Recent #Blackwell news in the semiconductor industry

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 SK hynix has begun mass production of the world's first 12-layer HBM3E memory with a capacity of up to 36GB and a bandwidth of 9.6Gbps; ➁ The new memory is designed for AI GPUs and is set to be supplied to NVIDIA within 12 months; ➂ SK hynix aims to maintain its leadership in AI memory with the introduction of this new technology.
AIAI GPUsBandwidthBlackwellH200HBM3EHopper H100LLMLlama 3 70BNVIDIASK hynixmemory
10 months ago
➀ NVIDIA's Blackwell AI GPUs are facing significant design issues requiring a major redesign. ➁ The new B200A AI GPU is being developed to address these issues and is scheduled for release in the second half of 2025. ➂ The B200A will feature a B102 die, 4 stacks of HBM, and will be available in 700W and 1000W HGX form factors with up to 144GB of HBM3E memory.
AI GPUBlackwellNVIDIA
2 months ago

➀ NVIDIA recently unveiled its RTX Pro 6000 Blackwell graphics cards with impressive specifications for modern workstations and servers.

➁ The RTX Pro 6000 Blackwell Workstation Edition and RTX 6000 Blackwell Max-Q Workstation Edition models are priced over $8,000.

➂ The RTX Pro 6000 Blackwell features 24,064 CUDA cores, 96GB of GDDR7 memory, and a 600W TDP, while the Max-Q version has a 300W TDP.

BlackwellNVIDIA
3 months ago

➀ The Nvidia GeForce RTX 5070 Founders Edition offers a 20% performance increase over its predecessor and a $549 MSRP.

➁ Concerns over retail availability and pricing, with potential for significantly higher prices in the short term.

➂ AMD's RX 9070 launch scheduled for the same day, posing competition and availability challenges.

2nm3nmAIAI ChipAI PCAMDArmAsusBlackwellCoolingDellEDAEUVGDDRGPUGaNGraphics CardHPCInfineonLaptopLinuxMicrochipNVIDIAPCIePrivacyRaspberry PiSoftwareSwitchTIautomotivecybersecuritygamingiosmemorymonitorsemiconductor
5 months ago
➀ NVIDIA unveiled the GeForce RTX 50 series, including the RTX 5090, RTX 5080, RTX 5070 Ti, and RTX 5070, with the RTX 5090 offering 170 Streaming Multiprocessors and 32GB of GDDR7 memory. The series boasts significant performance improvements over the RTX 4090. ➁ NVIDIA introduced DLSS 4, RTX Neural Shaders, and RTX Neural Face, enhancing image quality and performance. ➂ The RTX 50 series also features RTX Mega Geometry for improved ray-tracing capabilities. The GeForce RTX 5090 is set to be released this month, with laptops following in March.
BlackwellNVIDIAgeforce rtx 50 series
8 months ago
➀ The Wall Street is focusing on NVIDIA's Blackwell production increase due to the influx of capital into AI-related investments. Morgan Stanley has released another report on NVIDIA's latest GPU architecture, revealing more information about the exact reasons for the production bottleneck in the summer. ➁ NVIDIA confirmed the rumors about minor defects in the Blackwell design during the recent earnings call, but assured investors that some minor modifications to the photomask can solve the low yield problem caused by it. ➂ Morgan Stanley believes that the low yield problem was only discovered in the encapsulation stage, resulting in the scrapping of不合格 products, leading to losses in CoWoS and HBM3e. These products were already in short supply, which further exacerbated NVIDIA's supply issues.
BlackwellNVIDIA
10 months ago
➀ NVIDIA's next-generation Blackwell AI chips are delayed due to design flaws, affecting major clients like Meta, Google, and Microsoft. ➁ The production was initially planned for Q3 2024 but was halted by TSMC engineers discovering issues. ➂ Despite initial optimism, the delay is more significant, impacting the deployment plans of companies like Supermicro.
AI ChipBlackwellNVIDIA