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CBRS Expands AI Inference Reach: Can It Challenge NVDA & GOOGL?
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Key Takeaways
CBRS' core cloud and services revenues surged 287% y/y to $127.7M in Q2'26.
Cerebras expects throughput to rise more than 20-fold in 18 months while doubling system speed annually.
CBRS expects manufacturing capacity to rise over tenfold in 2026, supported by secured TSMC wafer supply.
Cerebras Systems (CBRS - Free Report) is expanding its technology roadmap and customer base to strengthen its position in the fast-growing artificial intelligence (AI) inference market. The company is improving speed, throughput and power efficiency while expanding into coding, agentic AI, security and enterprise workloads. These initiatives broaden CBRS’ market opportunity and strengthen its competitive positioning against NVIDIA (NVDA - Free Report) and Alphabet (GOOGL - Free Report) . CBRS’ core cloud and other services revenues surged 287% year over year to $127.7 million in the second quarter of 2026, highlighting rising demand for its fast-inference capabilities.
CBRS expects to double system speed annually over the next several years and increase throughput by more than 20 times over the next 18 months. Its disaggregated inference architecture with AMD combines Cerebras systems with AMD Helios racks, retaining CBRS’ inference speed while increasing throughput by up to five times. This can increase tokens generated per system while reducing costs and power consumption per token, supporting better inference economics and data-center profitability.
Strategic partnerships are also expanding CBRS’ reach. Its collaboration with Amazon Web Services ("AWS") is expected to bring disaggregated inference to Amazon Bedrock in the first quarter of 2027. CBRS supports OpenAI’s GPT-5.6 Sol at a speed that is 10 times faster. Discussions with other hyperscalers are progressing, with first revenues expected around mid-2027 and a broader ramp thereafter. Notably, the company’s $25.4 billion in remaining performance obligations excludes backlog from AWS and other hyperscalers, leaving scope for incremental growth.
Customer expansion further broadens the opportunity. CBRS signed six deals worth more than $30 million each in the second quarter and added customers such as Cognition, Lovable and Figma in AI coding, while Block, AlphaSense and GSK are using its fast inference for agentic workflows. CrowdStrike represents a move into AI-powered cybersecurity. Cerebras’ customer base spans hyperscalers, foundation-model labs, AI-native companies, enterprises and sovereign AI initiatives.
Capacity investments should help support this growth. CBRS has more than 600 MW of data-center capacity live or contracted through the end of 2027, while its pipeline is measured in gigawatts. Manufacturing capacity is expected to rise more than tenfold in 2026, supported by secured TSMC wafer supply. Its wafer-scale architecture avoids HBM, CoWoS packaging and 3-nanometer fabrication, reducing exposure to several industry supply constraints.
CBRS Faces Tough Competition
NVIDIA remains a major competitive threat to Cerebras Systems. NVIDIA highlighted its Vera Rubin platform, which integrates central processing units, graphics processing units, NVLink, networking and software. Vera Rubin is designed to deliver 30 times higher throughput per megawatt and 35 times lower token costs than Grace Blackwell Ultra. NVIDIA has secured Vera Rubin purchase orders from every major hyperscaler, AI cloud provider and system original equipment manufacturer. Its Groq 3 LPX rack-scale language processing unit further targets high-speed inference.
Alphabet is increasing pressure on CBRS. Google Cloud offers Tensor Processing Units (TPUs), including TPU 8t and 8i, alongside NVIDIA accelerators, while its Virgo Network can connect up to 1 million AI accelerators across multiple data centers. Alphabet is expanding Gemini and agentic AI capabilities, with nearly 90% of Fortune 100 companies using Gemini Enterprise. Google has begun delivering TPU systems directly to customer data centers, marking an expansion of its AI infrastructure business beyond its cloud environment.
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CBRS Expands AI Inference Reach: Can It Challenge NVDA & GOOGL?
Key Takeaways
Cerebras Systems (CBRS - Free Report) is expanding its technology roadmap and customer base to strengthen its position in the fast-growing artificial intelligence (AI) inference market. The company is improving speed, throughput and power efficiency while expanding into coding, agentic AI, security and enterprise workloads. These initiatives broaden CBRS’ market opportunity and strengthen its competitive positioning against NVIDIA (NVDA - Free Report) and Alphabet (GOOGL - Free Report) . CBRS’ core cloud and other services revenues surged 287% year over year to $127.7 million in the second quarter of 2026, highlighting rising demand for its fast-inference capabilities.
CBRS expects to double system speed annually over the next several years and increase throughput by more than 20 times over the next 18 months. Its disaggregated inference architecture with AMD combines Cerebras systems with AMD Helios racks, retaining CBRS’ inference speed while increasing throughput by up to five times. This can increase tokens generated per system while reducing costs and power consumption per token, supporting better inference economics and data-center profitability.
Strategic partnerships are also expanding CBRS’ reach. Its collaboration with Amazon Web Services ("AWS") is expected to bring disaggregated inference to Amazon Bedrock in the first quarter of 2027. CBRS supports OpenAI’s GPT-5.6 Sol at a speed that is 10 times faster. Discussions with other hyperscalers are progressing, with first revenues expected around mid-2027 and a broader ramp thereafter. Notably, the company’s $25.4 billion in remaining performance obligations excludes backlog from AWS and other hyperscalers, leaving scope for incremental growth.
Customer expansion further broadens the opportunity. CBRS signed six deals worth more than $30 million each in the second quarter and added customers such as Cognition, Lovable and Figma in AI coding, while Block, AlphaSense and GSK are using its fast inference for agentic workflows. CrowdStrike represents a move into AI-powered cybersecurity. Cerebras’ customer base spans hyperscalers, foundation-model labs, AI-native companies, enterprises and sovereign AI initiatives.
Capacity investments should help support this growth. CBRS has more than 600 MW of data-center capacity live or contracted through the end of 2027, while its pipeline is measured in gigawatts. Manufacturing capacity is expected to rise more than tenfold in 2026, supported by secured TSMC wafer supply. Its wafer-scale architecture avoids HBM, CoWoS packaging and 3-nanometer fabrication, reducing exposure to several industry supply constraints.
CBRS Faces Tough Competition
NVIDIA remains a major competitive threat to Cerebras Systems. NVIDIA highlighted its Vera Rubin platform, which integrates central processing units, graphics processing units, NVLink, networking and software. Vera Rubin is designed to deliver 30 times higher throughput per megawatt and 35 times lower token costs than Grace Blackwell Ultra. NVIDIA has secured Vera Rubin purchase orders from every major hyperscaler, AI cloud provider and system original equipment manufacturer. Its Groq 3 LPX rack-scale language processing unit further targets high-speed inference.
Alphabet is increasing pressure on CBRS. Google Cloud offers Tensor Processing Units (TPUs), including TPU 8t and 8i, alongside NVIDIA accelerators, while its Virgo Network can connect up to 1 million AI accelerators across multiple data centers. Alphabet is expanding Gemini and agentic AI capabilities, with nearly 90% of Fortune 100 companies using Gemini Enterprise. Google has begun delivering TPU systems directly to customer data centers, marking an expansion of its AI infrastructure business beyond its cloud environment.
CBRS’ Share Price Performance, Valuation & Estimates
Shares of Cerebras have lost 38.3% over the past three months, underperforming the broader Zacks Business Services sector’s 11.1% decline.
CBRS Stock’s Price Performance
Image Source: Zacks Investment Research
Cerebras currently has a Value Score of D, reflecting an outstretched valuation.
Wall Street’s consensus price target implies a 50.47% upside from the current levels.
Price Target chart
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for Cerebras’ loss is pegged at 13 cents per share, an improvement from a loss of 22 cents over the past 30 days.
Cerebras Systems Inc. Price and Consensus
Cerebras Systems Inc. price-consensus-chart | Cerebras Systems Inc. Quote
Cerebras currently has a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.