs BitsRun
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Wirkung compared with BitsRun
| Detail | 
Wirkung | 
BitsRun |
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| What it does | Everything has an algorithm
| Deploy any open model from Ollama or Hugging Face as a private, OpenAI-compatible API
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Paid
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| Pricing | Not given
| Pay as you go: $0/month with prepaid credits from $10. Pro: $29/month with $29 monthly credits. Business: $299/month with $299 monthly credits. GPU pricing: NVIDIA L4 $0.95/hour ($0.000264/second, $1,180/month always-on); NVIDIA L40S $3.20/hour ($0.000889/second, $3,974/month always-on); 4x NVIDIA L
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| Key features | - Constant-state attention: models serve any context length from the same memory per request
- HCGM: models run from disk storage instead of memory
- M-Rail: context processed by a model can be reused instantly in future requests
- CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
- Organ grafting: transfer capabilities between models without training
- Personal instruction set (ISA) compiled on device from phone signals
- Population ISA: compile laws from many people without personal records
- Digital twins of customers, fleets, cities or markets
- Results identical across all machines and architectures
- Computation cost follows novelty not data size
| - Deploy models with one command via CLI
- OpenAI and Ollama API compatibility
- Scales to zero with configurable idle timeout (60 seconds to 60 minutes)
- Private endpoints with no prompt logging
- Supports GGUF and safetensors model formats
- Free model storage (10GB to 1TB depending on plan)
- Always-on option for no cold starts
- Batch jobs pricing 30-50% cheaper
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| What makes it different | - Constant memory cost regardless of context length or data size
- Exact reuse: every computed result is kept and reused instantly
- Portable execution with bit-identical results across all hardware
- Models run from storage without retraining or fitting in memory
- Privacy-preserving: raw data never leaves the device
| - No Dockerfile or server management required
- Use your existing OpenAI or Ollama client with one URL change
- Pay only for actual compute seconds used, not monthly subscription
- Cold start time never billed and requests wait instead of failing
- Prompts and outputs never logged or used for training
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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3 details filled in for both companies.
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