
NVIDIA Ships Nemotron 3 Ultra - 550B Open-Weight MoE
NVIDIA's 550B Nemotron 3 Ultra, released June 4, tops the US open-weight leaderboard with a hybrid Mamba-Transformer MoE architecture and 300-plus tokens per second throughput.
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NVIDIA's 550B Nemotron 3 Ultra, released June 4, tops the US open-weight leaderboard with a hybrid Mamba-Transformer MoE architecture and 300-plus tokens per second throughput.

NVIDIA's Dynamo Snapshot uses CRIU and cuda-checkpoint to freeze and restore GPU inference containers in seconds, cutting Kubernetes cold-start times by up to 21x for large models.

New open-source inference engine for Apple Silicon benchmarks up to 2.6x faster than Ollama, supports 66 model aliases, and drops in as an OpenAI-compatible server on any Mac.

Meta's Llama 3.3 70B Instruct matches Llama 3.1 405B on instruction following and math while running at 4-5x lower cost, with the lowest hallucination rate of any open-weight model on the Vectara summarization leaderboard.

Intel's Crescent Island inference GPU trades HBM bandwidth for 480GB of LPDDR5X, targeting customers locked out of NVIDIA's supply chain.

Verified June 2026: real cost per million tokens for self-hosting Llama 4 Scout, Maverick, Qwen3-235B, and DeepSeek V3.2 - GPU requirements, cost formulas, and when cheap APIs actually win.

Three papers: smarter CoT trimming cuts reasoning length by 50%, a plug-in context manager rescues frozen agents on long tasks, and a 960K-item clinical benchmark exposes LLM gaps in hospitals.

AMD Instinct MI350P brings CDNA 4 to a standard PCIe slot: 144GB HBM3E, 4 TB/s bandwidth, 2.3 PFLOPS MXFP8, and 600W passive cooling for air-cooled servers.

NVIDIA RTX Spark is a 20-core ARM + Blackwell GPU superchip delivering 1 petaFLOP FP4 and 128GB unified memory for AI-first Windows laptops and desktops.

Nvidia's Cosmos 3 is the first fully open omnimodel for physical AI, trained on 20 trillion tokens to teach robots and autonomous vehicles how to reason and act in the real world.

XCENA raises $135M at a $570M valuation to build the MX1 - a CXL 3.2 chip with thousands of RISC-V cores that processes AI workloads where data lives, eliminating costly data transfers between GPU and RAM.

After licensing its chip technology to Nvidia for $20 billion, Groq is raising $650M from existing investors to rebuild itself as an AI inference cloud provider.