Solana cuts blockchain slot time to 350 milliseconds

cointelegraphPublished on 2026-08-21Last updated on 2026-08-21

Abstract

Solana has reduced its blockchain slot time to 350 milliseconds, the first reduction since the network's launch. According to Solana Foundation VP of Technology Jacob Creech, this marks a "new era" with a next target of 300ms. Average slot times are currently 360ms, down from the original 400ms target. The reduction is part of a broader plan to eventually cut slot times to 200ms to improve network latency and confirmation speed. This initial cut is the first of four planned 50ms reductions. The changes, formalized in the approved SIMD-0525 proposal, are slated for implementation in the upcoming Agave v4.2 validator client, though the schedule remains tentative.

Solana reduced its slot time to 350 milliseconds, marking the first such reduction since the inception of the network, according to the Solana Foundation’s vice president of technology, Jacob Creech.

“We’re in a new era of 350ms. Next stop, 300ms,” Creech said in a Friday X post.

Average slot times on Solana stood at 360ms at press time, down from the network’s original 400ms target, according to the Solana slot time explorer.

In June, the Solana Foundation shared plans to reduce slot times from 400ms to 200ms, arguing that it would improve latency and accelerate confirmations on the blockchain network. Three further 50ms reductions are planned.

All four stages are targeted for mainnet activation in Agave v4.2, a validator client developed by Anza, though the schedule is tentative.

SIMD-0525, the proposal establishing the shorter slot times, was approved and merged on May 14.

Magazine: Efforts to bulletproof Ethereum are paying off in user metrics

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
CapricornAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
comp
CompoundCOMP
mantra
MantraMANTRA
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE
dos
DAPPOSDOS

Related Questions

QWhat is the new slot time for the Solana blockchain according to the article?

AThe new slot time for the Solana blockchain is 350 milliseconds.

QWho announced the reduction in Solana's slot time and what is their position?

AThe reduction was announced by Jacob Creech, the Solana Foundation's vice president of technology.

QWhat was Solana's original target slot time and what was the average at press time according to the article?

ASolana's original target slot time was 400 milliseconds. At press time, the average slot time was 360 milliseconds.

QWhat is the ultimate goal for Solana's slot time reduction as mentioned in the article, and how many stages are planned to achieve it?

AThe ultimate goal is to reduce the slot time to 200 milliseconds. The plan involves a total of four stages of reduction, with three more 50ms reductions planned.

QWhat is the name of the validator client and proposal involved in implementing these slot time reductions?

AThe validator client is called Agave v4.2, developed by Anza. The proposal that established the shorter slot times is SIMD-0525, which was approved on May 14.

Related Reads

Flowra Launches Open Orderflow Auction for Solana Block Building

Solana's block building and MEV landscape is seeing a significant shift with Flowra's launch of the Open Orderflow Auction (OOA). This new system aims to decentralize transaction ordering, which is currently concentrated, by replacing reliance on private channels with an open auction where registered searchers compete. The goal is to improve competition and price discovery, allowing validators to capture more value from MEV. Early tests showed positive outcomes, including a 20.6% increase in compute units per block for one validator and reports of higher fees and robust uptime. Flowra also introduced a Programmable Block Policy, giving validators greater control over transaction inclusion for compliance needs, and partnered with Honeypot for sanctions screening. Inspired by Ethereum's successful model, Flowra believes Solana's high throughput is well-suited for open block-building auctions. The system is now available, with an institutional onboarding phase underway ahead of a broader rollout.

TheNewsCrypto5m ago

Flowra Launches Open Orderflow Auction for Solana Block Building

TheNewsCrypto5m ago

Besu Discloses Five CertiK-Identified Vulnerabilities Fixed in Latest Security Update

Ethereum client Besu has detailed five security vulnerabilities, ranging from Minor to Major severity, identified by blockchain security firm CertiK. All issues were fixed in the patched version 26.7.1, released on July 27. The vulnerabilities involved block-announcement processing, future-height consensus proposal buffering, WebSocket subscriptions, and JSON-RPC filter creation, which could under certain configurations exhaust node memory or thread capacity, affecting availability or consensus. CertiK discovered the vulnerabilities through independent adversarial testing on a private multi-node network. The 26.7.1 update introduced new configurable controls, including limits on active JSON-RPC filters and WebSocket subscriptions, along with a filter timeout. Besu urged node operators to upgrade promptly. Technical details were withheld until August 14 to provide a responsible disclosure window. The public security advisories now provide full remediation details.

TheNewsCrypto6m ago

Besu Discloses Five CertiK-Identified Vulnerabilities Fixed in Latest Security Update

TheNewsCrypto6m ago

Robotic GPT-3 Moment Shakes Silicon Valley: Zero Lines of Code, Learns Instantly, with Investments from Jensen Huang and Fei-Fei Li

Generalist AI's newly released robot foundation model GEN-1.5 is being hailed as the "GPT-3 moment" for embodied AI. The model demonstrates remarkable one-shot and few-shot learning capabilities in physical manipulation tasks. By watching a single 3-12 second demonstration video (physical prompting) without any training or code, the robot can attempt the task with a 59% average success rate across 10 tasks. With just 5 minutes of demonstration data and minimal fine-tuning (10 gradient steps), the success rate jumps to 83%. The most significant breakthrough is the emergence of spontaneous, improvisational problem-solving abilities not present in the training data. For instance, after learning to sweep blocks with a brush, the robot can adapt to use a banana similarly or switch to a completely new "scoop-and-pour" strategy when given a dustpan. Other emergent behaviors include removing obstacles, correcting errors, and spontaneously sorting objects. These capabilities stem from over 8 months of large-scale pre-training on physical interaction data, suggesting the existence of a Scaling Law for embodied intelligence—where model generalization improves with more data and training time. This approach drastically reduces the cost and expertise needed to teach robots new skills, potentially democratizing robot programming. The release coincides with a surge in the humanoid robotics sector, marked by events like the World Robot Conference and significant investments. While the demonstrated tasks are still relatively simple, the scaling trend and emergent behaviors point toward a future where general-purpose robot "brains" could be easily adapted to various hardware "bodies," reshaping the industry's competitive landscape.

marsbit25m ago

Robotic GPT-3 Moment Shakes Silicon Valley: Zero Lines of Code, Learns Instantly, with Investments from Jensen Huang and Fei-Fei Li

marsbit25m ago

Semiconductor Industry Sees a New Wave of Price Hikes, with STMicroelectronics, Maxscend and Others Increasing Prices Intensively

The semiconductor industry is experiencing a new wave of price increases driven by supply-demand dynamics and rising costs. Throughout August, multiple international and domestic semiconductor companies have issued price adjustment notices to clients, with a focus on analog and RF chips. Key companies adjusting prices include STMicroelectronics, which is implementing its third price hike in 2026 effective August 23, citing sustained demand pressure and rising costs across the supply chain. Analog Devices, Inc. (ADI) has also announced a second price increase for 2026, effective September 13, due to "unprecedented" demand growth and escalating manufacturing costs. In China, RF chip leader Zhuosheng Microelectronics issued a price adjustment notice for its full RF product line, effective September 1, its first hike this year, attributing it to rising raw material and foundry costs. Additionally, Chinese MCU manufacturer Nations Technologies announced a 10-20% price increase for some products from October 1. This new round of price hikes has shifted its focus to mature process nodes (e.g., analog, RF, power, MCUs), partly due to AI computing demand consuming 8-inch wafer capacity. This contrasts with the first half of 2026, when the surge was led by AI memory chips like HBM and server DRAM. Analysts note that the long lead time for expanding analog/power semiconductor capacity (18-24 months) may sustain price resilience in the short term. However, downstream manufacturers' cost tolerance and fluctuating global demand could become constraints, potentially limiting further significant price increases. Companies have linked the hikes to ensuring future supply stability by funding capacity expansion.

marsbit28m ago

Semiconductor Industry Sees a New Wave of Price Hikes, with STMicroelectronics, Maxscend and Others Increasing Prices Intensively

marsbit28m ago

Cursor Launches the Strongest "Automatic Workhorse" Mode, /goal Dominates the Scene

Cursor's latest major update supercharges its Cloud Agents with autonomous, persistent workflows. The headline feature is `/goal`, transforming one-off tasks into continuous objectives—like fixing all flaky tests until CI stays green—where the Agent works unattended until the goal is met. New "Subscriptions" allow cloud-based Agents to autonomously monitor event sources like GitHub PRs, Slack threads, or schedules. An Agent can now own a PR from creation through merge, automatically handling CI failures or bot comments without human intervention. The update also enables sub-agents to run in isolated cloud VMs with their own project copies, allowing parallel work without conflicts. Additional tweaks include "Custom Modes" to lock an Agent into a specialized skill and "Steering," which queues user interruptions until the Agent's next tool call. Cursor reveals that over 35% of its internally merged PRs are now autonomously created by cloud Agents, up from 30% in February 2026. Accompanying this shift, the "Auto" pricing tier will transition to model-based billing starting August 24, making the cost of running these high-autonomy agents more granular. This evolution moves the developer's role from writing code to managing AI agents that handle coding, PRs, CI, and testing—fundamentally reshaping the software development pipeline.

marsbit28m ago

Cursor Launches the Strongest "Automatic Workhorse" Mode, /goal Dominates the Scene

marsbit28m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片

Top Questions

Hot Categoriesright-arrow

Hot Tagsright-arrow