The company plans to produce 20,000 RNGD cards this year and more than double that in 2027, with the chip already in mass production and deployed by customers like Samsung SDS and LG Group.
The update delivers up to 138% token generation per watt improvements for MoE models and introduces experimental hierarchical KV cache offloading.
FuriosaAI has established a subsidiary in Singapore to accelerate the commercial deployment of its RNGD AI inference platform across the APAC region.
FuriosaAI presented four papers at ICML 2026 addressing efficiency in LLM inference, training, and serving.
RNGD demonstrated competitive inference performance with up to 44% less power consumption compared to the RTX PRO 6000.
FuriosaAI is building a 15MW AI data center in Stockholm, Sweden.
Daum operates an AI search service generating about 500 million tokens a day based on Furiosa RNGD.
FuriosaAI CEO June Paik met Princess Anne at a British Embassy Seoul event to discuss Korea-UK AI technology cooperation.
FuriosaAI's RNGD accelerator will be offered as NPUaaS on the Samsung Cloud Platform, increasing enterprises' access to AI infrastructure.
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.
FuriosaAI has dramatically accelerated model support speed with SDK 2026.3, which introduces the new kernel framework TCL.
FuriosaAI is partnering with Broadcom to develop a 3rd-generation inference platform optimized for the agentic AI era.
Furiosa revealed RNGD's transition to mass production and its inference strategy at RENEGADE Summit 2026.
SDK 2026.2 raises RNGD throughput by an average of 74.9% and strengthens deployment automation.
FuriosaAI has established a European flagship office in Lisbon, Portugal, to expand its European market presence and strengthen R&D.
Global partners including Samsung SDS announced commercial products for FuriosaAI's RNGD.
With its latest SDK, RNGD boosted the number of users per 15kW rack to up to 2x that of the RTX Pro 6000.
LG U+ and FuriosaAI unveiled an on-premise inference server combining a domestically developed model, platform, and AI silicon.
FuriosaAI and Helikai have certified a secure, on-premises agentic AI stack.
Furiosa SDK 2026.1 strengthens batching, caching, and Kubernetes support.
FuriosaAI has started mass shipments of RNGD, marking its full-scale entry into the enterprise AI inference market.
Lowering AI inference costs requires optimizing every layer, from the model to scheduling.
torch.compile recompiles when shapes change and restricts execution scope using guards.
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