AI workloads Flash News List | Blockchain.News
Flash News List

List of Flash News about AI workloads

Time Details
2025-12-02
16:05
Amazon AMZN unveils Trainium3 UltraServers AI chips with 4.4x compute and 4x energy efficiency now available to customers

According to @StockMKTNewz, Amazon announced its newest AI chips are now available to customers, with Trainium3 UltraServers delivering up to 4.4x more compute performance, 4x greater energy efficiency, and nearly 4x more memory bandwidth versus Trainium2 for high-performance AI workloads (source: @StockMKTNewz). According to @StockMKTNewz, the disclosure provides availability and quantified performance deltas but does not include pricing, deployment scale, customer names, or timelines beyond availability (source: @StockMKTNewz). According to @StockMKTNewz, the post does not reference any direct impact on cryptocurrency markets or tokens (source: @StockMKTNewz).

Source
2025-10-30
13:30
AWS and OpenAI Multi-Year Strategic Partnership: Advanced AI Workloads Begin on AWS Immediately — Key Trading Takeaways

According to OpenAI, it has entered a multi-year strategic partnership with AWS that enables OpenAI to run advanced AI workloads on AWS infrastructure starting immediately, source: OpenAI. The announcement centers on cloud compute capacity for AI workloads and does not reference cryptocurrency, blockchain initiatives, or token-related elements, source: OpenAI. For trading teams, the concrete takeaway is expanded access to AWS infrastructure for OpenAI, with no direct crypto-market linkage disclosed in the release, source: OpenAI.

Source
2025-10-22
23:31
Decentralized Cloud ShelbyServes Claims 10x Cost Reduction and Outage Resilience After AWS Outage, Targeting AI Enterprise Workloads

According to @AveryChing, partners at @jump_ published a detailed report outlining how ShelbyServes achieves unique cost advantages over traditional cloud providers, highlighting read-heavy workload optimizations (source: @AveryChing on X, Oct 22, 2025). According to @AveryChing, read-heavy workloads can realize up to a 10x cost reduction on ShelbyServes with no contract lock-in, positioning decentralized storage as a cost-efficient option for data-intensive use cases (source: @AveryChing on X, Oct 22, 2025). According to @AveryChing, the AWS outage on Monday impacted over 1,000 companies, while ShelbyServes, as a decentralized high-performance storage system, can continue to serve data at high speeds through common cloud and network outages (source: @AveryChing on X, Oct 22, 2025). According to @AveryChing, AI and large enterprises need better cloud infrastructure, and ShelbyServes is being built to meet that demand, underscoring decentralization and reliability as core differentiators for enterprise and AI workloads (source: @AveryChing on X, Oct 22, 2025).

Source
2025-09-02
21:31
Hyperbolic Opens H200 GPU Reservations and Access for AI Workloads — Verified Supply Update for AI Compute and Crypto Infrastructure Traders

According to @hyperbolic_labs, H200 access for AI workloads is available to start experimenting today, and the team is taking GPU reservations and bulk requests via its website and direct contact (source: Hyperbolic on X, Sep 2, 2025). For traders, this constitutes a verified supply-side update from a GPU provider that can be used to track AI compute availability relevant to crypto infrastructure strategies, as communicated by @hyperbolic_labs (source: Hyperbolic on X, Sep 2, 2025).

Source
2025-09-02
21:31
Hyperbolic Launches H200 GPU Rental At $2.65/Hour On-Demand — Rent 1 Or 8x For AI Workloads

According to @hyperbolic_labs, Hyperbolic is offering H200 GPUs at a listed price of $2.65 per hour with on-demand access and options to rent either a single H200 or an 8x H200 setup for AI workloads; source: @hyperbolic_labs on X dated Sep 2, 2025. At this rate, a continuous 24-hour run costs approximately $63.60 per H200 and about $1,934 for a 30-day month, calculated directly from the stated $2.65 per hour price; source: @hyperbolic_labs. The post confirms on-demand availability and AI workload support without restrictions noted in the announcement; source: @hyperbolic_labs.

Source