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AI, startups, tech and digital transformation — Kazakhstan & the world
On March 16, 2026, AWS announced the deployment of Cerebras CS-3 in Bedrock, combining Trainium for prefill with WSE for decoding. This architecture radically increases inference performance for businesses. This is critical as companies transition to real-time AI analytics and ML models. Investments in such tools directly impact competitiveness in 2026.
The release of GPT-5 changes the landscape of data science and machine learning tools. The model has received specialized modules for working with time series, predictive analytics, and automating ETL processes. This is especially important for companies looking for affordable alternatives to expensive analytics solutions.
Autoscience is launching a platform with superhuman AI scientists who continuously experiment to create state-of-the-art models. The first application is in finance, manufacturing, and fraud detection for Fortune 500 companies. Today's launch changes the rules: businesses gain an advantage without hiring researchers. The investment round was led by General Catalyst with participation from Toyota Ventures and Perplexity Fund.
The platform allows enterprises to train domain-specific models without relying on external providers. The launch of Mistral Small 4 enhances the ecosystem: 119B parameters, multimodality, open-source code. For businesses, this means data control and reduced AI costs. Today's news changes the rules of the game in MLaaS with a CAGR of 19.5% to $3.4 billion.
AWS has announced the deployment of specialized Cerebras CS-3 systems through the AWS Bedrock service, enabling record-breaking AI inference speed. The new architecture uses AWS Trainium for preprocessing and Cerebras WSE for decoding, providing a fivefold increase in token throughput. This solution is critical for companies scaling AI applications in production.
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