Recent #Memory Bandwidth news in the semiconductor industry

3 months ago

➀ AI software modeling represents a significant shift from traditional programming, enabling systems to learn from data.

➁ The complexity of AI systems lies in their model parameters, which can number in the billions or trillions.

➂ GPUs have become essential for AI processing, but they face efficiency challenges, particularly during inference with large language models.

AIAI AcceleratorsASICComputational EfficiencyGPUHardwareLLMMemory Bandwidth
6 months ago
➀ The NVIDIA GeForce RTX 5090 will use the GB202 'Blackwell' GPU, 22% larger than the AD102 'Ada Lovelace' GPU in the RTX 4090; ➁ The GB202 GPU has a die size of 744mm², making it 22% larger than the AD102 GPU in the RTX 4090; ➂ The RTX 5090 is expected to have 20,000+ CUDA cores, 32GB of next-gen GDDR7 memory, and up to 2.0TB/sec memory bandwidth.
Ada LovelaceBlackwellCUDA CoresDLSS 4GB202GDDR7GPUGeForceMemory BandwidthNVIDIARTX 5090gaminggraphics cardray tracing
8 months ago
➀ NVIDIA's GeForce RTX 5080 is expected to feature the fastest GDDR7 memory at 32Gbps, with 16GB GDDR7 at 1TB/sec memory bandwidth; ➁ The GPU will have 10,752 CUDA cores and is expected to match RTX 4090 performance; ➂ The new RTX 5080 will offer significant performance improvements over the RTX 4080 and RTX 4080 SUPER.
Blackwell GPU architectureCUDA CoresDLSS 4GDDR7GPUGeForce RTX 5080Memory BandwidthNVIDIA