PURPOSE-BUILT AI INFERENCE SYSTEMS

Inference,
scaled
Indefinitely.

One chip at a time.
One connected system.

Tessora builds complete inference systems with TSR-Core, our proprietary NPU core technology, and TSR-Link, our chip-to-chip fabric. Purpose-built compute, stacked memory, and connectivity work together as one machine.

Meet the technology Why the system must scale

TSR-LINK / CONNECTED FABRIC64-CHIP VIEW

UP TO1,024CONNECTED CHIPS

One fabric. Compute and memory connected from chip to rack.

ENGINEERED FROM CHIP TO RACKTHE INFERENCE CHALLENGE

01 / GROWING INFERENCE DEMAND

More models. More context. More agents.

AI demand is scaling.
So must the system.

Larger models, longer contexts, deeper reasoning, and more concurrent agents are expanding the demands on inference infrastructure.

When processors wait on memory or chips wait on each other, operators pay for capacity they cannot fully use. When memory fills, they must limit context or concurrency. Scaling inference means growing compute, memory capacity, memory bandwidth, and network throughput together. [1][3][6]

THE COMPUTE CHALLENGE

More reasoning. More work.

Long prompts demand computation before the first token. Reasoning and agent workflows add generation steps and repeated model calls. Serving them concurrently requires compute capacity that can keep pace with the workload.

SYSTEM IMPLICATION

Put more compute to work while supplying the memory and communication bandwidth it needs.

Read the research

The commercial challenge: turn more of the system’s capacity into tokens delivered at the response time users need.

02 / TWO CORE TECHNOLOGIES

Purpose-built compute. System-scale connectivity.

TSR-Core.
TSR-Link.
One system.

TSR-Core executes the work. TSR-Link connects the capacity. Two proprietary technologies, engineered together for inference.

The NPU core, stacked memory, and fabric form a complete system architecture. From the computation inside each chip to communication across the machine, Tessora designs around useful token throughput and cost per token.

01 / PROPRIETARY NPU CORE TECHNOLOGY

TSR-Core

The compute engine for inference.

TSR-Core is Tessora’s proprietary neural processing unit (NPU) core technology, purpose-built for the computation behind AI inference—from processing model inputs to generating tokens.

Core execution and memory delivery are designed together to keep compute supplied with model data. Paired with stacked memory, TSR-Core puts sustained inference throughput and efficient use of silicon at the center of the chip architecture.

PURPOSE-BUILT EXECUTION. USEFUL TOKEN THROUGHPUT.

02 / DIRECT CHIP-TO-CHIP FABRIC

TSR-Link

The fabric for inference at scale.

TSR-Link is Tessora’s direct chip-to-chip fabric, designed to unite up to 1,024 chips as one inference machine. Direct connections link compute and memory without switches or optical modules inside the fabric.

System-wide memory pooling brings capacity together for models and active context. Software partitions the machine into instances for different models and tenants, matching connected resources to the workload.

CONNECTED CAPACITY. ONE INFERENCE SYSTEM.

COMPUTE + MEMORY

STACKED MEMORYTSR-CORE NPU

TSR-LINK FABRIC

ONE INFERENCE SYSTEM

Execute the workload

TSR-Core provides purpose-built compute for prompt processing, token generation, and repeated model calls.

Keep compute supplied

Stacked memory pairs capacity and bandwidth with the NPU core’s demand for model data and active context.

Scale the machine

TSR-Link connects compute and memory across chips, extending the architecture to larger models and more concurrent users.

THE MEMORY BEHIND EVERY USER

Longer context.
More users.
More memory.

Every active session needs a working memory. Longer documents and more concurrent users expand that working set. For a fixed transformer configuration, KV-cache demand grows with retained tokens and independent sessions. [2]

Context per session 64K tokens

16K64K256K1M

Independent sessions 16 sessions

11664128

64×relative KV-cache demand

One session at 16K tokens = 1×. Same model and cache precision; independent sessions.

03 / WORKLOADS THAT DRIVE DEMAND

Four workloads. One system architecture.

Built for the workloads
that push the limits.

LONG CONTEXT. MANY ACTIVE USERS.

Keep the context.
Serve the whole team.

An enterprise research team works across contracts, technical documents, and transaction records. Every analyst needs follow-up questions answered against a substantial working context. The system must hold those sessions while continuing to ingest new material.

WHAT HAS TO SCALE

Memory capacity for concurrent context; bandwidth for token generation; compute for large prompts.

The Tessora advantage: TSR-Core inference compute and stacked memory, connected by TSR-Link to keep large models and active context available across the system.

Research behind this scenario ↗

Explore four application scenarios informed by public research.

04 / TOKEN ECONOMICS

Better economics.
At inference scale.

For inference operators, the metric that matters is the cost of delivering tokens at the response time users need.

Tessora brings TSR-Core, stacked memory, and TSR-Link into one architecture to put more of the system to work. The business objective: serve demanding models to more users at a lower cost per token.

Download the company flyer

TOKEN ECONOMICS

8–10×

modeled cost-per-token advantage

For selected frontier-scale workloads compared with NVIDIA systems.

Discuss the system economics ↗

05 / THE TEAM

Silicon Valley experience.
A new inference architecture.

Tessora is led by Silicon Valley veterans and chip architects with 20+ years each in GPU, SoCs, and networking, with multiple successful exits.

Inference at scale spans processor design, memory systems, and chip-to-chip communication. Our team brings those disciplines together to build the complete machine. Founded in 2026, Tessora Systems is developing its platform in Silicon Valley.

20+

years of experience
per founding architect

2026

founded in
Silicon Valley

Request a company briefing ↗

BUILD THE INFERENCE ERA WITH US

Build the next
inference platform.

Explore TSR-Core, TSR-Link, the system architecture,
and the economics behind it.
Meet the team to discuss investment and partnership.

Investor briefing Technical briefing

ContactTessora Systems

info@tessorasys.ai 650 215 8585

800 W El Camino Real #180
Mountain View, CA 94040, United States

Inference,scaledIndefinitely.

AI demand is scaling.So must the system.

More reasoning. More work.

TSR-Core.TSR-Link.One system.