Open beta
Serverless custom model inference with ultra-fast startup
Deploy, manage, and scale any AI model in a private, high-performance environment with transparent, flexible pricing.
100$ in credits included
Unprecedented model load times
Remarkable checkpoint loading speeds for BF16/FP16 models. As we scale, these times will improve further.
| Model | Load Time (Seconds) |
|---|---|
| Qwen3 4B | 0.741 |
| Mistral 7B | 1.296 |
| Qwen3 8B | 1.481 |
| Meta Llama 3.1 8B | 1.481 |
| Mistral-Nemo 12B | 2.222 |
| Qwen3 14B | 2.593 |
| Mistral-Small 3.1 24B | 4.444 |
| Qwen3 32B | 5.926 |
| Meta Llama 3.1 70B | 12.963 |
*SynapsAI Cloud load times (excludes a typical ~3s allocation/warmup required prior to model loading). Actual load times may vary.
The AI infrastructure problem
Traditional GPU serving wastes silicon on idle time, slow cold starts, and memory that never gets used.
“Over the past year, I built this infrastructure focused on reducing model startup latency and making custom model deployment simpler. It started when I needed to deploy a fine-tuned Mistral 7B model and realized existing options were either expensive, difficult to operate, or too slow to start.”
Idle GPU utilization
Dedicated GPUs sit unused between bursts of traffic. You pay for full cards while inference only needs them fraction of the time.
Slow model loading for on-demand tasks
Scaling from zero means waiting on provisioning, checkpoint loads, and warmup before the first request can run — exactly when users expect instant responses.
Unused GPU memory
Reserving an entire GPU for a single model leaves VRAM on the table. Most workloads only need a slice of the hardware they are forced to rent.
We run the hardware layer
You ship the model. We handle the GPU nodes, storage path, and private serving layer beneath it.
- no image pulls
- no container warmup
- no kubernetes to manage
- no VM boot cycles
Built for demanding inference workloads
- Dedicated infrastructure for production-grade model serving
- Private deployment environments with strong operational controls
- Fast, reliable performance for teams shipping serious workloads
- A simple API experience on top of managed infrastructure
The SynapsAI Cloud difference
Managed infrastructure, enterprise security, and economics you can reason about.
Blazing-Fast Deployment
Immediate provisioning on GPU clusters. Full setup handled automatically. A simple API experience on top of managed infrastructure.
Flexible Billing
Choose per-token or hourly. Smart cost controls ensure predictable and optimized spending.
Rapid Model Loading
Our platform achieves remarkable checkpoint loading speeds for any model. As we scale, these times will improve further.
Cost Monitoring
Real-time dashboards show token usage, user-level billing, and project costs.
Beyond LLMs: Versatile Model Support
SynapsAI Cloud hosts a diverse array of AI capabilities, not just Large Language Models.
- Text Classification
- Text-to-Image
- Image-to-Text
- Text-to-Speech
- Speech-to-Text
- Text-to-Video
- Video-to-Text
- Text-to-Audio
- Audio-to-Text
Focus on innovation, not infrastructure
SynapsAI Cloud removes the barriers to deploying private, high-value AI models at scale.