Together AI announced the release of its new Inference Engine 2.0, which includes Turbo and Lite endpoints. This new inference stack is designed to deliver significantly faster decoding throughput and superior performance compared to existing solutions.
Performance Improvement
According to together.ai, Together Inference Engine 2.0 delivers 4x faster decoding throughput than open source vLLM and 1.3x to 2.5x faster than commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI. The engine achieves over 400 tokens per second on Meta Llama 3 8B thanks to advances in FlashAttention-3, faster GEMM and MHA kernels, quality-preserving quantization, and speculative decoding.
New Turbo and Lite endpoints
Together AI introduces new Turbo and Lite endpoints starting with Meta Llama 3. These endpoints balance performance, quality, and cost, allowing enterprises to avoid compromises. Together Turbo closely matches the quality of full-precision FP16 models, while Together Lite provides the most cost-effective and scalable Llama 3 models available.
Turbo endpoints provide fast FP8 performance while maintaining quality, are consistent with the FP16 reference model, and outperform other FP8 solutions on AlpacaEval 2.0. These Turbo endpoints are priced at $0.88 per million tokens for 70B and $0.18 per million for 8B, making them significantly cheaper than GPT-4o.
Together Lite endpoints provide high-quality AI models at a low cost using INT4 quantization, and for Llama 3 8B Lite, it is 6x cheaper than GPT-4o-mini at $0.10 per million tokens.
Adoption and Approval
More than 100,000 developers and companies, including Zomato, DuckDuckGo, and The Washington Post, are already leveraging the Together Inference Engine for their generative AI applications. Rinshul Chandra, COO of Food Delivery at Zomato, praised the engine for its high quality, speed, and accuracy.
Technological innovation
Together Inference Engine 2.0 incorporates several technological advancements, including FlashAttention-3, custom speculators, and quality-preserving quantization techniques. These innovations contribute to the engine’s superior performance and cost-effectiveness.
Future outlook
Together AI plans to continue pushing the boundaries of AI acceleration. The company aims to ensure that the Together Inference Engine remains at the forefront of AI technology by expanding support for new models, technologies, and kernels.
Turbo and Lite endpoints for the Llama 3 model are available starting today, with plans to expand to other models soon. Visit the Together AI pricing page for more information.
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