AMD has released the new ROCm 6.3 version which introduces several new features and optimizations, including SGLang integration for accelerated AI inferencing, a re-engineered FlashAttention-2 for optimized AI training and inference, the introduction of multi-node Fast Fourier Transform (FFT), new Fortran compiler, and enhanced computer vision libraries like rocDecode, rocJPEG, and rocAL.

According to AMD, the SGLang, a runtime that is now supported by ROCm 6.3, is purpose-built for optimizing inference on models like LLMs and VLMs on AMD Instinct GPUs, and promises 6x higher throughput and much easier usage thanks to Python-integrated and pre-configured ROCm Docker containers. In addition, the AMD ROCm 6.3 also brings further transformer optimizations with FlashAttention-2, which should bring significant improvements in forward and backward pass compared to FlashAttention-1, a whole new AMD Fortran compiler with direct GPU offloading, backward compatibility, and integration with HIP Kernels and ROCm libraries, a whole new multi-node FFT support in rocFFT, which simplifies multi-node scaling and improved scalability, as well as enhanced computer vision libraries, rocDecode, rocJPEG, and rocAL, for AV1 codec support, GPU-accelerated JPEG decoding, and better audio augmentation.

Gainward is thrilled to announce the arrival of the Python III Series, a revolutionary new graphics card series boasting the mighty GeForce RTX 40 SUPER architecture in a remarkably SFF-ready design. The Python III shatters the stereotype that high-end graphics cards require bulky cases. This design packs the power of the GeForce RTX 4080 SUPER, RTX 4070 Ti SUPER, RTX 4070 SUPER into a compact size, measuring just 294 x 116 x 49.5 mm. This makes Python III the perfect choice for gamers and creators who craft powerful Small Form Factor (SFF) PCs.

Building an SFF PC offers multiple benefits. It not only saves valuable space, but also enhances the overall aesthetic of your setup. The portability of SFF PCs allows you to take your gaming and creative endeavors on the go. Most importantly, you can enjoy all these benefits without compromising performance. The Python III series features a triple-fan cooling system specifically designed for optimal performance within the SFF form factor. This ensures your graphics card remains cool and delivers peak performance even during demanding tasks. With its unmatched performance in a remarkably SFF-ready form factor, the Python III empowers users to build the ultimate compact PC without sacrificing power.

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Learn Python programming with this $39.97 (reg. $196) e-learning bundle with 14 courses and 113 hours of content. That's less than $4 per course. Beginning April 1st Through April 7th.

Today, Lenovo announced a strategic partnership with Anaconda Inc., the leading provider of the world's most popular artificial intelligence (AI), machine learning (ML) and data science platform, to empower Lenovo's high performance data science workstations. The partnership will couple Lenovo's trusted ThinkStation and ThinkPad workstation product portfolio heritage and leadership with Anaconda's enterprise strengths for open-source leadership, security, and reliability.

The rapidly evolving world of artificial intelligence, deep learning and generative AI is opening up new opportunities for businesses and data scientists. Much of the AI innovation taking place today is driven by open-source software and cloud-based solutions, with Python being a leading software language for AI applications. However, the data security risks associated with utilizing open-source software at an enterprise level, privacy concerns and often prohibitive cost of cloud-based AI solutions, is causing many organizations to rethink their approach to investment in AI development. With Intel -powered Lenovo workstations architected with the latest generations of professional NVIDIA GPUs built for large-language model fine-tuning, and the Anaconda Navigator's ability to enable businesses to leverage open-source and AI with enhanced security, scale, and governance mechanisms in place, the partnership allows data scientists to create and deploy AI solutions with first class hardware and enterprise-grade AI software support within a more manageable investment framework.

Microsoft today announced that Python integration is happening, and it is coming to the latest Excel version. Through a new partnership with Anaconda, Excel will natively support executing Python code and accessing popular Python data science libraries like Pandas, Matplotlib, and Statsmodels. This integration will empower Excel users to leverage the full capabilities of Python for data transformation, analysis, and visualization without switching between separate tools. The Python integration will be available starting today in preview form for Microsoft 365 Insider beta channel members. It is being added as part of Excel's Power Query data preparation feature.

To access it, Insiders must install the latest Excel preview build, then look under the Formulas tab for the new "Insert Python" option. This will allow them to write and execute Python scripts directly in Excel worksheets. The limited-time integration preview will revert to reduced functionality once it expires. At that point, users must purchase a license to regain full access. This reflects Microsoft's strategic move to position Python as an alternative to VBA for programming and automation in Excel. With this new level of Python integration, Excel continues to evolve as a versatile hub for data analysis tasks, reducing the need to switch between separate Python and Excel workflows. Anaconda provides documentation and training resources to help users take full advantage of the new capabilities.Update 10:58 UTC: Just to clarify: only the "Office 365" cloud version receives Python integration—no improvements for the classic offline version.