iFlytek launches Spark X1.5 deep reasoning model, achieving 93% efficiency of global rivals with domestic computing. MoE training boosts language understanding and text processing, empowering Chinese developers globally.....
Nvidia and Deutsche Telekom invest €1B in Germany's largest AI data center, operational by Q1 2026, boosting Europe's AI infrastructure and global competitiveness.....
Google has launched the Sun Catcher Project, building an artificial intelligence computing infrastructure outside Earth's atmosphere by using solar-powered satellites equipped with TPU chips. The project aims to use space-based solar energy to power a network of interconnected satellites, redefining space exploration as a new frontier for AI computing.
Amazon and OpenAI signed a $3.8 billion AI computing power cooperation agreement, drawing global attention. The news stimulated the capital market, with Amazon's stock rising more than 5% during trading and reaching a new all-time high, while also boosting stock index futures in Japan and South Korea.
SandboxAQ, which uses AI and advanced computing power to change the world.
Upsonic AI provides powerful computing and management infrastructure that allows developers to seamlessly create AI agents.
AI-powered mini PC, designed for everyday computing needs.
The third-generation commercial AI mobile processor delivers unprecedented AI computing power and multi-day battery life for business users.
openai
$144
Input tokens/M
$576
Output tokens/M
200k
Context Length
xai
$21.6
$108
1M
nvidia
-
128k
reka-ai
mistral
cpatonn
Qwen3-VL-32B-Instruct AWQ - INT4 is a 4-bit quantized version based on the Qwen3-VL-32B-Instruct base model. It uses the AWQ quantization method, significantly reducing storage and computing resource requirements while maintaining performance. This is the most powerful vision-language model in the Qwen series, with comprehensive upgrades in text understanding, visual perception, context length, etc.
QCRI
Fanar-1-9B-Instruct is a powerful Arabic-English large language model developed by the Qatar Computing Research Institute (QCRI). It supports Modern Standard Arabic and multiple Arabic dialects, and is aligned with Islamic values and Arab culture.
modularStarEncoder
ModularStarEncoder-300M is an encoder model fine-tuned on the SynthCoNL dataset based on the ModularStarEncoder-1B pre-trained model. It is specifically designed for code-to-code and text-to-code retrieval tasks. This model uses hierarchical self-distillation technology, allowing users to choose different layer versions according to their computing power.
A mathematical computing service based on the MCP protocol and the SymPy library, providing powerful symbolic computing capabilities, including basic operations, algebraic operations, calculus, equation solving, matrix operations, etc.
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