General Compute

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World's fastest AI inference provider powered by purpose-built ASICs. General Compute is a high-performance AI inference infrastructure provider built on purpose-built ASICs instead of traditional GPUs. Designed specifically for running large language models and machine learning workloads, it offers ultra-fast inference speeds reaching up to 1,000 tokens per second, sub-millisecond Time to First Token (TTFT), and high throughput. It provides an OpenAI-compatible REST API, allowing developers to seamlessly swap their inference provider by simply changing the base URL and API key. Additionally, the platform operates on highly energy-efficient, air-cooled hardware that significantly reduces infrastructure power consumption and operational costs compared to standard GPU cloud environments.

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Key Features AI

Core Features
Purpose-built ASIC AI accelerators optimized exclusively for inference
Ultra-high throughput achieving up to 1,000 tokens per second
Sub-millisecond Time to First Token (TTFT)
OpenAI-compatible REST API for drop-in replacement
Energy-efficient architecture consuming 17 kW per rack with standard air cooling
Custom deployments featuring dedicated infrastructure and guaranteed SLAs
Advantages
Extremely fast inference up to 7x faster than traditional GPU infrastructure
Seamless integration using existing OpenAI code structures with a simple URL swap
Massively reduced energy usage and power costs compared to NVIDIA GPU clouds
Generous $200 free credit allowance upon registration
Air-cooled infrastructure eliminates liquid cooling overhead costs
缺点:Hardware is specialized for inference and not built for training machine learning models
缺点:Performance and token throughput statistics vary based on specific models and geographic regions

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