
Best AI Drug Discovery and Biotech Tools in 2026
Five leading AI drug discovery platforms compared - AlphaFold 3, IsoDDE, Recursion OS, Insilico Pharma.AI, and NVIDIA BioNeMo. Access, capabilities, pricing, and clinical results.
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Five leading AI drug discovery platforms compared - AlphaFold 3, IsoDDE, Recursion OS, Insilico Pharma.AI, and NVIDIA BioNeMo. Access, capabilities, pricing, and clinical results.

Vast Data closes a $1B Series F at $30B valuation - triple its 2023 price - with NVIDIA, Drive Capital, and Access Industries backing its push to own the data layer for AI infrastructure.

Google's Virgo Network connects 134K TPU chips at 47 petabits per second using a flat two-layer topology that removes the bandwidth degradation cluster operators have engineered around for years.

DeepSeek V4 has slipped three times since February. Jensen Huang called it a horrible outcome for America. Here is what is actually hard about running a trillion-parameter model on Huawei's CANN framework.

Mira Murati's AI lab signs a single-digit-billion deal with Google Cloud for GB300 chip access, its first cloud provider commitment, as frontier labs race to lock in next-gen compute.

Google splits its next TPU generation across Broadcom, MediaTek, Marvell, and Intel to win inference economics, revealed ahead of Cloud Next 2026.

NVIDIA's Spatial Intelligence Lab released Lyra 2.0, a 14B model that turns a single photograph into a navigable 3D environment - but the weights carry a research-only license.

TSMC posted $35.9B in Q1 2026 revenue, a 40.6% year-over-year jump, with AI and HPC now accounting for 61% of wafer sales - and CoWoS packaging still fully booked.

Complete buying guide for AI home workstations in 2026 - pre-built machines and DIY builds for running local LLMs from 3B to 70B+ models, with benchmarks, part lists, and price-tier comparisons.

A benchmark-driven comparison of the top open-source LLM inference servers - vLLM, SGLang, TGI, llama.cpp, TensorRT-LLM, LMDeploy, and more.

The NVIDIA Groq 3 LPU is a pure-SRAM inference chip delivering 150 TB/s memory bandwidth and 1.2 PFLOPS FP8 per chip, designed to pair with Vera Rubin GPUs for trillion-parameter model serving.

NVIDIA releases two open-source AI models for quantum hardware - a 35B vision-language model that cuts calibration time from days to hours, and CNN decoders that outpace the standard by 2.5x.