OpenAI and Cerebras unveiled Ultrafast on August 13, 2026, a new API tier running GPT-5.6 Sol at up to 750 output tokens per second, up to 14 times faster than Standard processing. The announcement follows a sweeping infrastructure commitment formalized in January 2026, under which Cerebras committed to deliver 750 megawatts of compute capacity through 2028, with the deal valued at over $10 billion. OpenAI started with a small group of companies across coding, financial research, voice AI, and e-commerce to study where the speed creates real value before expanding access. For developers, the pitch is that the traditional trade-off between model quality and response speed is now optional, at least for businesses willing to join a waitlist for a tier with no published price. On GDP-Val, a benchmark for economically valuable knowledge work, Ultrafast delivered a 5.6× end-to-end speedup with no quality degradation. The move signals OpenAI's pivot toward specialized inference hardware as the path to scale frontier intelligence deployment rather than relying solely on GPU providers.
Speed-at-scale infrastructure becomes a competitive moat separate from model capability, forcing API-dependent companies to choose providers based on latency tradeoffs rather than raw model performance alone. Enterprise developers and infrastructure decision-makers must now evaluate Cerebras partnerships and pricing when planning real-time AI deployments.
IBM announced a strategic partnership with OpenAI to help enterprises deliver business outcomes by deploying AI at scale across core business operations and complex workflows, while strengthening cyber defense and resilience through programs like OpenAI Daybreak. The partnership integrates OpenAI frontier models, including GPT-5.6, as well as products such as Codex and ChatGPT Work, into IBM Consulting Advantage, IBM's platform for delivering consulting services. IBM will establish a dedicated OpenAI Practice, staffing it with thousands of consultants and engineers trained under OpenAI Partner Network certifications, and will also deploy forward-deployed units of specialized engineers to work directly with clients on AI implementation in regulated environments. The partnership includes joint-go-to market initiatives and creating industry-specific solutions for financial services, government, telecommunications, and retail, as well as key enterprise domains such as finance, procurement, customer operations, and HR. The deal comes less than a year after IBM announced a similar alliance with Anthropic.
This partnership consolidates the market for enterprise AI integration, signaling that large-scale AI adoption now requires vendor partnerships combining frontier models with implementation expertise rather than standalone platform purchases. Enterprise decision-makers and CIOs at major financial institutions, government agencies, and telecom companies now face a narrowing pool of integration partners, making this partnership a critical pathway for moving AI from pilots to production.
Shares of BSE declined as much as 5% to their day's low of Rs 3,283 on the NSE on Monday after Wall Street major Jefferies downgraded the counter to 'underperform' from 'hold' and trimmed the target price to Rs 2,940 from Rs 3,520, a downside of 16% from current levels. Jefferies said BSE's revenue exposure to domestic proprietary traders, which account for roughly half of equity-options notional turnover, faces pressure from three developments: a higher securities transaction tax, tighter Reserve Bank of India bank-guarantee rules and the introduction of the Closing Auction Session, or CAS. BSE's options average daily turnover in August 2026 so far is down 12% from July. Following the downgrades by Jefferies and Nuvama Institutional Equities, shares of stock exchange BSE fell for the fifth consecutive trading session, ending at ₹3,308 on Tuesday, lower by 0.7 per cent. The share has fallen to a four-month low, the lowest since April 13. Jefferies has cut its FY27-29 EPS estimates for BSE by 5-12%, citing expectations of slower average daily turnover (ADTO) growth and higher clearing costs.
Regulatory changes and declining trading volumes are compressing BSE's derivative revenue and earnings outlook, threatening its competitive position versus NSE. Trading firms, index providers, and equity investors should reassess their exposure to the stock exchange operator's ability to sustain growth.
Registered foreign investment in Vietnam topped $38 billion in the first seven months of 2026, up nearly 58 percent compared with the same period in 2025, driven by larger, high-tech investments rather than increased project numbers. The shift reflects Politburo Resolution No. 10-NQ/TW, issued June 8, 2026, which formally redirects Vietnam's FDI strategy from pursuing capital volume to prioritizing technology, innovation, and value creation. The resolution targets 200-300 billion USD in registered FDI for 2026-2030, roughly 40-50 billion USD annually. Priority sectors include semiconductors, artificial intelligence, electronics, biotechnology, modern logistics, financial services, and innovation-driven manufacturing. However, competition for investment is intensifying, particularly in semiconductors, artificial intelligence, data centers and renewable energy, requiring Vietnam to continue improving power infrastructure, logistics, human resources and its investment environment.
Vietnam is fundamentally repositioning itself as a high-value manufacturing and tech hub rather than a low-cost assembly destination, which will reshape which foreign investors gain market access and how government incentives flow. Supply chain planners, semiconductor manufacturers, and tech investors who operate across Asia need to recalibrate their Vietnam strategy as the government prioritizes sectors beyond traditional electronics assembly.