Built for the Next Generation of AI Computing
From Blackwell's FP4 precision to AMD CDNA 3 and Intel Granite Rapids - we deliver the most advanced chip architectures in the industry. Explore the technologies powering next-gen AI.
Built for the Next Generation of AI Computing
From Blackwell's FP4 precision to AMD CDNA 3 and Intel AMX - we deliver the most advanced chip architectures in the industry.
- Multi-Architecture Server Support
NVIDIA Hopper, AMD CDNA 3/4, Intel Granite Rapids — all in one data center platform
- AI Acceleration
Tensor Cores, Matrix Extensions, dedicated AI engines across all semiconductor platforms
- High-Bandwidth Memory
HBM3, HBM3e, GDDR6 server memory for the most memory-intensive enterprise workloads
- Advanced Interconnects
NVLink, Infinity Fabric, UPI, CXL for seamless multi-GPU data center scaling
- Open Ecosystems
CUDA, ROCm, oneAPI — choose your semiconductor development platform freely
- Enterprise Reliability
ECC memory, RAS features, multi-vendor server certification for production deployments
- Scalable Architecture
From edge servers to exascale data centers — single GPU to GPU clusters of any size
Blackwell & Hopper
Latest architectures powering trillion-parameter AI models
Transformer Engine
Hardware acceleration for transformer-based AI models
NVLink 5.0
Seamless GPU interconnect for scale-out clusters
Multi-Instance GPU
Partition a single GPU into isolated instances
Four Generations of AI Computing
Each generation delivers a step-change in AI performance - from Ampere's MIG to Blackwell's FP4.
Ada Lovelace
Workstation and consumer GPU architecture. Delivers 2x ray tracing performance and 4th-gen Tensor Cores with FP8 for professional AI workloads.
Ampere
The proven workhorse of enterprise AI. Third-gen Tensor Cores with TF32, MIG partitioning, and structural sparsity for 2x AI performance.
Inside the Technology Stack
The innovations across NVIDIA, AMD, Intel and more that power AI, HPC, and accelerated computing.
Transformer Engine
Hardware acceleration purpose-built for transformer models. Automatically chooses between FP8 and FP16 per layer to maximize throughput while maintaining accuracy - delivering up to 9x faster AI training on Hopper and beyond.
NVLink & NVSwitch
NVIDIA's high-speed GPU interconnect scales from 600 GB/s on Ampere to 1.8 TB/s on Blackwell. NVSwitch enables all-to-all communication, letting clusters of GPUs act as one giant accelerator for exascale workloads.
Multi-Instance GPU (MIG)
Partition a single GPU into up to 7 isolated instances with independent memory, cache, and compute. Ideal for cloud providers running multiple tenants on a single A100 or H100.
Grace CPU Superchip
72 Arm Neoverse V2 cores connected to Hopper GPU via NVLink-C2C at 900 GB/s. The GH200 superchip offers up to 624GB unified memory for giant AI models that don't fit on traditional GPUs.
Confidential Computing
Hardware-level isolation protects data and code in use. H100's confidential computing mode secures AI workloads in multi-tenant clouds and regulated industries.
Omniverse & Digital Twins
Build physically accurate digital twins of factories, cities, and robots. Powered by RTX GPUs and Universal Scene Description, enabling industrial metaverse applications.
Multi-Platform Highlights
NVIDIA Hopper, AMD CDNA 3/4, Intel Granite Rapids — all in one data center platform
Tensor Cores, Matrix Extensions, dedicated AI engines across all semiconductor platforms
HBM3, HBM3e, GDDR6 server memory for the most memory-intensive enterprise workloads
NVLink, Infinity Fabric, UPI, CXL for seamless multi-GPU data center scaling
CUDA, ROCm, oneAPI — choose your semiconductor development platform freely
ECC memory, RAS features, multi-vendor server certification for production deployments
From edge servers to exascale data centers — single GPU to GPU clusters of any size