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⚡ Next-Generation AI Silicon & Infrastructure
# Scalable Hardware Architectures for Frontier AI Models
Powering trillion-parameter foundation models and autonomous multi-agent swarms with high-bandwidth memory, optical switching fabrics, and custom FPGA vector storage.
[Launch Interactive Systems Configurator](https://geo-optimizer-test-website.danil-starshekov.workers.dev/spa-catalog.html)
[View Enterprise Pricing](https://geo-optimizer-test-website.danil-starshekov.workers.dev/pricing.html)
3.8 PFLOPS
FP8 Tensor Compute per Node
< 2.5 ms
p99 Latency Across 50B Vectors
4.8 TB/s
HBM3e Memory Interconnect
99.999%
Production Cluster Availability
## Engineered for Distributed Intelligence
A full-stack hardware platform eliminating inference and training bottlenecks
### High-Density AI Accelerators
3nm Custom Tensor Silicon
Equipped with 192GB unified HBM3e memory, TensorMax accelerators deliver unmatched floating-point throughput for large multimodal models.
[Explore Accelerator Specs →](https://geo-optimizer-test-website.danil-starshekov.workers.dev/solutions.html)
### FPGA-Accelerated Vector Storage
Kernel-Bypass NVMe Nodes
Direct-memory approximate nearest neighbor indexing capable of querying billions of embeddings with sub-millisecond retrieval latency.
[Explore Storage Nodes →](https://geo-optimizer-test-website.danil-starshekov.workers.dev/solutions.html)
### Lossless Optical Fabrics
400GbE / 800GbE RoCEv2 Switching
Ultra-low latency cut-through switching fabrics with adaptive congestion management designed specifically for all-reduce synchronizations.
[Explore Optical Fabrics →](https://geo-optimizer-test-website.danil-starshekov.workers.dev/solutions.html)
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