Quick Take: Hammerspace Hyperscale NAS For AI & HPC

Hammerspace Hyperscale NAS

Hammerspace unveiled its new high-performance NAS architecture, Hyperscale NAS, to cater to the growing demands of enterprise AI, machine learning, deep learning initiatives, and the increasing use of GPU computing both on-premises and in the cloud.

Quick Take: Lacework Expands Enterprise Capabilities


Cloud security company Lacework announced new platform capabilities to enhance efficiency for security stakeholders.

The enhancements include the introduction of Lacework Explorer, a combination of a security graph and resource explorer for better asset visibility and relationship analysis. New dashboards have been introduced to provide in-depth insights into the performance of security programs against set goals.

Quick Take: Datastax Acquires Langflow

Datastax Langflow

DataStax announced the acquisition of Logspace, the company behind Langflow, a low-code tool for building applications based on Retrieval-Augmented Generation (RAG). The terms of the deal were not disclosed.

Research Note: MLPerf Inference 4.0 Results

MLCommons released the results of its MLPerf Inference v4.0 benchmarks, which introduced two new workloads, Llama 2 and Stable Diffusion XL.
Since its inception in 2018, MLPerf has established itself as a crucial benchmark in the accelerator market. The benchmarks offer detailed comparisons across a variety of system configurations for specific use cases.

Research Note: Databricks DBRX LLM


Databricks launched DBRX, a new open, general-purpose Large Language Model (LLM) that sets a new benchmark for performance and efficiency.

DBRX surpasses the capabilities of existing models like GPT-3.5 while also demonstrating competitive performance with closed models such as Gemini 1.0 Pro, making it a formidable player in general-purpose applications and specialized coding tasks.

Quick Take: Observe’s $115M Series B


Observe, a SaaS observability company focused on transforming the management and analysis of machine-generated data, has secured $115 million in Series B funding. The round closed with a valuation 10x of its Series A.  

Is NVIDIA Lagging in Lucrative Automotive Segment?

Nvidia’s most recent earnings release is a tremendous achievement for the company, with reported revenue of $22.1 billion, up an incredible 265% year-on-year. Earnings grew an equally unbelievable 765% year-on-year.  

Its automotive revenue was $281 million.

Research Note: Arm’s New Automotive Cores

Image of Arm processors

Arm recently launched new safety-enabled AE processors incorporating Armv9 technology and server-class performance. These processors are tailored for AI-driven applications to enhance autonomous driving and advanced driver-assistance systems (ADAS).