AGI in 2026? Andrew Ng Has Some Bad News for Musk
Andrew Ng says AGI is decades away and the real AI bubble risk is in the training layer - not inference. We examine both claims against the data.
Articles Tagged "Inference"
Mercury 2 Review: 1,000 Tokens per Second, Tested
Mercury 2 by Inception Labs is the fastest reasoning LLM available, built on diffusion architecture. We tested the speed, quality, and real-world trade-offs.
Mercury 2 Is 13x Faster Than Claude Haiku - Verified
Inception Labs' Mercury 2 hits 1,196 tokens per second in independent testing - a diffusion architecture that rewires how inference works.
NVIDIA's Secret Chip Fuses GPU and Groq for OpenAI
NVIDIA will unveil a new inference processor built on Groq's LPU architecture at GTC 2026, with OpenAI as its first major customer allocating 3 GW of dedicated capacity.
Someone Reverse-Engineered Apple's Neural Engine and Trained a Model on It
A developer cracked Apple's undocumented ANE private APIs, measured its real throughput at 19 TFLOPS FP16 (not the marketed 38 TOPS), and trained a 109M-parameter transformer on hardware Apple designed exclusively for inference.
Etched Sohu - Transformer-Only Inference ASIC
Full specs and critical analysis of the Etched Sohu - a transformer-specific ASIC claiming 500K+ tokens/sec on Llama 70B, built on TSMC 4nm with 144GB HBM3E. Bold claims, but no independent benchmarks yet.
Hailo-10H - Edge AI With On-Device LLMs
Complete specs, benchmarks, and analysis of the Hailo-10H - a 2.5W edge AI accelerator with 40 TOPS INT4, on-module LPDDR4, and the ability to run LLMs and VLMs on a Raspberry Pi at 10 tokens per second.
NVIDIA Rubin CPX - Inference GPU With GDDR7
Full specs, benchmarks, and analysis of the NVIDIA Rubin CPX - a purpose-built inference GPU with 128GB GDDR7, 30 PFLOPS NVFP4, and 3x faster attention versus Blackwell, targeting million-token context workloads.
Mac Studio Clusters Now Run Trillion-Parameter Models for $40K
macOS RDMA over Thunderbolt 5 has turned four Mac Studios into a 1.5TB unified memory cluster that runs Kimi K2 at 25 tokens per second - a setup that would cost $780K with NVIDIA H100s.
Intel Crescent Island - Inference-Only AI GPU
Intel Crescent Island specs and analysis - an Xe3P inference GPU with 160GB LPDDR5X, air cooling, and a cost-optimized approach to AI serving.
NVIDIA Rubin R200 - Next-Gen AI Superchip
Complete specs, benchmarks, and analysis of the NVIDIA Rubin R200 GPU - the post-Blackwell flagship with 288GB HBM4, 22 TB/s bandwidth, and 50 PFLOPS FP4.
Qualcomm AI200 - Rack-Scale Inference ASIC
Qualcomm AI200 specs and analysis - a Hexagon-based inference accelerator with 768GB LPDDR per card, rack-scale design, and a focus on inference TCO.
