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	<title>Unum Blog</title>
	<link>https://www.unum.cloud/blog/</link>
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	<description>Deep dives on USearch, UStore, UForm and the libraries beneath them: benchmarks, kernels and storage engines</description>
	<language>en</language>
	<item>
		<title>Changing Our Development Practices with Time</title>
		<link>https://www.unum.cloud/blog/development-practices</link>
		<guid>https://www.unum.cloud/blog/development-practices</guid>
		<pubDate>Mon, 09 Nov 2026 00:00:00 GMT</pubDate>
		<description>A decade in, AI agents made writing code cheap and keeping it coherent expensive. How that changed our Git branches and releases, moved eight repositories into lockstep, turned pre-commit hooks into design guardrails, made model checking routine, and what we still have not figured out</description>
	</item>
	<item>
		<title>FP8 Search &amp; KV-Caching in USearch</title>
		<link>https://www.unum.cloud/blog/float8</link>
		<guid>https://www.unum.cloud/blog/float8</guid>
		<pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate>
		<description>GPUs moved to FP8. CPUs didn't. 200'000 lines of SIMD kernels later, USearch bridges both worlds — native Float8 Vector Search and KV Caching for the upcoming Arm-based NVIDIA Vera racks, Intel Xeons, open-source RISC-V chips, IBM Mainframes, Chinese LoongArch, and even WebAssembly in the browser — for higher throughput at 99% recall and half the memory cost</description>
	</item>
	<item>
		<title>USearch: 10x - 100x Faster than Meta's FAISS</title>
		<link>https://www.unum.cloud/blog/scaling-vector-search-with-intel</link>
		<guid>https://www.unum.cloud/blog/scaling-vector-search-with-intel</guid>
		<pubDate>Tue, 07 Nov 2023 00:00:00 GMT</pubDate>
		<description>Scaling Retrieval Augmented Generation with the USearch vector search engine on Intel Sapphire Rapids CPUs on Gcore, outperforming Meta's FAISS library by 10x - 100x on a scale of 100M to 1B vectors.</description>
	</item>
	<item>
		<title>UForm v2: now in 21 languages</title>
		<link>https://www.unum.cloud/blog/uform-graphcore</link>
		<guid>https://www.unum.cloud/blog/uform-graphcore</guid>
		<pubDate>Thu, 17 Aug 2023 00:00:00 GMT</pubDate>
		<description>Releasing UForm v2 with support for 21 languages, delivering state-of-the-art efficiency in AI-based text-to-image search and multimodal embeddings.</description>
	</item>
	<item>
		<title>Making the Edge Efficient with Gcore and Intel</title>
		<link>https://www.unum.cloud/blog/intel-gcore-unum</link>
		<guid>https://www.unum.cloud/blog/intel-gcore-unum</guid>
		<pubDate>Thu, 08 Jun 2023 00:00:00 GMT</pubDate>
		<description>Partnering with Gcore and Intel to deploy the world most efficient data-processing infrastructure at the edge, powered by Unum assembly-optimized engines.</description>
	</item>
	<item>
		<title>Beating OpenAI CLIP with 100x less data and compute</title>
		<link>https://www.unum.cloud/blog/efficient-multimodality</link>
		<guid>https://www.unum.cloud/blog/efficient-multimodality</guid>
		<pubDate>Mon, 20 Feb 2023 00:00:00 GMT</pubDate>
		<description>Demonstrating how to train state-of-the-art Vision-Language transformers for semantic search using 100x less data and compute than OpenAI CLIP.</description>
	</item>
	<item>
		<title>Billion Rows in Pandas? CuDF, Modin, Arrow, Spark</title>
		<link>https://www.unum.cloud/blog/pandas</link>
		<guid>https://www.unum.cloud/blog/pandas</guid>
		<pubDate>Tue, 20 Sep 2022 00:00:00 GMT</pubDate>
		<description>Evaluating in-memory tabular processing frameworks including CuDF, Modin, Arrow, and Spark on billion-row taxi ride datasets to find the fastest Pandas alternative.</description>
	</item>
	<item>
		<title>Beating RocksDB by up to 7x in almost every workload</title>
		<link>https://www.unum.cloud/blog/ucsb-10tb</link>
		<guid>https://www.unum.cloud/blog/ucsb-10tb</guid>
		<pubDate>Tue, 13 Sep 2022 00:00:00 GMT</pubDate>
		<description>Pushing the limits of UDisk and RocksDB on massive 10TB datasets with 64 threads and 1TB of RAM, achieving up to 7x performance gains in almost every workload.</description>
	</item>
	<item>
		<title>Unbranding and Extending the Yahoo Cloud Serving Benchmark</title>
		<link>https://www.unum.cloud/blog/ucsb</link>
		<guid>https://www.unum.cloud/blog/ucsb</guid>
		<pubDate>Tue, 22 Mar 2022 00:00:00 GMT</pubDate>
		<description>Introducing the Unum Cloud Serving Benchmark (UCSB), a modernized and extended version of YCSB designed to rigorously evaluate the performance of next-generation storage engines.</description>
	</item>
	<item>
		<title>50x Faster NumPy on GPUs with CuPy</title>
		<link>https://www.unum.cloud/blog/cupy</link>
		<guid>https://www.unum.cloud/blog/cupy</guid>
		<pubDate>Wed, 26 Jan 2022 00:00:00 GMT</pubDate>
		<description>Accelerating NumPy workflows by 50x using CuPy on Nvidia RTX 3090, benchmarking BLAS operations against CPU-based implementations on AMD Threadripper.</description>
	</item>
	<item>
		<title>CPU vs GPU Benchmarks Series</title>
		<link>https://www.unum.cloud/blog/cpu-vs-gpu</link>
		<guid>https://www.unum.cloud/blog/cpu-vs-gpu</guid>
		<pubDate>Tue, 25 Jan 2022 00:00:00 GMT</pubDate>
		<description>Comparing the number-crunching capabilities of AMD Threadripper PRO 3995WX and Nvidia RTX 3090 across matrix multiplication, convolution, and other compute-intensive tasks.</description>
	</item>
	<item>
		<title>2021 in Database Startups: Gold Rush!</title>
		<link>https://www.unum.cloud/blog/dbms-startups</link>
		<guid>https://www.unum.cloud/blog/dbms-startups</guid>
		<pubDate>Fri, 31 Dec 2021 00:00:00 GMT</pubDate>
		<description>A retrospective on the database industry in 2021, analyzing the technical architecture, funding rounds, and market promises of the hottest new database startups.</description>
	</item>
	<item>
		<title>UDisk Crushing Benchmarks: YCSB, pt. 2</title>
		<link>https://www.unum.cloud/blog/ycsb-udisk</link>
		<guid>https://www.unum.cloud/blog/ycsb-udisk</guid>
		<pubDate>Thu, 25 Nov 2021 00:00:00 GMT</pubDate>
		<description>Benchmarking UDisk against RocksDB, LevelDB, and WiredTiger on 1TB datasets, demonstrating superior performance in read-heavy and write-heavy workloads.</description>
	</item>
	<item>
		<title>Yahoo Cloud Serving Benchmark for Key-Value Stores</title>
		<link>https://www.unum.cloud/blog/ycsb-keyval</link>
		<guid>https://www.unum.cloud/blog/ycsb-keyval</guid>
		<pubDate>Wed, 27 Oct 2021 00:00:00 GMT</pubDate>
		<description>A deep dive into the Yahoo Cloud Serving Benchmark to evaluate NoSQL database performance, identifying the strengths and weaknesses of RocksDB, LevelDB, and WiredTiger.</description>
	</item>
	<item>
		<title>Our Recipe for Fast Computational Storage</title>
		<link>https://www.unum.cloud/blog/bottlenecks</link>
		<guid>https://www.unum.cloud/blog/bottlenecks</guid>
		<pubDate>Tue, 05 Jan 2021 00:00:00 GMT</pubDate>
		<description>Exploring the limits of modern hardware through Assembly optimizations, CUDA kernels, and algorithmic improvements to eliminate IO and compute bottlenecks in database engines.</description>
	</item>
	<item>
		<title>Text Indexing in ElasticSearch, MongoDB and UDisk</title>
		<link>https://www.unum.cloud/blog/texts</link>
		<guid>https://www.unum.cloud/blog/texts</guid>
		<pubDate>Sun, 03 Jan 2021 00:00:00 GMT</pubDate>
		<description>Comparing indexing performance of ElasticSearch, MongoDB, and UDisk on a 20GB text dataset, revealing the massive overhead of Java-based search engines.</description>
	</item>
	<item>
		<title>Why Build a Custom DBMS?</title>
		<link>https://www.unum.cloud/blog/why-build-dbms</link>
		<guid>https://www.unum.cloud/blog/why-build-dbms</guid>
		<pubDate>Sat, 02 Jan 2021 00:00:00 GMT</pubDate>
		<description>Analyzing the widening gap between modern NVMe SSD throughput and legacy database software performance, and why we decided to build a new storage engine from scratch.</description>
	</item>
	<item>
		<title>Networks Processing Performance Report</title>
		<link>https://www.unum.cloud/blog/graphs</link>
		<guid>https://www.unum.cloud/blog/graphs</guid>
		<pubDate>Thu, 12 Nov 2020 00:00:00 GMT</pubDate>
		<description>Benchmarking graph traversal performance on persistent storage against NetworkX, evaluating random access patterns on Patent Citations, Gene Regulatory Networks, and Human Brain connectomes.</description>
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