AI Briefing#ai-inference
The latest AI and developer news about #ai-inference, with the original source and a short summary.
The latest AI and developer news about #ai-inference, with the original source and a short summary.
Cerebras has launched the CS-4, a rack-scale system offering up to 30x faster inference performance compared to GPUs.
Etched raised $700 million at a $21 billion valuation and delivered its first rack to Jane Street.
Gartner predicts that inference costs per AI agent workflow will increase more than 5-fold by 2028.
As AI inference speeds increase, the additional computation capacity available within a deadline, known as the 'deadline dividend', grows.
Groq raised $3.5 billion at a $3.5 billion valuation after signing a technology license agreement with Nvidia.
Google has released the homomorphic encryption compiler HEIR, making private AI technology that performs inference on encrypted data practical.
Taalas and Groq tackle the memory bottleneck in AI inference by fixing model weights onto chips.
AMD has agreed to acquire the Canadian AI chip startup Taalas.
RNGD demonstrated competitive inference performance with up to 44% less power consumption compared to the RTX PRO 6000.
Rebellions presented its AI inference chip strategy at RAISE Summit 2026.
FuriosaAI is building a 15MW AI data center in Stockholm, Sweden.
Qwen 3.8 Max is now available on Vercel AI Gateway.
AMD and Cerebras have unveiled a low-latency AI inference solution combining AMD Helios and the Cerebras Wafer-Scale Engine.
FuriosaAI's RNGD accelerator will be offered as NPUaaS on the Samsung Cloud Platform, increasing enterprises' access to AI infrastructure.
Nvidia-backed Fireworks has reached a $17.5 billion valuation, with revenue surging on the back of growing demand for low-cost AI models.
Researchers at Peking University have developed an optical chip system that boosts speed by 100 times over existing methods while cutting power consumption to 1/9.
NVIDIA highlights performance per watt as the key metric determining the profitability of AI infrastructure in power-constrained environments, showcasing the overwhelming efficiency of the Blackwell platform.
This piece details the physical and logical path a prompt takes through the various components of a data center during AI inference.
FuriosaAI is partnering with Equinix to expand RNGD infrastructure supply so that European enterprises can efficiently run high-performance AI inference.
FuriosaAI is installing RNGD servers at Equinix's Lisbon data center, expanding AI inference infrastructure for European enterprises.
Kubernetes-based Modelplane has been released, supporting multi-cloud and on-premise GPU cluster management.
AWS has launched Amazon EC2 G7 instances equipped with NVIDIA RTX PRO 4500 Blackwell GPUs, significantly boosting AI inference performance.
It covers the concepts and importance of inference engineering, which efficiently deploys and optimizes AI models for real-world services.
A high-performance RocksDB-based tiered cache solution that can replace Redis for optimizing AI inference workloads.