Code Faster AI with Intel’s latest Dev Tools
News|by Gabrielle Alvear|22 August 2024
The Fast Path to Production-Ready AI
With the release of the 2024.2 Intel® Software Development Tools, developers can now code faster and more easily deliver high-performance AI applications and HPC solutions. This latest release promises faster time-to-solution, increased hardware choice, and improved reliability.
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The tools are based on open standards and offer broad coverage for C++, OpenMP, SYCL, Fortran, and Python. This ensures that developers have the flexibility and support they need to create cutting-edge applications.
New Hardware and Services in Intel® Tiber™ Developer Cloud
For those developing and deploying AI models, applications, and workloads, the Intel® Tiber™ Developer Cloud offers new hardware and services. Here are three key benefits:
Faster, More Responsive AI
- Achieve up to 2x higher GenAI performance on upcoming Intel® Xeon® 6 processors (P-cores) with oneDNN, Intel-optimised AI frameworks such as PyTorch*, and Intel® AMX1.
- Experience up to 1.6x better performance for workloads including analytics and media with Xeon 6 E-cores.
- Improved LLM inference throughput and scalability on AI PCs, including upcoming client processors (codenamed Lunar Lake), offering 3.5x AI throughput over the previous generation.
- Support for 500+ models such as Llama 3.1 and Phi-3.
- Deploy and scale production AI on a managed, cost-efficient infrastructure with Intel Tiber Developer Cloud.
Greater Choice and Control
- Maximise performance for AI and HPC workloads on all Intel CPUs and GPUs through continued upstream optimisations to industry-standard AI frameworks.
- Run and deploy PyTorch 2.4 on Intel GPUs with minimal coding efforts.
- Expand multivendor accelerator choices with the latest oneAPI Construction Kit, supporting RISC-V host.
- Increase application efficiency and control through optimisations in oneMKL, oneTBB, and oneDPL, and enhanced SYCL Graph capabilities in Intel® oneAPI DPC++/C++ Compiler.
- Broad tools support for Xeon 6 (E-cores and upcoming P-cores) and Lunar Lake processors for accelerating AI, technical, enterprise, and graphics compute workloads.
Simplified Code Optimisation
- Speed up AI training and inference performance with Intel® VTune™ Profiler’s platform-aware optimisations, wider framework, and new hardware support for upcoming codename Grand Ridge processors.
- For easier CUDA* code porting to SYCL*, automatically migrate 100+ more CUDA APIs with the Intel® DPC++ Compatibility Tool.
- Pinpoint inconsistencies in CUDA-to-SYCL code migration using CodePin instrumentation.
Build and Deploy AI Solutions at Scale
Develop and deploy AI models, applications, and production workloads on the latest Intel architecture using an open software stack built on oneAPI. This stack includes popular foundational models and optimised tools and frameworks.
New hardware and services access:
- Virtual machines with Intel® Max Series GPUs
- GenAI Jupyter notebooks with Intel® Gaudi® 2 accelerators
- Intel® Kubernetes Service with container deployment via K8s APIs
- Intel Xeon 6 pre-production systems in the preview environment
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