<H1> together. </H1> |
<H2> 01 Together INFERENCE </H2> |
<H2> 02 Together FINE-TUNING </H2> |
<H2> 03 Together gpu clusters </H2> |
<H2> 04 Together custom models </H2> |
<H2> THE FASTEST CLOUD FOR GEN AI. </H2> |
<H2> BUILT ON LEADING AI RESEARCH. </H2> |
<H2> Innovations </H2> |
<H2> LLaMA-2 Chat </H2> |
<H2> Mixtral Instruct </H2> |
<H2> Striped Hyena Nous </H2> |
<H2> Mistral Instruct </H2> |
<H2> 01-AI Yi </H2> |
<H2> UAE-Large v1 </H2> |
<H2> Stable Diffusion XL 1.0 </H2> |
<H2> M2-BERT 80M 32K Retrieval </H2> |
<H2> Code Llama Instruct </H2> |
<H2> RedPajama-INCITE Instruct </H2> |
<H2> Vicuna v1.5 16K </H2> |
<H2> Nous Capybara </H2> |
<H2> Nexus Raven </H2> |
<H2> Nous Hermes Llama-2 </H2> |
<H2> Wizard LM </H2> |
<H2> WizardCoder Python v1.0 </H2> |
<H2> M2-BERT 80M 8K Retrieval </H2> |
<H2> M2-BERT 80M 2K Retrieval </H2> |
<H2> BGE-Large-EN v1.5 </H2> |
<H2> LLaMA-2-7B-32K-Instruct </H2> |
<H2> BGE-Base-EN v1.5 </H2> |
<H2> Mistral </H2> |
<H2> Code Llama Python </H2> |
<H2> Stable Diffusion 2.1 </H2> |
<H2> Vicuna v1.5 </H2> |
<H2> Phind Code LLaMA v2 </H2> |
<H2> Realistic Vision 3.0 </H2> |
<H2> LLaMA-2 </H2> |
<H2> Code Llama </H2> |
<H2> LLaMA-2-32K </H2> |
<H2> Chronos Hermes </H2> |
<H2> Platypus2 Instruct </H2> |
<H2> WizardLM v1.0 (70B) </H2> |
<H2> MythoMax-L2 </H2> |
<H2> Qwen-Chat </H2> |
<H2> Qwen </H2> |
<H2> RedPajama-INCITE Chat </H2> |
<H2> RedPajama-INCITE </H2> |
<H2> BERT </H2> |
<H2> Sentence-BERT </H2> |
<H2> GPT-JT-Moderation </H2> |
<H2> GPT-JT </H2> |
<H2> GPT-NeoXT-Chat-Base </H2> |
<H2> LLaMA </H2> |
<H2> Falcon Instruct </H2> |
<H2> Falcon </H2> |
<H2> Openjourney v4 </H2> |
<H2> Pythia-Chat-Base </H2> |
<H2> Analog Diffusion </H2> |
<H2> Together Inference </H2> |
<H2> Together Fine-tuning </H2> |
<H2> Need a cluster of H100s on Infiniband today? </H2> |
<H2> Together GPU Clusters </H2> |
<H2> Together Custom Models </H2> |
<H2> We believe the future of AI is </H2> |
<H2> Open Source </H2> |
<H2> Build, deploy, and scale. All in a single platform. </H2> |
<H2> Customer Stories </H2> |
<H2> Subscribe to newsletter </H2> |
<H3> Cocktail SGD </H3> |
<H3> FlashAttention 2 </H3> |
<H3> Sub-quadratic model architectures </H3> |
<H3> RedPajama </H3> |
<H3> speed relative to tgi, vllm orother inference services </H3> |
<H3> llama-2 70b </H3> |
<H3> cost relative to gpt-3.5-turbo </H3> |
<H3> 01 </H3> |
<H3> 02 </H3> |
<H3> 03 </H3> |
<H3> training </H3> |
<H3> network c0mmunication </H3> |
<H3> relative to aws </H3> |
<H3> 01 Transparency </H3> |
<H3> 02 no lock-in </H3> |
<H3> 03 Privacy </H3> |
<H3> Build </H3> |
<H3> Deploy </H3> |
<H3> Scale </H3> |
<H3> Pika creates the next gen text-to-video models on Together GPU Clusters </H3> |
<H3> Nexusflow uses Together GPU Clusters to build cybersecurity models </H3> |
<H3> Arcee builds domain adaptive language models with Together Custom Models </H3> |
<H4> High end clusters without long-term commits </H4> |
<H4> Clusters from 16 GPUs to 2048 GPUs </H4> |
<H4> Snappy setup. Blazing fast training. </H4> |
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