Synopsys Showcases NVIDIA Partnership Impact and Ecosystem Innovation at GTC 2026
View original at finance.yahoo.comSynopsys Showcases NVIDIA Partnership Impact and Ecosystem Innovation at GTC 2026 Customers across industries are revolutionizing product design and accelerating innovation with NVIDIA-accelerated engineering solutions from Synopsys Key Highlights Synopsys is building an open, secure, hardware accelerated agentic AI st…
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Astera Labs' work demonstrates how cloud technology is transforming innovation across entire industries by enabling instant access to advanced computing tools
60% confidenceTraditional engineering methods can no longer keep pace with the complexity of today's software-defined, intelligent systems
60% confidenceThis advancement enables Honda to continue delivering safer, higher-quality products to customers at appropriate cost, with consideration for the environment
60% confidenceAI and accelerated computing are fundamentally reinventing engineering from how products are designed to how they are built and operated
60% confidenceApplied Materials previously achieved 8X simulation speedup leveraging NVIDIA GPUs compared to multi-core CPUs for multi-nanometer amorphous systems featuring approximately 25,000 atoms
60% confidenceNVIDIA B200 GPU-accelerated computing on AWS has significantly reduced simulation times and enhanced design accuracy, allowing faster delivery of connectivity solutions
60% confidenceTogether with ecosystem partners, Synopsys and NVIDIA are re-engineering how products are designed and developed
60% confidenceAstera Labs achieved 3.5X speedup running Synopsys PrimeSim using B200 GPU accelerated EC2 instances on AWS compared to CPU-only instances
60% confidenceSynopsys' multiphysics simulation is a critical enabler of realistic robotic test benches for practical sim-to-real transfer for real industrial dexterity
60% confidenceSynopsys' multiphysics simulation is a critical enabler of realistic robotic test benches for creating benchmarks and digital twins that make sim-to-real transfer practical for industrial dexterity
60% confidenceAI and accelerated computing are fundamentally reinventing engineering from how products are designed to how they are built and operated
60% confidenceCloud technology is transforming innovation across entire industries by enabling companies to access the most advanced computing tools instantly
60% confidenceCollaboration between Astera Labs, Synopsys, NVIDIA and AWS is transforming ability to design advanced blocks for AI connectivity silicon
60% confidenceSynopsys and NVIDIA are re-engineering how products are designed and developed through co-design of electronics and multiphysics, accelerating compute-intensive workloads and applying digital twin for virtual prototyping
60% confidenceHonda is accelerating migration of CFD simulations from CPUs to GPUs through collaboration with Synopsys to deliver safer, higher-quality products at appropriate cost
60% confidenceModern engineering happens inside simulations and digital twins
60% confidenceCollaboration with Synopsys and NVIDIA allows Applied Materials to significantly reduce simulation time for material behavior at atomic level, enabling faster chip design breakthroughs
60% confidenceHonda achieved 34X faster computation and 38X cost reduction using four GB200 GPUs compared to 1,920 cloud-based CPU cores
60% confidenceThe collaboration between Astera Labs, Synopsys, NVIDIA, and AWS is transforming our ability to design advanced blocks for AI connectivity silicon
60% confidenceTraditional engineering methods can no longer keep pace with the complexity of today's software-defined, intelligent systems
60% confidenceHonda achieved 34X faster computation and 38X cost reduction using four GB200 GPUs compared to 1,920 cloud-based CPU cores
60% confidenceModern engineering happens inside simulations and digital twins
60% confidenceBy harnessing the power of NVIDIA B200 GPU-accelerated computing on AWS, Astera Labs has significantly reduced simulation times and enhanced design accuracy
60% confidenceThis collaboration allows Applied Materials to significantly reduce the time it takes to run simulations of material behavior at the atomic level, enabling the industry to bring chip design breakthroughs to market faster
60% confidenceApplied Materials achieved potential 30X speedup for complex quantum chemistry workloads using QuantumATK with NVIDIA cuEST compared to open-source models running on CPUs
60% confidence
Data points we hold from this source
| Applied Materials, Inc. · speedup factor | 30 times |
| Applied Materials, Inc. · simulation speedup | 30 times_faster |
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