Open-source AI models are growing more powerful rapidly & GPU networks like @ionet make them accessible at scale. Meet IO Intelligence, a platform providing Vector Database as a Service, 25 open-source AI models, and specialized agents. Check out my interactive dashboard. 👇

1/ @ionet is the largest decentralized GPU network in the market, and the only solution enabling geo-distributed clustering of compute resources with institutional-grade quality & reliability.

2/ $IO is a market-leading solution offering unique benefits, including elastic scaling.

3/ The most disruptive product undoubtedly is IO intelligence, a full-stack solution for AI builders.

4/ Flexible execution, VectorDB as a service, access to leading AI models and templatized AI agents. IO Intelligence offers it all.

5/ Providing access to 25 open-source models, builders have a lot of flexibility to choose the right model for their needs. So how do all these models compare? Let's have a closer look at model performance.

6/ Llama-4-Maverick-17B Llama 4 Maverick, a 17 billion active parameter model with 128 experts, is the best multimodal model in its class, beating GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks. It also achieves comparable results to the new

7/ DeepSeek-R1 DeepSeek AI introduced first-generation reasoning models, trained via large-scale reinforcement learning (RL), demonstrated remarkable performance on reasoning. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.

8/ QwQ-32B Compared with conventional instruction-tuned models, QwQ-32B, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of

9/ Llama-3.3-70B-Instruct Llama 3.3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness

10/ Mistral-Large-Instruct-2411 Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities. It extends Mistral-Large-Instruct-2407 with better Long Context, Function Calling

11/ DeepSeek-R1-Distill-Llama-70B DeepSeek-R1-Distill models are fine-tuned based on open-source models, using samples generated by DeepSeek-R1. This one is fine-tuned Llama 3.3 70B and their configs and tokenizers are slightly changed.

12/ DeepSeek-R1-Distill-Qwen-32B DeepSeek-R1-Distill models are fine-tuned based on open-source models, using samples generated by DeepSeek-R1. This one is fine-tuned Qwen-32 and their configs and tokenizers are slightly changed.

13/ dbrx-instruct DBRX Instruct is a mixture-of-experts (MoE) large language model trained from scratch by Databricks. DBRX Instruct specializes in few-turn interactions.

14/ Ministral-8B-Instruct-2410 The Ministral-8B-Instruct-2410 Language Model is an instruct fine-tuned model significantly outperforming existing models of similar size, released under the Mistral Research License.

15/ Confucius-o1-14B Confucius-o1-14B is a o1-like reasoning model developed by the NetEase Youdao Team, it can be easily deployed on a single GPU without quantization. This model is based on the Qwen2.5-14B-Instruct model and adopts a two-stage learning strategy, enabling the

16/ More info on performance scoring and benchmarks.

17/ Aside leading open-source models, IO intelligence also offers API access to pre-built AI agents specialized on specific tasks.

18/ They can seamlessly be integrated into workflows, increasing efficiency through AI-powered automation.

19/ Additionally, they can be combined for more complex workflows.

20/ Check out the @ionet docs to experiment with their agents yourself. I might drop a demo on that shortly as well, stay tuned.

21/ If you want to check out the beta version of the dashboard (hosted by my fren Claude), check out the link below. claude.site/artifacts/80a9ea94...

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