Computable vs Loops
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Computable compared with Loops
| Detail | 
Computable | 
Loops |
|---|
| What it does | Open-source price index for GPU compute updated every 15 minutes
| Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Not given
| Not given
|
|---|
| Pricing | Not given
| Not given
|
|---|
| Key features | - Open-source repository with collector and calculation code
- MCP interface for autonomous agents, anonymous and read-only
- Covers H100, H200, B200, and B300 GPU models
- Fully transparent methodology with published parameters
- Verifiable and reproducible calculations from public record
| - forward_backward() operation for computing loss and accumulating gradients
- optim_step() for updating the adapter
- sample() for generating from current or saved policy
- save_state() to save and resume training state
- Tinker API compatibility
- Separate trainer and sampler resources
- Synchronous and asynchronous RL patterns
- Frozen base model weights with LoRA adapter updates
- Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
|
|---|
| What makes it different | - First open-source price index for GPU compute with fully transparent methodology
- Data, method, and code are all public and verifiable
- Resistant to manipulation and outliers through interquantile mean voting
- Fault-tolerant design that maintains integrity when sources fail or vanish
- Updated every 15 minutes with real-time data from published on-demand rates
| - Managed training and sampling infrastructure, no setup required
- Tinker-compatible API for easy migration
- Ready-made SFT and RL recipes through Loops cookbook
- Support for vision-language models
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 16 ● no change since last check | 77 ● no change since last check |
|---|
| Trust Flow (Majestic) | 8 | 13 |
|---|
| Citation Flow (Majestic) | 32 | 43 |
|---|
| Referring domains (Majestic) | 274 | 550 |
|---|
3 details filled in for both companies.
More alternatives to Computable More alternatives to Loops