# Synor Compute SDKs

Access distributed heterogeneous compute resources (CPU, GPU, TPU, NPU, LPU, FPGA, DSP, WebGPU, WASM) at 90% cost reduction compared to traditional cloud.

## Available SDKs

| Language | Package | Status |
|----------|---------|--------|
| [JavaScript/TypeScript](./js) | `synor-compute` | Production |
| [Python](./python) | `synor-compute` | Production |
| [Go](./go) | `github.com/synor/compute-sdk-go` | Production |
| [Flutter/Dart](./flutter) | `synor_compute` | Production |
| [Java](./java) | `io.synor:compute-sdk` | Production |
| [Kotlin](./kotlin) | `io.synor:compute-sdk-kotlin` | Production |
| [Swift](./swift) | `SynorCompute` | Production |
| [Rust](./rust) | `synor-compute` | Production |
| [C](./c) | `libsynor-compute` | Production |
| [C++](./cpp) | `synor-compute` | Production |
| [C#/.NET](./csharp) | `SynorCompute` | Production |
| [Ruby](./ruby) | `synor_compute` | Production |

## Features

- **Matrix Operations**: MatMul, Conv2D, Pooling, BatchNorm
- **AI/ML**: Flash Attention, FFT, Inference (LLMs, Vision, Embeddings)
- **Multi-Precision**: FP64, FP32, FP16, BF16, INT8, INT4
- **Automatic Routing**: Cost, Speed, Energy, or Balanced optimization
- **Streaming**: SSE-based streaming for LLM inference
- **Job Management**: Async job submission with status polling

## Quick Start

### JavaScript/TypeScript

```typescript
import { SynorCompute } from 'synor-compute';

const client = new SynorCompute('your-api-key');

// Matrix multiplication
const result = await client.matmul(a, b, {
  precision: 'fp16',
  processor: 'gpu'
});

// LLM inference with streaming
for await (const chunk of client.inferenceStream('llama-3-70b', prompt)) {
  process.stdout.write(chunk);
}
```

### Python

```python
from synor_compute import SynorCompute, Tensor

client = SynorCompute('your-api-key')

# Matrix multiplication
a = Tensor.random((512, 512))
b = Tensor.random((512, 512))
result = await client.matmul(a, b, precision='fp16', processor='gpu')

# LLM inference with streaming
async for chunk in client.inference_stream('llama-3-70b', prompt):
    print(chunk, end='')
```

### Go

```go
import "github.com/synor/compute-sdk-go"

client := synor.NewClient("your-api-key")

// Matrix multiplication
result, err := client.MatMul(ctx, a, b, synor.WithPrecision(synor.FP16))

// LLM inference
response, err := client.Inference(ctx, "llama-3-70b", prompt)
```

### Rust

```rust
use synor_compute::{SynorCompute, Tensor, Precision, ProcessorType};

let client = SynorCompute::new("your-api-key");

// Matrix multiplication
let result = client.matmul(&a, &b)
    .precision(Precision::FP16)
    .processor(ProcessorType::GPU)
    .send()
    .await?;

// LLM inference with streaming
let mut stream = client.inference_stream("llama-3-70b", prompt).await?;
while let Some(token) = stream.next().await {
    print!("{}", token?);
}
```

## API Endpoints

All SDKs connect to the Synor Compute API:

- **Production**: `https://api.synor.io/compute/v1`
- **Local (Docker)**: `http://localhost:17250`

## Processor Types

| Type | Description |
|------|-------------|
| `cpu` | General-purpose CPU computation |
| `gpu` | NVIDIA/AMD GPU acceleration |
| `tpu` | Google TPU for ML workloads |
| `npu` | Neural Processing Units |
| `lpu` | Language Processing Units (Groq) |
| `fpga` | Field-Programmable Gate Arrays |
| `dsp` | Digital Signal Processors |
| `webgpu` | Browser-based GPU |
| `wasm` | WebAssembly runtime |
| `auto` | Automatic selection (default) |

## Precision Levels

| Level | Bits | Use Case |
|-------|------|----------|
| `fp64` | 64 | Scientific computing |
| `fp32` | 32 | General purpose (default) |
| `fp16` | 16 | AI/ML training |
| `bf16` | 16 | Large language models |
| `int8` | 8 | Quantized inference |
| `int4` | 4 | Extreme quantization |

## Balancing Strategies

| Strategy | Priority |
|----------|----------|
| `speed` | Minimize latency |
| `cost` | Minimize cost |
| `energy` | Minimize carbon footprint |
| `latency` | Real-time requirements |
| `balanced` | Optimal tradeoff (default) |

## Local Development with Docker

Deploy the compute infrastructure locally:

```bash
cd /path/to/Blockchain.cc
docker-compose -f docker-compose.compute.yml up -d
```

Services available:
- **Compute API**: `http://localhost:17250`
- **CPU Workers**: `http://localhost:17260-17261`
- **WASM Worker**: `http://localhost:17262`
- **Spot Market**: `http://localhost:17270`
- **Redis**: `localhost:17280`
- **Prometheus**: `http://localhost:17290`

## License

MIT License - see individual SDK packages for details.